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DevOps Manager – Lead Databricks, AWS & Azure Cloud Strategy for a High-Growth Data-Driven Organization (Hybrid TX) This Jobot Job is hosted by: Alex Millan Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $130,000 - $140,000 per year A bit about us: Our client is a fast-growing technology company advancing the way data, cloud, and AI infrastructure power enterprise operations. With over a decade of innovation and a strong culture rooted in servant leadership, collaboration, and performance, the company is scaling its data and DevOps capabilities to support next-generation analytics and machine learning platforms. They are seeking a DevOps Manager (Data & Cloud Engineering) to lead the team responsible for modernizing and expanding their cloud and data infrastructure across AWS and Azure. This is a strategic, hands-on leadership role focused on Databricks, CI/CD automation, infrastructure-as-code, and AI-driven data modeling. You’ll lead a cross-functional group of DevOps engineers, data engineers, and cloud architects — driving reliability, scalability, and performance across a high-impact environment. Why join us? Lead and scale a multidisciplinary team integrating DevOps, Data Engineering, and Machine Learning Operations at enterprise scale. Drive the evolution of a robust Databricks ecosystem, enabling advanced analytics, AI pipelines, and real-time data workflows. Architect and automate cloud infrastructure across AWS and Azure to ensure performance, security, and cost efficiency. Join a culture that prioritizes servant leadership, collaboration, and innovation in a high-growth environment. Competitive compensation package including base salary, annual bonus, and equity, plus comprehensive family benefits and career advancement opportunities. Job Details Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 7+ years of experience in DevOps, Cloud Infrastructure, or Data Engineering roles, with 3+ years in management or team leadership. Deep hands-on experience with Databricks for large-scale data and ML workflows, including model orchestration, pipeline management, and optimization. Experience fine-tuning or deploying Large Language Models (LLMs) using Databricks or similar frameworks. Proven expertise in AWS and Azure cloud environments. Strong proficiency in CI/CD tools (Jenkins, GitHub Actions, GitLab CI, or Azure DevOps). Expertise with Infrastructure-as-Code (Terraform, CloudFormation, or ARM templates). Skilled in Python, Bash, or PowerShell for automation and deployment scripting. Familiarity with Docker, Kubernetes, and container orchestration in production environments. Experience managing data-centric environments supporting data lakes, machine learning, and real-time analytics. Strong understanding of security, compliance, and governance frameworks (SOC 2, HIPAA, GDPR). Preferred: Certifications such as AWS Certified DevOps Engineer or Azure DevOps Engineer Expert. Experience with MLOps, streaming data, and cloud cost optimization. Background in Agile/Scrum methodologies with tools like Jira or Asana. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

Transportation Engineer/ Hybrid/ 401K -Match/ Great Benefits This Jobot Job is hosted by: Haley Lucas Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $85,000 - $135,000 per year A bit about us: Our firm is seeking a dynamic and experienced Transportation Engineer to join our innovative team. This hybrid role offers a unique blend of on-site and remote work, providing the opportunity to collaborate with our diverse team of professionals in the engineering industry. The successful candidate will have a strong background in ASTA, AutoTURN, ArcGIS, Civil3D, and GIS applications. Experience with signCAD, municipal and state DOTS, state and federal transportation, and designing highway plans is essential. The ideal candidate will be a Professional Engineer with proficiency in InRoads, MicroStation, power inroads SS4, connect edition, and open roads plus. Why join us? • Tiered medical coverage, • Dental/Vision, • 401(k) - Generous 6% Company match!, • Employee Stock Ownership, • Short- and long-term disability, • College savings plan, • Life insurance, • Paid time off, • Holidays, • Training/Certifications Job Details Responsibilities: • Design, develop, and implement transportation engineering solutions for a variety of projects., • Utilize ASTA, AutoTURN, ArcGIS, Civil3D, and GIS applications to create and manage transportation designs and plans., • Work with signCAD, municipal and state DOTS, state and federal transportation to ensure compliance with all regulations and standards., • Create and design highway plans that meet client specifications and industry standards., • Leverage experience with InRoads, MicroStation, power inroads SS4, connect edition, and open roads plus to optimize project outcomes., • Collaborate with multidisciplinary teams to ensure project goals are met on time and within budget., • Provide technical guidance and mentoring to junior team members., • Bachelor’s degree in Civil Engineering or a related field., • Professional Engineer (PE) license required., • Minimum of 5 years of experience in transportation engineering., • Proficiency in ASTA, AutoTURN, ArcGIS, Civil3D, and GIS applications., • Experience with signCAD, municipal and state DOTS, state and federal transportation., • Proven ability to design highway plans., • Extensive knowledge of InRoads, MicroStation, power inroads SS4, connect edition, and open roads plus., • Strong communication and team collaboration skills., • Ability to manage multiple projects and meet deadlines., • Excellent problem-solving skills and attention to detail., • Strong understanding of industry standards and federal/state regulations., • Ability to travel as needed for on-site project work. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

___ provides innovative identity and risk solutions, empowering institutions and individuals to transaction with confidence. We’re building the future of identity verification in the United States replacing a clunky, ineffective, and expensive status quo with solutions that are 10x faster, smarter, and more accurate. We’ve seen tremendous traction and are growing extremely quickly. Our real-time APIs have helped verify hundreds of millions of identities, starting with financial services and rapidly expanding into new markets. SentiLink is backed by world-class investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin. We’ve earned recognition from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and have been named to the ___ list every year since 2023. Last but not least, we’ve even made history - we were the first company to go live with the ___ and testified before the ___ on the future of identity. SentiLink supports a variety of ways to work, ranging from fully remote to in-office. We operate as a digital-first company with strong collaboration across the U.S. and India. We maintain physical offices in Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India. If you’re located near one of these offices, we would love for you to spend time in the office regularly. Some roles are hybrid or in-office by design. For example, our engineering team in India works primarily from our Gurugram office. We’re looking for a strong Engineering Manager to lead a backend/platform-focused engineering team responsible for powering SentiLink’s core products. This team owns the backend systems, external APIs, and services that power these experiences, as well as the technical foundation that ensures the product is scalable, reliable, and secure. You will lead a small but growing team of engineers responsible for building API-driven systems, evolving our platform architecture, and enabling product teams to move quickly with confidence. This role sits at the intersection of backend platform development, technical architecture, and people leadership. You’ll partner closely with product, data science, infrastructure, and front-end engineering teams to deliver high-quality systems in a fast-moving environment. We are looking for a manager who is fundamentally a strong backend engineer and enjoys staying close to technical work, contributing to architecture, guiding design decisions, and unblocking complex systems challenges. This is a remote, US-based position. Technologies: React, Golang, Python, PostgreSQL (RDS), Docker, OpenSearch, AWS technologies (Lambda, Cognito and other standard services) * Lead and grow a team of backend/platform engineers building the systems that power Intercept and other critical applications * Drive execution across planning, prioritization, and delivery with a focus on reliability and scalability * Own the technical direction of backend services and APIs, ensuring systems are secure, performant, and maintainable * Partner with product and front-end teams to translate product requirements into robust backend architectures * Collaborate with data science to productionize models and integrate decisioning systems into APIs and workflows * Work closely with infrastructure to improve system reliability, observability, and developer experience * Contribute to architectural decisions and guide the long-term evolution of our platform * Maintain high standards for code quality, testing, and operational excellence * Support incident response and ensure systems meet SLA expectations * Hire, mentor, and develop engineers while maintaining a high hiring bar * Foster a culture of ownership, accountability, and continuous improvement * Contribute to code and technical problem-solving as needed * 3-5+ years of engineering management experience leading backend or platform teams * Strong background as a senior or staff-level backend engineer * Deep experience building API-driven systems using languages like Golang, Python, or similar * Strong understanding of distributed systems, scalability, and system design * Experience owning and evolving backend architecture in production environments * Track record of shipping complex, customer-facing or platform systems * Comfortable leading technical discussions and diving into implementation details * Experience working in fast-paced, startup or growth-stage environments * Experience building platforms that support product teams (internal APIs, shared services, developer tooling) preferred * Familiarity with data-intensive systems, search (OpenSearch), or risk/decisioning systems preferred * Experience in fintech or highly regulated environments preferred $200,000/year - $240,000/year + equity + benefits * Employer paid group health insurance for you and your dependents * 401(k) plan with employer match (or equivalent for non US-based roles) * Flexible paid time off * Regular company-wide in-person events * Home office stipend, and more! * Follow Through * Deep Understanding * Whatever It Takes * Do Something Smart

Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done. Airtable’s mission is to bring the power of computing and software development to everyone. We are developing a powerful and extensible platform that our customers can leverage to solve a variety of different problems and workflows. We’ve seen our most sophisticated customers use the product to run global processes across thousands of employees, coordinate precision manufacturing pipelines, and consolidate previously siloed mission-critical data into a single source of truth. The complexity of these use cases requires us to be extremely thoughtful about how we design and implement new functionality in the product and make sure it’s both easy to use and comprehend for our customers and maintainable for us. As a Full-Stack, Backend engineer at Airtable, you will have the opportunity to work with customers to deeply understand their needs and workflows. You will collaborate with cross-functional partners across product management, design, research and data science to create innovative new features that enable our customers to do their best work. You will be responsible for owning and executing the end-to-end implementation of these new features that will contribute to making our toolkit even more powerful and successful. We currently have openings on: • The Enterprise Growth Team (Full-Stack/BE) delivers the foundational building blocks and collaboration primitives that enable enterprise builders to leverage AI to create, collaborate, and scale with confidence. This pod supports Airtable's broader goals by ensuring that our largest enterprises are provided with robust, AI-first primitives that can be used and then scaled to solve any problem our users might face. Beyond this, we serve as the stewards for experience quality and user delight across the Airtable product., • The Monetization Team (Full-Stack/BE) is a high-impact team focused on driving user engagement and revenue across Airtable’s core surfaces, including sharing, pricing, and payments. Engineers on this team build polished, user-facing features, run experiments that shape product direction, and maintain the systems that power billing and purchasing. You’ll collaborate closely with Product, Design, and Data, leverage AI to personalize the user journey, and play a key role in helping users discover and unlock the full value of Airtable., • The Platform Interoperability Team (Full-Stack/BE) builds the systems that allow agents, integrations, and connected workflows to interact with Airtable as a platform. As AI agents become a primary interface for how work gets done, we're ensuring Airtable is a first-class participant in that ecosystem. This team's mission is to make Airtable the most capable and well-connected platform in the agentic ecosystem. We're building the infrastructure that lets humans and agents alike treat Airtable as a source of truth they can reliably act on, whether through direct integrations, AI-powered workflows, or large-scale data operations. Please note: while we employ a hybrid working model at Airtable (flexible in working from the office or elsewhere), we are only hiring in the following locations at this time: • Based in the San Francisco Bay Area and are open to coming into our office (Embarcadero) at least ~2-3 times/week for team collaboration, • Based in New York City and are open to coming into our office (Soho) at least ~2-3 times/week for team collaboration, • Based remotely in the greater Seattle area, • Design and build systems that dramatically increase the scalability and performance of all applications built on Airtable, to earn the trust of our customers through predictable, reliable, and thoughtful interactions., • Work at the deep backend of the Airtable software stack within the Enterprise Product portion of the org, just above the Infrastructure org., • Partner with product managers, designers, and data scientists to understand the needs of potential users and build a product that unlocks their potential., • Work alongside and learn from a talented group of engineers with a diverse range of experiences and backgrounds., • You have 8+ years of industry experience with modern systems development, ideally database internals development., • You are interested in programming in TypeScript and Rust., • You are excited by a product-oriented backend role, i.e. not pure Infrastructure., • You have a good understanding of modern web technologies and large-scale web application architecture., • You have a background in computer science or a related field., • You believe the best product is the one that helps users accomplish their goals while growing the business., • You take a thoughtful approach to decision making; knowing when to move fast and when to do things right., • You have strong convictions, weakly held and assume validation and iteration are a given to produce the best results., • You show strong ownership instincts and sweat the details., • You are currently based and/or will be based in the San Francisco Bay Area Airtable is an equal opportunity employer. We embrace diversity and strive to create a workplace where everyone has an equal opportunity to thrive. We welcome people of different backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any characteristic protected by applicable federal and state laws, regulations and ordinances. Learn more about your ___. VEVRAA-Federal Contractor If you have a medical condition, disability, or religious belief/practice which inhibits your ability to participate in any part of the application or interview process, please complete our ___ and let us know how we may assist you. Airtable is committed to participating in the interactive process and providing reasonable accommodations to qualified applicants. Compensation awarded to successful candidates will vary based on their work location, relevant skills, and experience. Our total compensation package also includes the opportunity to receive benefits, restricted stock units, and may include incentive compensation. To learn more about our comprehensive benefit offerings, please check out ___. For work locations in the San Francisco Bay Area, Seattle, New York City, and Los Angeles, the base salary range for this role is: $213,000 - $339,900 USD Please see our Privacy Notice for details regarding Airtable’s collection and use of personal data relating to the application and recruitment process by clicking ___. For applicants that live in or have a link to Australia, please see this ___ for details regarding Airtable's collection and use of personal data relating to the application and recruitment process. 🔒 Stay Safe from Job Scams All official Airtable communication will come from an @airtable.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at ___. Learn more about avoiding job scams ___.

Sailor Health is on a mission to solve the mental health crisis among older adults. In the United States, older adults have the highest suicide rates of any age group yet receive the least mental health care. By 2030, over 65 million seniors will make up nearly a quarter of the U.S. population, creating one of the largest and most urgent challenges in healthcare. Sailor is building the platform for senior mental health, connecting older adults, therapists, healthcare professionals, and insurance plans. Our AI-native operating system powers seamless care coordination, real-time clinical insights, and insurance billing - enabling therapists to spend more time delivering compassionate care. We are growing quickly and have partnered with Medicare to offer affordable and exceptional psychotherapy to hundreds of patients. We are honored to have the support and backing of world-class founders from Ramp, Nourish, Headway, Charlie Health, and Spring Health. Location: HQ - New York City - Remote. We’re looking for a Founding Full-Stack Engineer to lead our AI-powered full stack from architecture to launch. You’ll work side-by-side with our co-founders to build the systems and AI infrastructure that power our platform – from therapist tooling to care navigation copilots. This is a ground-floor opportunity to design and launch an AI-first product from scratch at a startup with extreme PMF. You’ll own major technical decisions, shape our engineering culture, and bring bold ideas to life – fast. If you’re eager to move with speed and autonomy, and want your code to drive meaningful, measurable impact at scale, we’d love to meet you. * Build our V1 clinical operations layer: Design and ship core systems across our patient experience, therapist workflows, and EHR – from first line of code to production-ready tools. * Lead AI innovation: Build and scale AI-native features including speech-to-text triage, care navigation copilots, auto-summarized progress notes, intelligent intake, and real-time voice agents that speak with families * Set the technical bar and grow the engineering team: Own architecture and major technical decisions while rolling up your sleeves to code, review, and ship. Mentor and inspire teammates, shaping a culture of speed, excellence, and impact. * Move at the speed of light: Collaborate directly with clinicians, designers, and founders to ship, iterate, and improve in real-time – with no bureaucratic drag * You’re an A+ player. You have a burning desire to win, a track record of excellence, and a drive to build with urgency and precision. You want to be the best and you want your team win. * You have 4+ years of experience. You’ve contributed meaningfully to engineering teams in fast-paced, high-ownership settings – ideally at startups or in founder-facing roles. * You’re fluent across the stack. You move confidently between backend and frontend systems and can architect elegant, scalable solutions end-to-end. * You’re a mission-driven leader. You care deeply about solving the mental health crisis for older adults and want your work to have life-changing impact. You lead with empathy, set a high bar for excellence, and inspire those around you to move fast with purpose.

Location: Remote-friendly. Preference for SF Bay Area, Los Angeles, NYC, or Pacific Northwest. Sleeper is on a mission to connect people over sports through games and community. As one of the fastest-growing platforms in the fantasy sports and real-money gaming space, we’re redefining how sports fans engage—whether it’s through season-long leagues, pick’em contests, or real-time interactions with friends. Our team is lean, passionate, and product-driven. We obsess over user experience and believe that building delightful, fast, and reliable products is the best way to grow. Backed by some of the most respected investors in Silicon Valley, including Andreessen Horowitz and General Catalyst, we're building the future of sports engagement. We’re looking for a Staff Software Engineer - Backend to help us scale the core systems behind our fantasy sports and DFS (Daily Fantasy Sports) offerings. In this role, you’ll drive architectural decisions, build critical backend services, and mentor fellow engineers as we scale to support tens of millions of passionate sports fans. As a senior technical leader, you’ll collaborate cross-functionally to bring innovative features to life—from real-time contest engines and game logic to personalized content and secure, seamless payments. You’ll be empowered to own major parts of the backend stack and help define what "great" looks like in terms of performance, scalability, and reliability at Sleeper. * Design and build core backend systems that power Sleeper's games and real-time user experiences—fantasy contests, Sleeper Picks, user profiles, leaderboards, and more. * Architect scalable, distributed systems capable of handling millions of concurrent users with low latency and high availability. * Lead backend initiatives from concept to deployment, ensuring clean interfaces, well-documented services, and resilient infrastructure. * Optimize system performance and proactively address bottlenecks through monitoring, profiling, and capacity planning. * Collaborate cross-functionally with product, design, and frontend teams to deliver features that users love. * Mentor engineers, provide thoughtful code reviews, and shape backend engineering best practices and standards. * Drive innovation, technical direction, and team culture as a key engineering voice at the leadership level. * 7+ years of backend software engineering experience, including experience in staff-level or tech lead roles. * Proven ability to design and scale distributed systems that serve millions of users in real-time or gaming environments. * Strong proficiency in one or more backend languages (e.g., Go, Python, Node.js, Java), and an understanding of trade-offs between them. * Deep knowledge of databases (both SQL and NoSQL), caching strategies, and message queues (e.g., Kafka, RabbitMQ, Pub/Sub). * Comfortable designing and maintaining RESTful and/or graphql APIs, data models, and internal tooling. * Cloud experience (AWS, GCP, or similar), with familiarity with containers (Docker) and orchestration (Kubernetes a plus). * Strong product mindset—you care about the why, not just the how, and you build with users in mind. * Excellent communication and collaboration skills. You elevate your teammates and enjoy mentoring. * Bonus: Passion for sports, gaming, or building multiplayer or real-time systems. * Massive Impact – Your work will touch millions of users and help shape the next generation of sports entertainment. * High Ownership – We trust our engineers to make high-leverage decisions and drive meaningful outcomes. * Startup Agility – Move fast, ship often, and see your work in the hands of users quickly. * Culture-First Team – We’re a team of builders, thinkers, and sports lovers who value humility, collaboration, and having fun along the way. * Competitive salary ($225,000–$300,000/year not inclusive of stock options and benefits) * Equity * Comprehensive medical, dental, and vision insurance * 401(k) with company matching * Generous PTO and flexible remote work policy * Opportunities for fast career growth in a high-impact role * A small, focused team where your contributions truly matter Sleeper believes in quality over quantity, and intentionally keeps our team small as a result. In past roles, we found it very hard to make a big impact when companies grow too large in size, which has a detrimental effect on the product and the impact any single individual can have. Our team includes designers, engineers, product experts, and finance & operation focused on one thing — connecting people over sports. We believe in fair and equitable pay. Certain locations in the United States require job postings to include a reasonable estimate of the base salary range and/or a general description of benefits and other compensation applicable to the role. Competitive salary plus benefits including Medical, Dental, PTO, 401k. Please note that The salary range for this role ($225,000 to $300,000 per year salary) takes into account a wide range of factors that are considered in making compensation decisions including, but not limited to, skill sets; experience and training; licensure and certifications; and other business and organizational needs. The policy of Sleeper is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to affirmatively seek to advance the principles of equal employment opportunity. Sleeper is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by sending an email to . Headquartered in Las Vegas, NV, Sleeper is backed by Silicon Valley’s top investors, including Andreessen Horowitz, General Catalyst, and Expa. To learn more, visit us online at:___

About the Job: As a Strategic Account Executive, you will own the relationship with the most strategic customers in your territory. You will play a significant role in the expansion of growth within these accounts. You should be business oriented, customer focused, and a self-starter who works well with little supervision. Responsibilities: * Ownership of Strategic Accounts: You will be the primary point of contact and relationship owner for several strategic accounts at LaunchDarkly (~8 total) * Territory and Account Planning: Develop comprehensive territory and account plans, proactively drive outbound pipeline generation independently, and collaborate effectively with Business Development Representatives. * Ensure Successful Adoption: Ensure the seamless adoption of LaunchDarkly within these large enterprises through robust account management. Coordinate closely with pre-and-post sales engineering, customer success, and support teams to guarantee client satisfaction. * Elevate LaunchDarkly's Visibility: Increase LaunchDarkly's visibility and communicate our value proposition effectively to Vice Presidents and C-Suite executives. * Collaboration with Solutions Engineers: Work closely with your solutions engineer counterpart to deliver both business and technical value to prospects and customers. * Cross-functional Collaboration: Collaborate with internal teams, including product support, developer relations, marketing, and revenue operations, to align our offerings with customer business needs effectively. About You: * Entrepreneurial and Self-Motivated: You are driven and proactive, taking ownership of your role and responsibilities. * Passion for Learning and Growth: You are enthusiastic about continuous learning and personal development at LaunchDarkly. * Intellectual Curiosity and Ambition: You have a hunger for knowledge and strive for ambitious goals. * Excellent Communication: Your written and spoken communication skills are outstanding. * Highly Organized & Autonomous: You are capable of efficiently managing your workload and thrive in an environment that encourages autonomy. * Adaptability: You excel in a fast-paced and dynamic organizational setting. Qualifications: * 8-10+ years of Strategic Sales Experience (closing), preferably within the B2B technology sector. • Experience navigating complex deals over $1M. You have a demonstrable track record of consistently meeting or exceeding quota expectations of 1M+. * You possess the expertise to navigate consultative sales cycles with Executive-level stakeholders at Fortune 500 companies. * You have experience implementing and succeeding with a Land & Expand SaaS Sales strategy, effectively expanding business within large accounts (1M ARR+). * Recent experience working for an emerging technology software company is a significant plus. * Familiarity with and experience using the MEDDPIC sales methodology is advantageous. * Travel: expected range of 25% to 50% as needed Target pay ranges based on Geographic Zones* for Level P4: • Zone 1: San Francisco/Bay Area or New York City Metropolitan Area, Boston, Seattle: $262,000 - $361,000** On Target Earnings (OTE) includes base pay and commission, • Zone 2: DC, Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago: $236,000 - $325,000** On Target Earnings (OTE) includes base pay and commission, • Zone 3: All other US locations: $223,000 - $307,000** On Target Earnings (OTE) includes base pay and commission LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: • Improving the velocity and stability of software releases, without the fear of end customer outages, • Delivering targeted experiences by easily personalizing features to customer cohorts, • Maximizing the business impact of every feature through the ability to experiment and optimize, • Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types, • Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at ___. Do you need a disability accommodation? Fill out this ___ and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from ___.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains. Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit ___ directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to ___. Please notify us of any fraudulent representation by sending an email to ___.

15Five is the AI-powered performance management platform built for business impact. 15Five’s AI-powered all-in-one people management system is easy to use, delivers effortless insights, and enables managers to lead with impact so that companies and their people can thrive. Within the flow of work, HR leaders are empowered with data-driven insights and recommendations while managers are transformed into change-makers, accelerating engagement, performance, and retention. 15Five combines generative AI, custom analytics, and human-centered principles within a complete platform, including 360° performance reviews, engagement surveys, goal tracking, manager coaching and training, and ongoing feedback tools like guided 1-on-1s and check-ins. A career at 15Five is the chance to have high impact in a fast paced, remote startup environment that operates with focus, urgency, and accountability. Every role and every hire meaningfully impacts our trajectory. We’re a high-performance, high-purpose team that gives you the chance to Build the Future of Work. We run on High Standards and High Support — holding a high bar for results, ownership, clarity, and disciplined execution, while investing in manager enablement, skill development, and whole-person care. We are committed to a No B.S. environment, meaning we anchor ourselves in truth, course-correct in real time, and expect people to lean into direct conversations. We are focused on ensuring every 15Fiver can Work in the Future and that starts with proactively using AI across all aspects of your role to increase leverage, speed, and impact. If you're energized by a fast pace, high standards, and high accountability for yourself and others, you'll thrive here and we encourage you to apply. We take pride in our position as an innovator in the Human Resources landscape. This wouldn’t be possible without our outstanding team of engineers that apply next-generation thinking to our software - their abilities allow us to continually elevate the user experience and push leading performance-management technology into the global market. As an experienced Staff Data Scientist, you will play a critical role driving the discovery, creation, and integration of AL/ML models into our performance-management platform at 15Five. You will combine statistical methods with engineering best practices to help meet our business needs. We will rely on your statistical analysis skills, as well as insight for collecting, filtering, and preparing meaningful training data for AI/ML projects. You will be instrumental in modeling HR data and building rich structured context to power our knowledge base as well as AI agents engaging with our customers. You will work closely and collaborate with software and data engineers and guide them on operationalizing your work. You will be a self-starter, and build from the ground up leveraging your experience. • Applied data science, • Statistical analysis, • Feature engineering, • Supervised/Unsupervised model training & delivery, • Data analysis and exploration: Conduct in-depth analysis of large structured and unstructured datasets to uncover patterns, insights, and signals that inform AI models, knowledge representations, and product decisions., • Statistical modeling: Develop and apply statistical methods to identify patterns, trends, and correlations in HR performance, engagement, and behavioral data, supporting evidence-based insights and model development., • Feature engineering and knowledge modeling: Design and engineer features from diverse data sources (e.g., reviews, surveys, behavioral signals, organizational data) to power machine learning models and construct structured AI context layers and knowledge representations used by intelligent systems and agents., • Training data development: Lead the creation and curation of high-quality labeled datasets, including annotation frameworks, evaluation datasets, and ground truth benchmarks that support model training and validation., • Machine learning model development: Design, develop, and train machine learning models (supervised, unsupervised, and representation-learning approaches) for use cases that enhance customer outcomes and enable intelligent product capabilities., • Context layer and AI system support: Develop data structures, embeddings, and context-enrichment pipelines that enable AI agents to retrieve relevant organizational knowledge, behavioral insights, and product context., • Model deployment and integration: Partner with engineering teams to operationalize models in production environments, ensuring scalability, reliability, and alignment with product architecture., • Model evaluation and iteration: Design evaluation frameworks and continuously monitor model performance, iterating on models, data pipelines, and features based on experimentation, feedback, and evolving business needs., • Cross-functional collaboration: Work closely with product, engineering, and design teams to translate business problems into data science solutions and ensure models deliver measurable value., • Documentation and knowledge sharing: Maintain clear documentation for datasets, modeling approaches, evaluation frameworks, and data pipelines to ensure reproducibility, transparency, and knowledge transfer across teams., • AI evaluation and benchmarking: Design evaluation datasets and benchmarking frameworks to measure AI agent performance, including retrieval quality, reasoning accuracy, and contextual relevance., • Data governance and responsible AI: Ensure that data used in models and AI systems meets privacy, security, and ethical standards, particularly when working with sensitive employee performance and engagement data., • Education: BS or higher in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field, or equivalent practical experience., • Industry experience: 7+ years of experience in data science, machine learning, or applied statistics in a production environment., • Statistical expertise: Strong foundation in statistical methods and the ability to apply them to large, complex datasets to identify patterns, trends, and actionable insights., • Machine learning experience: Demonstrated experience developing, evaluating, and deploying machine learning models that drive measurable business impact. Experience with large language models (LLMs), embeddings, or AI-driven systems is a strong plus., • Programming proficiency: Strong programming skills in Python and SQL, with experience building data processing pipelines, training models, and analyzing large datasets., • Data infrastructure experience: Experience working with modern data platforms including data warehouses, relational databases, and distributed data processing systems., • MLOps and production systems: Familiarity with MLOps practices and tools for model training, versioning, deployment, monitoring, and lifecycle management., • Software engineering practices: Understanding of modern software development workflows, including version control (Git), CI/CD pipelines, code review, testing practices, and agile development methodologies. This role's Total Rewards package includes participation in an annual discretionary company bonus program, equity awards, and comprehensive benefit and wellbeing offerings.We offer amazing benefits that align with our values and culture at 15Five. Your Health & Wellbeing Medical, dental, vision with 15Five cost subsidy Employer paid Short-Term, Long-Term Disability, and Term LifeFamily planning support with enhanced medical plans and consultation programs Inclusive Benefits Stipend Access to mental health and wellness resources Your Life Flexible Time Off Program Generous paid leave for new parents Military leave Paid Company Holidays Sabbatical Program Your Future 401K with 4% Matching after 6 months Your Work Life Remote work Work with experts in leadership, culture, and personal development For more information see: Our Mission, Vision, & Values -___ Our People and Culture -___ Our Personal & Professional Development Resources -___ Reading over the role description and feeling like you don’t check every box? That’s okay; if you think you have what it takes but don’t necessarily meet all the criteria, please apply—you could be exactly who we are looking for! 15Five follows equitable hiring practices. Our compensation programs are designed to attract, motivate, and retain talented employees who are highly engaged, high performing, and have an exceptional impact on the business and our customers. The salary range displayed on each job posting reflects the target for new hire salaries for the role across all US locations. Within the range, individual pay is determined by budget allocated for the role and additional factors, including job-related competencies and skills, experience, and relevant education or training. Please note that the compensation details listed in US job postings do not reflect added total compensation including equity or benefits. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

At Chromatic, our mission is to improve the UX of the internet and safeguard the world's pixels. We're building tools that make it impossible to ship broken pixels. Thousands of frontend teams—including BBC, Shopify, and Adobe—use Storybook and Chromatic to map every state of their applications and ensure each one is tested and approved before reaching the billions of people who interact with them daily. We're seeking a backend engineer to contribute towards the Chromatic Platform API, which powers our web app, CLI, internal services, and Storybook add-ons. Thousands of developers and stakeholders rely on this API, which powers our UI Tests, UI Review workflows, and other features—all to ensure their frontends are regression-free. Our resilient, scalable platform APIs are built using Elixir, TypeScript & GraphQL. We are using MongoDB & PostgreSQL for data storage. Over the past year, highlights from our team's work include: * Launched accessibility regression testing to help customers continuously improve the accessibility of their frontends. * Updated our billing infrastructure to be more scalable for generating detailed usage reports and multiple metrics for usage-based billing. * Implemented MongoDB sharding and background process optimizations to ensure that our systems continued to scale with increased demand and growth. We're at a significant moment in our company's history. We're running a successful business at tremendous scale, and your work will immediately impact customers worldwide. We need your expertise to evolve our product and architecture. Shipping with momentum matters, but we also make space to think ideas through carefully and ship the right things. Our diverse team is full of passionate, curious people who can learn, grow, and feel supported in taking on new challenges. We dive into complex problems and create simple, high-quality, delightful solutions. If you're energized by the idea of building systems that prevent bugs from reaching millions of users daily, this is the perfect job for you. This is a fully remote position on a cross-functional team for individuals based in the mainland US or Canada. * Build and maintain scalable, reliable backend systems to power the Chromatic product. * Own projects from conception to completion, breaking down features into discrete units of work and maintaining momentum toward delivery. * Work cross-functionally at Chromatic to ensure feature continuity between Chromatic and Storybook and ship work that delights developers. * Continuously improve existing systems by identifying opportunities for optimization, refactoring, and modernization. * Participate in the team's support rotation, which is primarily within business hours. * Stay ahead of emerging trends in frontend architecture and developer tooling, identifying opportunities to enhance the platform. * 5+ years of hands-on backend engineering experience building scalable, resilient APIs and systems with modern Typescript and Elixir, with a test-driven approach. * Self-directed problem solver who can scope work, communicate progress, flag blockers early, and make sound technical and product trade-offs independently while staying aligned with stakeholders. * Strong opinions, weakly held—someone who pushes back on ideas to drive better outcomes, handles critique without defensiveness, and demonstrates a growth mindset. * Clear written and verbal communicator who provides straightforward, self-contained updates with necessary context in our distributed, asynchronous environment. * Focused executor who stays accountable to commitments, resists distractions, and delivers consistent progress even when things don't go as planned. * Genuinely invested in developer experience, whether you've shipped tools for developers or spent years deeply understanding frontend teams' pain points. * Have experience with Storybook or Chromatic. * Have experience building and maintaining a public API. We’d be even more ecstatic if you’ve done this with GraphQL. * Have experience building production-grade APIs in Elixir using Phoenix. * Have worked effectively in a distributed, remote-first team environment. * Have followed a non-traditional path into software and bring insight from experiences beyond engineering. We understand that even the best candidates might not meet all the above qualifications on day one. That's okay. If you’re excited about Chromatic’s mission and want to grow your skills, we’d love to hear from you. Salary Range: $167,000 - 218,000 USD + equity. Learn more about our compensation philosophy ___. For a list of our other benefits & a peek into life at Chromatic, visit our careers ___.

Skylight is a technology startup building the OS of the family. We make Skylight Calendar, the smart calendar loved by millions of families (plus Wired and the Wirecutter). Our latest product is Calendar 2, which just launched to rave reviews. Our mission is to connect loved ones by creating the world’s simplest products and services that improve family life. Our founders are former venture capitalists and serial entrepreneurs who have scaled this business to $300M+ in annual revenue while being completely bootstrapped and profitable. We get to grow a happy, healthy company focused on making products our customers love without investors breathing down our necks. Smart, hardworking people who care about making actually meaningful products love working here. People like you. We’re busy inventing new ways to simplify family life and help parents raise great kids – and we need your help! Come invent something new with us. We’re building a brand new Growth Pod at Skylight, and this is one of its founding engineering roles. You’ll be joining a small, focused team with a clear mandate: improve the metrics that power this business. That means subscription attach rate above all else, but also retention, and related growth goals across our product surfaces. In the near term, you’ll spend most of your time in our Shopify + Hydrogen e-commerce website, building and iterating and running experiments. Over time, we expect the work to shift: roughly 70% in our React Native mobile and web app, 30% in the e-comm site. This is a role that will grow and evolve as the Pod does. Our ideal candidate is a versatile frontend engineer with deep experience in Typescript and React and/or React Native, who is equally comfortable reasoning about business outcomes as they are writing clean, well-tested code. You care deeply about how your work moves the needle, not just whether it shipped. And you bring rigor to experimentation: designing tests carefully, interpreting results honestly, and building experiences that real families will encounter every day. Your title and compensation will be determined by your experience and expertise. Our bottom-line requirements are a strong foundation in Typescript, React, A/B testing, and analytics along with a genuine interest in growth and experimentation, and a drive to deliver outcomes that matter to the business. • Build, launch, and iterate on experiments across our e-commerce site and mobile/web app to improve subscription attach rate, retention, and other growth metrics., • Implement new features and UI flows in our Shopify + Hydrogen e-comm site and our React Native app with a high bar for quality and user experience., • Help evaluate, implement, and configure the A/B testing and experimentation tools the Growth Pod adopts., • Collaborate closely with product managers, designers, and growth-focused cross-functional partners to move quickly from hypothesis to live test., • Write high-quality, reusable, and maintainable code, and contribute to a comprehensive test suite to ensure stability as we ship fast., • Participate in code reviews and bring constructive, thoughtful feedback to elevate the team’s work., • Help establish processes for monitoring performance and tracking experiment results and health metrics., • Extensive experience (5+ years) with Typescript and React, with meaningful production work in React Native and/or a modern e-commerce frontend stack. Experience with Shopify (and especially with Hydrogen) would be amazing., • Genuine interest in growth engineering. You want to understand why users convert (or don’t), and you care about the business outcomes your code produces., • Comfort with A/B testing concepts and a respect for statistical rigor. You know the difference between a result and a fluke., • Strong understanding of frontend architecture and design patterns, with a high bar for code quality and user experience., • Competitive Salary + Equity Package, • 401K matching, • Wellness, learning, and home-office budgets, • Health, Dental & Vision Medical Plans, • Tremendous autonomy to set the direction of your work, • Unlimited PTO We hire across the U.S., but for legal reasons, we have to list NY and CO separately. For Colorado-based candidates, the range being offered for this role is $ 180-220K based on experience and for California-based candidates, the range being offered for this role is $ 180-220K based on experience. Pursuant to the San Francisco Fair Chance Ordinance, we will consider employment for qualified applicants with criminal histories in a manner consistent with the requirements of this law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

The Staff Development Engineer will work with our Development and Engineering teams to support the creation of high-quality, efficient solar PV projects. This role involves evaluating, analyzing, and designing in-house development projects, with a focus on optimizing for maximum financial returns. About Reactivate ☀️ Reactivate is a mission driven renewable energy developer, owner and operator powered by Invenergy and Lafayette Square. Our team brings together complementary impact investment and sustainable energy expertise to support renewable energy projects, including distributed solar projects (commercial, community, and small-utility scale), energy storage and EV charging projects. Reactivate is dedicated to ensuring an equitable energy future. We are a team on a path to be the country’s leading developer, financier and operator of renewable energy projects serving low-income communities. We have set bold targets to harness the power of renewable energy to generate savings for low-to-moderate income households, create jobs for underserved workers, help bring minority and women-owned businesses into the renewable energy supply chain, and help revive disinvested communities through tax payments on previously under-utilized land. You can learn more about Reactivate at ___. At Reactivate, Justice, Equity, Diversity and Inclusion are more than just words to us. These are values at the core of how we build our teams, cultivate our leaders, and create a company where everyone feels valued, appreciated, and free to be who they are. We strive to create workplaces that reflect the communities we serve, and we believe that our differences enable us to be a better team. We are not just looking for a culture fit, we are looking for a culture add. We hope you will consider adding everything that makes you uniquely you to our growing team. Responsibilities ⚙️ • Evaluate prospective sites and existing PV designs for development suitability, • Design and optimize solar energy systems, including layout and interconnection, • Develop PV system layouts and electrical design packages at various detail levels, • Perform energy production modeling to maximize development value, • Create single-line and three-line diagrams compliant with relevant standards, • Coordinate with engineering firms for detailed design packages, • Lead conceptual project layout design using AutoCAD, GIS or Visio software. Optimize design parameters such as DC:AC ratio and ground coverage ratio (GCR), • Analyze available solar resource data and prepare plant-level energy production estimates, • Conduct site visits to support site constructability evaluation, landowner meetings, and community outreach events, • Perform energy production analysis and financial optimization, • Manage interconnection applications and utility/ISO communications, • Participate in stakeholder meetings to support technical discussions, • Develop innovative engineering solutions to overcome development challenges, • Coordinate with cross-functional teams and external consultant, • Manage relationship with third party engineering firms, • Interface with cross-functional project teams up to and through project commercial operations, • Stay apprised of technology advancements and trends across PV module, inverter, racking and energy storage OEMs, • Support the progress of team initiatives, including safety, material/process template improvement, etc. Requirements 🎓 • 2+ years of solar energy system design experience, preferably working with the design of new facilities, • Bachelor’s degree in Engineering or equivalent work experience, • Ability to multi-task and manage deliverables for multiple projects at a time, • Excellent verbal and written communication skills, • Desire to work in a dynamic environment alongside people with varied interests and backgrounds, • Excellent organizational, interpersonal, time management, and problem-solving skills, • Proven and influential verbal and written communication skills, • Proficient with the Microsoft Windows Office suite, especially Word, Excel, and Salesforce, • Some travel required (up to 25%) Preferred Skills💡 • Familiarity with solar plant equipment, including PV modules, racking systems, inverters, and electrical balance of plant, • Proficient understanding of statistical analysis and linear regression models concerning meteorological data, • NABCEP Certified PV Installation Professional, • Experience with programs such as PVSyst, System Advisory Model (SAM), AutoCAD, PVcase, ArcGIS, Helioscope, and Aurora Solar is a plus, • Experience reviewing civil, structural, or electrical engineering design packages is a plus, • Experience managing third-party due diligence studies and energy production estimates, • Familiarity with concepts such as NPV, IRR, and LCOE, • Familiarity with communication protocols such as Modbus, TCP/IP, CANbus, or DNP3, • Some background knowledge of battery technology *Upon submission, we want to empower you to record your name via the Name Pronunciation tool so that our hiring team can ensure they are pronouncing your name correctly and that you feel properly acknowledged.

Are you ready to power the World's connections? If you don’t think you meet all of the criteria below but are still interested in the job, please apply. Nobody checks every box - we’re looking for candidates that are particularly strong in a few areas, and have some interest and capabilities in others. Location: Eastern half of the United States We are looking for a Senior Field Engineer to join our Innovation Group within the Professional Services organization at Kong. The Innovation Group is responsible for developing automated migration solutions using AI Coding Agents for our consultants to use during their consulting engagements. As a Senior Field Engineer in this group, you will be responsible for enhancing our Migration Automation Framework using state-of-the-art AI Coding Agents to build robust, scalable and reliable migration solutions. The role will blend software engineering, AI/LLM integration and API gateway expertise with strong customer-facing communication skills. In this role, you will interface and collaborate with a variety of peers and partners as well as everyone in the customer environment from Developers to Executives, representing Kong culture and values every day. Apart from driving the successful delivery of customer-facing migration solutions, you will also be working and collaborating closely with Kong’s different cross-functional teams (Product, Engineering, Customer Success, CRE, and others). This is an opportunity to work on cutting-edge, innovative customer solutions involving new and exciting technology with diverse people all over the world. As a valuable member of the Kong Professional Services organization, the work you do will be critical to our growth and success. What we are looking for: * 6+ years of relevant software development experience * Hands-on implementation experience with API gateway and/or API integrations in customer environments * Practical working knowledge of API’s, containers and micro-services * Proficient in Linux environments including Cloud and Development tooling * Experience with building and deploying software solutions using AI Coding Agents * Experience with application development and multiple programming languages required * Experience with major cloud providers such as GCP, AWS, and Azure preferred * Experience with Google Apigee or IBM API Connect & Data Power a plus * Passion and determination for technology and innovation * Strong organizational and change management skills with an ability to manage competing customer demands * Proven team player and solution builder who loves to work collaboratively in a fast-growing dynamic environment * Ability to occasionally travel to customers and Kong locations as needed * BS in Computer Science / B.A. or equivalent technical development experience What you will be doing: * Helping customer(s) succeed with their automated legacy API gateway migrations. You will be responsible for designing & building solutions, addressing technical challenges and providing hands-on technical implementation assistance to our PS consultants and customer technical teams. * Engaging with customers on migration projects, guiding them through the installation and implementation of Kong solutions in their environment. * Leading customer discussions, driving outcome-based professional services and providing technical thought leadership on field solutions we develop and deploy. * Collaborating internally with our Product Engineering, Customer Success, and Sales teams to ensure our customers are getting the most value out of their Kong solutions. * Developing internal solutions & tools for the wider field organization to help us push our technical boundaries and improve our ability to deliver value to our subscribers. * Writing or editing technical documentation and knowledge base articles for the solutions you develop. About Kong: Kong Inc., a leading developer of API and AI connectivity technologies, is building the infrastructure that powers the agentic era. trusted by the Fortune 500 and startups alike, Kong's unified API and AI platform, Kong Konnect, enables organizations to secure, manage, accelerate, govern, and monetize the flow of intelligence across APIs and AI models. For more information, visit ___.

Knock is on a mission to help products communicate with their users in a more thoughtful way. Building product notifications in-house takes months, often leading to poor user experiences. We believe that—when done right—product notifications help users find value in the products they use every day. That’s why we built Knock. We're a remote-first (with a NYC base) Series A startup of 25 employees that believe in the power of great software. We're APIs all the way down at Knock—Stripe for payments, Algolia for search, WorkOS for SSO. We're excited to add Knock to that list and to push forward the API-first movement. If you are, too, come join us and let's build something great together. We’re backed by top investors and operators including Craft Ventures, Afore Capital, Preface Ventures, Worklife Capital, Guillermo Rauch (CEO/Founder @ Vercel), Scott Belsky (CPO @ Adobe), Adam Gross (CEO @ Heroku), and John Kodumal (CTO @ LaunchDarkly), to name a few. We’re looking for a software engineer to join our small but growing platform team. Platform engineering at Knock is the foundation for everything else we do. Because Knock is built by and for engineers, there’s a blurry line between “platform” and “product.” The product is the platform. The platform team is a specialized engineering team at Knock that designs, builds, and maintains the infrastructure and services needed in order to run our product. They are responsible for the availability and reliability of our service, from API to notification engine execution. They support the product engineering team in their role to build and ship customer-facing features. Knock’s platform engineers orient around measurable goals set by our CTO, and work with a high degree of autonomy to achieve greater scale, resilience, and performance for our customers & partners. This is a high-agency role. As a team member, you’ll craft and own initiatives to help us hit our goals. The team collaborates heavily, but each individual has decision-making authority over their initiatives. We care deeply about building a team and culture that is inclusive and equitable for people of all backgrounds and experiences, and believe firmly that the best teams are diverse. We particularly encourage people from underrepresented communities to apply. Last thing: you can be a great fit even if you don't perfectly match the requirements below. We know there's a lot we don't know and haven't thought of yet, and we're looking for teammates who can tell us what those things are. If that's you, don't hesitate to apply and tell us about yourself! As a platform engineer you’ll contribute across a range of scaling, product and DX initiatives. By way of example, here are some platform team highlights from the last year: * Facilitated a 8x YoY increase in monthly messages sent * Significantly improved latency and margins of our observability product features by adopting ClickHouse for event data * * Instrumented our services with distributed tracing Over the next year you may find yourself working on: * Scaling our service for the next several growth multiples (billions of txns/month) * Large-scale dynamic user segmentation * Multi-region support * Canary deploys * We’re looking for a senior engineer (5+ years of experience) * While experience with our stack is not required, you should be very comfortable with multiple levels of the modern backend stack. For example, you might have experience with GCP or AWS, a modern language, container orchestration, and a tool such as Chef or Ansible. We work primarily with Elixir, Terraform, Kubernetes, and AWS. * We’d love to see expertise in an area that complements our team’s skillset, be it databases, event-driven architectures, security, dev tooling, etc. * The ideal candidate will have experience building and operating large-scale production systems at a high-growth startup. * Strong written and verbal communication skills are a must. The team is internationally distributed and relies heavily on asynchronous communication. Our backend services are primarily written in Elixir (which runs on the Erlang VM). We build our front end using Next.js in TypeScript, powered by GraphQL. Our code runs in AWS on EKS using a mixture of Postgres on Aurora, Redis, MongoDB, and ClickHouse for data storage. All our infrastructure is written in Terraform and continuously deployed via Terraform Cloud. All Knock engineers have access to Claude, Cursor & Devin licenses and budget for LLM API spend (e.g. Claude Code). We’re finding that AI tooling increases our leverage as a small team, but we’re also clear-eyed about AI’s current limitations. You don’t need to be all-in on AI to join this team, but you should be curious and willing to learn with us.

Headway’s mission is a big one – to build a new mental health care system everyone can access. We’ve built technology that helps people find great therapists with the first software-enabled national network of providers accepting insurance. 1 in 4 people in the US have a treatable mental health condition, but the majority of providers don’t accept insurance, making therapy too expensive for most people. Headway is building a new mental healthcare system that everyone can access by making it easy for therapists to accept insurance and scale their practice. Headway was founded in 2019. Since then, we’ve grown into a diverse, national network of over 34,000 mental healthcare providers across all 50 states who run their practice on our software. We’re a Series D company with over $325m in funding from a16z (Andreessen Horowitz), Accel, GV (formerly Google Ventures), Spark Capital, Thrive Capital, Forerunner Ventures and Health Care Service Corporation. We want your time here to be the most meaningful experience of your career. Join us, and help change mental healthcare for the better. Building a new mental healthcare system at Headway is only possible because of the scale and leverage that software can provide. The engineering team at Headway is a small but mighty team using technology to build that future (and have a fun time while doing it!). • Focus on the mission: We view software as a means of effecting change in the world, not as an end unto itself. We write software to empower our patients and therapists to better solve the problems they’re facing., • Ship small, learn fast: We are building new and novel products and believe that we learn what our users need by quickly shipping and iteration, • Everything is a product: Whether it's our patient search experience or a developer productivity improvement, we treat everything we build at Headway as a product with end-users in mind., • Optimize for trust: We believe that engineers should be continually learning. To learn effectively and to be productive, engineers must feel safe asking questions and discussing mistakes., • Languages: Python 3, • Libraries: FastAPI, SQLAlchemy, React, • Datastores: Postgres, Redis, • Infrastructure: AWS (Fargate, ECS, S3, and more), Spark and Kafka, • Monitoring: Datadog, PagerDuty, • Version control: Github There is a lot that we're building at Headway, but here are a few projects to give you an idea of the problems we're tackling. • Financial Processing and Bookkeeping: One way to think about Headway is that we help thousands of independent providers operate a small practice. Having detailed and accurate financial systems is critical to their success. Their livelihood depends on us and as their trusted partner, we take that seriously., • Claims Management and Insurance Processing: We make a guarantee to patients when they seek care that they will have a predictable cost with us. We make a guarantee with providers that they will have easy insurance operations. Meanwhile, Headway processes hundreds of thousands of claims monthly across all states, all major insurance networks and governmental programs. Our systems must be up to the task.Internal Tooling Platform: In healthcare there is always a human component. Engineers build internal tools for multiple non-technical teams and need a scalable, quality platform to deliver them. This platform supports tools for our CX team who is interfacing directly with patients and providers, our ops team who is dealing with claims denials and escalations, and our medical team who is dealing with care quality., • Therapist practice management: Building a best-in-class platform for Headway therapists to manage their patients, appointments, payments, and more., • Patient search and matching: Transforming the therapist search experience and becoming the trusted guide for patients to find the right therapist. We’re looking for experienced engineers who have the ability to deal with ambiguity and learn new technologies and systems. Below are some additional experiences we think help engineers succeed at Headway. • You have experience working on system that power businesses and support modern web applications., • Strong understanding of at least one programming language and comfortability with others, • Shaped work to achieve company and team goals, • Flexed into new technical and non-technical areas as projects require, • Committed team member supporting the growth of those around them, • Designed software architecture at the systems-level, • Led shaping of technical requirements, roadmaps, and strategy, • Led and mentored teams of engineers, • Evaluated new technologies and build vs. buy decisions, • Recruited, interviewed, and on-boarded engineers After you apply to Headway, here are some details of what to expect during the interview process. • Initial screen: You’ll connect with someone in recruiting so you can learn more about the team, Headway’s mission and exciting growth, and we can get a better idea of your background., • First round: You'll meet with an engineer on the team to do some live coding and learn more about the engineering team., • Final rounds: You’ll meet several more team members for technical and non-technical interviews and leave with a fuller picture of what it’s like to work at Headway., • References and the Offer: Our favorite part of the process! We'll send over all of the details, including specifics on employee equity, and congratulatory messages from excited future team members! Compensation and Benefits: • Salary information is based on a single salary target per role:, • The starting salary for entry-level career engineers is $140,000 and increases to $170,000 and $200,000 based on industry tenure and experience., • Benefits offered include:, • Equity Compensation, • Medical, Dental, and Vision coverage, • HSA / FSA, • 401K, • Work-from-Home Stipend, • Therapy Reimbursement, • 16-week parental leave for eligible employees, • Carrot Fertility annual reimbursement and membership, • 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st, • Flexible PTO, • Employee Assistance Program (EAP), • Training and professional development We believe a team's strength is in its people, and we cannot achieve this mission without a team that reflects the diversity of this problem – across race, ethnicity, gender, sexuality, age, national origin, religion, family status, disability, military status, and experience. Headway is committed to the full inclusion of all qualified individuals. As part of this commitment, Headway will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or receive other benefits and privileges of employment, please contact ___ Headway employees work remotely across the US, with the option to work from offices in New York City and San Francisco. Headway participates in E-Verify. To learn more, click ___

About the role: As a Solutions Integration Engineer at Samsara, you will be an integral member of the Professional Services Organisation responsible for helping Samsara’s most strategic customers build and implement B2B integrations with our IoT platform. In a given week, you may work with a large long-haul trucking company, an industrial-scale food producer, and a public utility to map a customer’s integration needs to current and future API capabilities, help building custom integrations, provide guidance and technical training to implementation teams to follow best practices, troubleshoot issues and advocate for fixes on behalf of customers (working with our tech support team), and ensure a successful customer relationship. A successful Solutions Integration Engineer at Samsara will develop a thorough understanding of B2B integrations to ensure the proper technical solution is delivered to our customers. Your role will be cross-functional, working alongside and connecting product managers, business operations, sales, and systems engineers, enabling you to experience multiple aspects of a hyper-growth company from within. Since Samsara is a fast-growing company with emerging IoT technology, you can expect this role to evolve, with opportunities to take on increasing levels of responsibility and impact our growth This is a remote position open to candidates residing in the US except Alaska, Austin Metro, Boulder Metro, California, Chicago Metro, Connecticut, Dallas Metro, Denver Metro, Houston Metro, Maryland, Massachusetts, New Jersey, New York, Rhode Island, Seattle Metro, and Washington, D.C. You should apply if: • You want to impact the industries that run our world: Every phone call you answer and every email you send can affect whether truck drivers deliver goods on time and without accidents, whether students get dropped off safely from school, or whether power gets restored quickly after a natural disaster., • You thrive the most when solving problems: Our constantly expanding technology and the complexities faced by our customers provide an exciting range of challenges for our Customer Success teams. With a growth mindset and a desire to learn, you will strategically partner with our customers to find unique solutions to help keep their operations safe, efficient, and sustainable., • You are a natural relationship builder: Whether the relationship is with our customers or with cross-functional teams in Samsara, you are in constant communication and collaboration with key stakeholders to win as a team., • You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. This Customer Success team is still shaping its future and you will have plenty of autonomy and opportunities to master your craft in a hyper growth environment., • You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by the best and brightest professionals out there. In this role, you will: • Lead system integration projects with customer development teams, Samsara’s partners, 3rd-party systems integrators or build your own enterprise-grade scalable solutions using various Samsara’s Web integration technologies (APIs, Webhooks, Connectors, and more.), • Design/develop/define complex project scopes, technical specifications and business requirements between Samsara and multiple stakeholders - from design through delivery and beyond, • Plans complex projects that involve a variety of people, dependencies, uncertainty, risk and impact. Comfortable making delivery commitments for larger projects, • Accounts for maintainability, portability, scalability, and reliability in technical designs and knows when to trade them for speed of delivery, • Build robust and scalable integration architecture to help solve use cases like Real-time Data Streaming, Event subscriptions, Batch processing, etc., • Build, test, validate, and review code to ensure completeness and highest quality deliverables, • Advise and document best practices around integrations using Samara APIs and products, • Test, validate and review code to ensure completeness and highest quality deliverables, • Leads by example: conducts thorough code reviews and provides feedback that is actionable and insightful, • Exchange best practices, share knowledge with the Samsara product team, developer community, and advocate for customer experience, • Collaborate with the Samsara’s Developer EcoSystem team closely to improve our API experience and featureset, • Contribute to the enhancement of Professional Services methodologies and tools, • Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices Minimum requirements for the role: • Bilingual, with good speaking and working proficiency in Spanish, • 5+ years of experience designing and developing Integration solutions using proven architecture methodologies, • Experience in gathering data integration requirements and translating into good technical data designs, • Can write, read, and understand code in Python and any one additional programming language (for example, JavaScript, AppScript), • Proficient in leveraging LLM-based tools for code generation, prompt engineering, automation, and enhancing developer productivity, • Experience with agentic workflows, including the design, orchestration, and deployment of multi-agent systems for enterprise use cases, • 3+ years hands-on experience in developing solutions leveraging any of the modern Cloud Services (AWS, Azure, or GCP), • Hands-on experience in building or working with RESTful APIs/Webhooks and modern databases, • Knowledge of PowerBI/Tableau, SQL, and data visualization concepts is a huge plus, • Hands-on experience with customer evaluations and deployments, with the ability to juggle multiple customer engagements in parallel, • Proven ability to effectively manage complex projects with a wide range of stakeholders including C-Level executives, • Strong written communication and presentation skills, demonstrated ability to work with a diverse set of teams, • Proficient in using GitHub for version control and collaboration, • Experience working with Modern Agile tools (e.g. Jira, Confluence) An ideal candidate also has: • Bachelors in Engineering, Computer Science, or related discipline, • Minimum 3+ years customer facing experience building and supporting Enterprise-scale integrations or API scripting, • Consistent track record of configuring and deploying complex technical solutions, • Familiarity with B2B system integration projects and workflows, • Bias-to-action and hands-on experience delivering business results, • Tinkering with hardware gadgets, sensors, or vehicles is a plus, • Familiarity with fleets and logistics is a plus, • Understanding of vehicle diagnostic systems is a plus

Company Satoshi Energy is at the forefront of energy innovation, championing the colocation of AI and bitcoin data centers with renewable energy assets. As the first mover in 2018, we have developed nearly 500 MW of data centers in ERCOT, with an additional 5 GWs of data center projects under development. The Role Our team brings deep expertise across electric power markets, project development, and software development, positioning us as trusted experts in this rapidly evolving market. We are seeking a highly motivated and detail-oriented Transmission & Interconnection Engineer to optimize and own our interconnection processes, transmission planning, and site evaluation capabilities. This role is ideal for an engineer with transmission planning or design experience who thinks commercially and thrives in startup environments. You'll bridge technical rigor with business judgment, conducting shadow studies and land assessments, navigating utility interconnection processes, and identifying opportunities that balance engineering feasibility with market opportunity. Working at the intersection of renewable energy, data centers, and grid infrastructure, you'll be instrumental in scaling our powered land development business from early-stage projects to a robust pipeline. As a foundational technical hire, you'll have significant autonomy to build processes, shape strategy, and grow with the company as we expand our impact on the energy transition. Your Day-to-Day • Interconnection Process & Transmission Planning: You will optimize and manage our interconnection workflow from initial feasibility through commercial operation - navigating utility processes, load study requests, liaising with distribution and transmission utilities to understand/adhere to/influence requirements, conducting load flow studies, interfacing with ISOs and industry technical/regulatory bodies, and ensuring projects meet applicable technical standards. You will become our internal expert on grid interconnection across multiple ISOs and utility territories., • Site Assessment & Technical Diligence: You will evaluate potential development sites through transmission capacity analysis, shadow studies, infrastructure assessments, and conceptual designs. You will identify technically viable and commercially attractive opportunities that align with our development strategy., • Stakeholder Management: You will work closely with internal teams and external consultants to maintain alignment, build trust, and keep projects moving. You will balance internal and external resources to meet evolving needs., • Process Development & Technical Infrastructure: You will build the frameworks, templates, and best practices that enable our team to scale efficiently, from interconnection application checklists to technical screening criteria. Your systems will ensure consistency, reduce project risk, and accelerate our development timeline., • Cross-functional Collaboration: You will work closely with our project development, sales, and operations teams to translate technical constraints into business decisions. Your ability to communicate complex transmission concepts to non-technical stakeholders will be essential as you help shape site selection strategy, inform go/no-go decisions, and support commercial negotiations., • Minimum of 4 years of experience in transmission planning, power system design, or utility interconnection engineering, • Bachelor's degree in Electrical Engineering, Power Systems Engineering, or related technical field, • Hands-on experience with transmission planning or design engineering at a utility, ISO, developer, or engineering consultancy, • Demonstrated expertise in interconnection processes, including study management, utility coordination, and navigating ISO/RTO requirements across multiple markets, • Proficiency with technical analysis tools including AutoCAD (DWG files), power system modeling software (PSS/E, PowerWorld, or similar), and GIS platforms, • Experience conducting site assessments including shadow studies, transmission capacity analysis, substation evaluations, and land constraint identification, • Strong understanding of grid infrastructure, transmission system planning, and the technical requirements for interconnecting large electrical loads, • Ability to translate complex technical concepts into business implications and communicate effectively with non-engineering stakeholders, • Excellent organizational skills with attention to detail in managing technical documentation, study timelines, and regulatory submissions, • Commercial mindset with an understanding of how technical decisions impact project economics and development timelines, • Self-starter who thrives in startup environments: comfortable building processes from scratch, wearing multiple hats, and working with ambiguity, • Creative problem solver who can balance engineering rigor with practical, first-principles thinking to find innovative solutions Preferred Skills • Obsession with sustainable energy, sound money, and/or emerging AI technology., • Experience successfully managing multiple projects in a fast-paced environment., • Knowledge of substation designs., • Knowledge of the Engineering, Procurement, and Construction stages of infrastructure development., • Battery and/or data center development experience., • Experience in capacity markets and ancillary services markets., • Transmission planning experience in ERCOT. Company Culture • We are free thinkers, we believe in meritocracy, we challenge assumptions meticulously, and we don’t get overly emotional if we’re wrong., • We believe in providing freedom and responsibility to foster a growth culture based on trust, transparency, and teamwork., • We encourage each other to seek discipline and focus in all parts of life, so that we can always perform at our best on the job., • We are a distributed team on a mission to build decentralized global power markets., • Bonus plan, 401k, and equity participation., • Medical, Dental and Vision., • Phone and Internet stipend, • Home office stipend., • Flexible PTO., • Company gatherings in fun places - the best of being fully remote while still coming together regularly!, • Benefits vary for international applicants.

At ___, we’re building onchain markets that enable anyone to get exposure to technological progress and adoption — starting with perpetual futures for pre-IPO companies. Private equities are a $13+ trillion asset class that retail has been locked out of for too long. Top startups have stayed private for longer than ever, leaving no way for everyday investors to participate in their growth. Ventuals makes private markets public — enabling anyone to trade top private companies like OpenAI, SpaceX, Anthropic, and Stripe. We’re building on Hyperliquid, and have had amazing testnet traction in the 2 months since launch, with ~10,000 weekly active traders and >1M cumulative trades, and zero marketing spend. Our seed round was led by Paradigm, with additional angels from Coinbase Ventures, Electric Capital, Ethereum Foundation, Uniswap, and Flashbots. Our small, world-class team is mostly based in New York, and we often work out of a beautiful office in Soho with other early-stage Paradigm portfolio companies. We’re looking for a senior or staff-level engineer to join Ventuals ahead of our mainnet launch. You’ll be shaping the user experience, trading systems, and infrastructure that our users will interact with on day one. As a generalist, you’ll work across the entire stack – from shipping frontend features on our ___ app, to building core trading APIs, to scaling the infrastructure that power our exchange. We're looking for an experienced IC who wants to: * Ship user-facing features in TypeScript, React, and ___ * Build backend services that power our exchange, including trading, market data, indexing, and monitoring systems * Help shape the product roadmap and strategy alongside the founders and the rest of the team You're a senior or staff-level IC that has built technical user-facing products before. We’re looking for someone that feels a deep sense of duty to the users of their work. * Ability to thrive in a fast-paced, ambiguous startup environment * Strong track record of ownership and high-agency execution * Pragmatic builder who can write clean, maintainable code but knows when to move fast * Excellent written and verbal communication; strong technical documentation skills * Curiosity and adaptability; willing to dive into new technical domains quickly * Work on a frontier product with clear, proven user demand * High autonomy and outsized impact as one of the first engineers * Be part of a high-performance, low-ego culture that values grit, excellence, and execution * Partner directly with founders on product and technical strategy ___ (Co-Founder and CTO) — Previously CTO at Shadow, Paradigm EIR, and Staff Engineer → Engineering Manager at Airbnb, where she built the realtime indexer for user profiling used sitewide and managed a team of 15 engineers. Has been highly active onchain since DeFi summer 2020. ___ (Co-Founder and CEO) — Previously CEO at Shadow, Paradigm EIR, and Designer → Staff Product Manager at Airbnb, where he was the first PM on Airbnb Plus and helped take it from a whiteboard idea to a $100M/yr business in 2.5 years. Has been highly active onchain since DeFi Summer 2020. Emily and Alvin are siblings and have worked together for the past 10 years! Highly competitive salary and equity — we target 90th percentile compensation for both salary and equity. You’ll be expected to act like an owner, because you are one. Great healthcare — gold-tier company healthcare plans. We cover 99% of medical, dental, vision premiums for employees, and 50% for dependents. 401k — flexible 401k retirement plan with contribution matching. Hardware setup — we’ll buy whatever you need to be productive.

Based in San Francisco, ___ is a rapidly growing healthcare technology and clinical services company with a mission to ensure individuals receive the safest and most effective treatments for their unique and evolving healthcare needs. Frequently, medications cause more harm than good. Incorrect drugs and doses costs the US healthcare system over $528 billion in waste, avoidable harm, and hospitalizations each year. Arine is redefining what excellent healthcare looks like by solving these issues through our software platform (SaaS). We combine cutting edge data science, machine learning, AI, and deep clinical expertise to introduce a patient-centric view to medication management, and develop and deliver personalized care plans on a massive scale for patients and their care teams. Arine is committed to improving the lives and health of complex patients that have an outsized impact on healthcare costs and have traditionally been difficult to identify and address. These patients face numerous challenges including complicated prescribing issues across multiple medications and providers, medication challenges with many chronic diseases, and patient issues with access to care. Backed by leading healthcare investors and collaborating with top healthcare organizations and providers, we deliver recommendations and facilitate clinical interventions that lead to significant, measurable health improvements for patients and cost savings for customers. Why is Arine a Great Place to Work?: Outstanding Team and Culture - Our shared mission unites and motivates us to do our best work. We have a relentless passion and commitment to the innovation required to be the market leader in medication intelligence. Making a Proven Difference in Healthcare - We are saving patient lives, and enabling individuals to experience improved health outcomes, including significant reductions in hospitalizations and cost of care. Market Opportunity - Arine is backed by leading healthcare investors and was founded to tackle one of the largest healthcare problems today. Non-optimized medications therapies which cost the US 275,000 lives and $528 billion annually. Dramatic Growth - Arine is managing more than 18 million lives across prominent health plans after only 4 years in the market, and was ranked 236 on the 2024 Inc. 5000 list and was named the 5th fastest-growing company in the AI category. The Role: As a Senior Backend Software Engineer at Arine, you'll build and maintain the core APIs and data processing systems that power our healthcare platform. You'll work with Python, AWS technologies, and both SQL and NoSQL databases to develop scalable solutions that integrate with healthcare systems and securely process patient data. What You'll Be Doing: • Architect and implement production-grade Python applications (REST APIs, CLIs, libraries, and scripts), • Design and build integrations with Electronic Health Record (EHR) systems (Epic, Oracle Health/Cerner), handling HL7/FHIR data formats, • Lead development of new features using AWS stack, • Troubleshoot and resolve production issues in mission-critical healthcare infrastructure, • Establish testing standards and write comprehensive unit/integration tests, • Drive technical improvements: refactor legacy code, optimize performance, reduce technical debt, • Mentor junior engineers and contribute to technical architecture decisions, • Collaborate cross-functionally with Frontend Engineers, Data Engineers, and Clinical Operations teams Our Ideal Candidate Possesses: Technical Expertise: • 5+ years of Python development with proven ability to build and deploy production APIs, CLIs, libraries, and scripts, • Advanced proficiency in AWS Services: Lambda, DynamoDB, S3, RDS, CloudFormation, SQS, SNS, EventBridge, Kinesis, • Experience with container orchestration (EKS, ECS, or Kubernetes), • Experience with healthcare data, EHR systems (Epic/Cerner), or HL7/FHIR standards, • Experience in architecting and scaling multi-component distributed systems, • Deep understanding of:, • Synchronous vs. asynchronous design patterns and when to use each, • SQL (PostgreSQL) vs. NoSQL (DynamoDB) database selection, design, and optimization, • REST API design principles, • Experience with Test-Driven Development (TDD), unit/integration testing, and mocking strategies, • Experience with Git/GitHub workflows, branching strategies, and code review processes Leadership & Collaboration: • Experience owning complex projects end-to-end: gathering requirements, designing solutions, implementing, and delivering, • Strong communication skills to translate technical concepts for stakeholders and collaborate effectively, • Experience mentoring junior engineers and contributing to technical decision-making, • Experience working in fast-paced environments with the ability to adapt to changing priorities, • Proven ability to deliver high-quality work against deadlines, • Ability to work independently and drive initiatives forward while being a collaborative team player Nice-to-Haves: • Experience with AI-assisted coding tools (e.g., Claude, Cursor, GitHub Copilot) to accelerate development while maintaining code quality standards, • Experience with CI/CD tools: Jenkins, Docker, Kubernetes, GitHub Actions, • Experience with event-driven and serverless architectures, • Experience with database optimization: query tuning, index design, aggregation strategies, • Experience with monitoring/observability tools (CloudWatch, X-Ray, Datadog, etc.) Travel and Other Information: • For candidates local to the San Francisco Bay Area, the ability to commute to our office on Market Street in San Francisco at least 2-3 days/week, • Ability to travel to Arine's San Francisco office at least twice per year Remote Work Requirements: • An established private work area that ensures information privacy, • A stable high-speed internet connection for remote work, • This role is remote, but you will be required to come to on-site meetings multiple times per year. This may be in the interview process, onboarding, and team meetings Perks: Joining Arine offers you a dynamic role and the opportunity to contribute to the company's growth and shape its future. You'll have unparalleled learning and growth prospects, collaborating closely with experienced Clinicians, Engineers, Software Architects, and Digital Health Entrepreneurs. The posted range represents the expected salary for this position and does not include any other potential components of the compensation package, benefits, and perks. Ultimately, the final pay decision will consider factors such as your experience, job level, location, and other relevant job-related criteria. The salary range for this position is: $150,000-170,000/year. Job Requirements: • Ability to pass a background check, • Must live in and be eligible to work in the United States Information Security Roles and Responsibilities: All staff at Arine are expected to be part of its Information Security Management Program and undergo periodic training on Information Security Awareness and HIPAA guidelines. Each user is responsible to maintain a secure working environment and follow all policies and procedures. Upon hire, each person is assigned and must complete trainings before access is granted for their specific role within Arine. Arine is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace where all employees are treated with fairness and respect. We do not discriminate on the basis of race, ethnicity, color, religion, gender, sexual orientation, age, disability, or any other legally protected status. Our hiring decisions and employment practices are based solely on qualifications, merit, and business needs. We encourage individuals from all backgrounds to apply and join us in our mission. Check our website at . This is a unique opportunity to join a growing start-up revolutionizing the healthcare industry! Job Offers: Arine uses the arine.io domain and email addresses for all official communications. If you received communication from any other domain, please consider it spam. Note to Recruitment Agencies: We appreciate your interest in finding talent for Arine, but please be advised that we do not accept unsolicited resumes from recruitment agencies. All resumes submitted to Arine without a prior written agreement in place will be considered property of Arine, and no fee will be paid in the event of a hire. Thank you for your understanding.

Daymark Solutions is an experienced technology integration and solutions provider that helps organizations effectively architect, implement, and deploy customized solutions using best of breed technologies. Specializing in cloud solutions and datacenter technologies, Daymark’s unique combination of in-depth technical knowledge, extensive experience, and proven methodologies enable our customers to successfully address even the most difficult business and technology challenges. The Role We’re looking for an M365 Architect who thrives on solving real business challenges and shaping how modern workplaces operate. As a senior member of our Professional Services team in the Modern Work practice, you’ll lead high-impact discovery and pre-sales engagements—partnering with clients to uncover their needs, define the right solutions, and clearly articulate the value behind them. You don’t just design solutions; you influence decisions. This role is a true blend of pre-sales (50%) and post-sales (50%) consulting, giving you full ownership from the first conversation through successful delivery. You’ll architect, scope, and implement Microsoft 365 solutions while serving as a trusted advisor every step of the way, guiding clients through complex decisions and ensuring outcomes that are both technically sound and business-driven. Responsibilities • Lead technical discovery and pre-sales engagements, translating customer business needs into solution architectures, scope definitions, and compelling value propositions in partnership with the sales team., • Design, configure, and implement cloud and technology solutions while delivering documentation and knowledge transfer to customer stakeholders., • Serve as a trusted advisor throughout the project lifecycle, driving successful deployments, resolving complex technical challenges, and ensuring customer satisfaction and adoption goals are met., • Advise customers on best practices, whether with industry standards or your own recommendations, around Microsoft 365 including tenant configuration, security, integrations, endpoint management, data governance, and Artificial Intelligence., • Contribute to expanding our Microsoft partnership & Modern Work practice through growth in CSP and Professional Services revenue, the development of new technical skills & focus areas, and building relationships with key Microsoft resources., • Participate in knowledge exchanges with coworkers, regularly sharing and receiving knowledge to enhance our Microsoft 365 services, including best practices, implementation strategies, complex architectures., • Collaborate with team members to define and implement/document standards and methodologies for Professional Services engagements. Experience with the Microsoft Partner ecosystem including Solution Partner designations, Advanced Specializations, and how to achieve them. Insight into Microsoft programs and customer funding mechanisms including ECIF. Knowledge and experience with many of the following technologies as possible: * Core Microsoft 365 services including Exchange Online, SharePoint Online, Entra ID Microsoft Teams, and OneDrive for Business. * Microsoft 365 GCC High in support of regulated environments specifically the Defense Industrial Base. * Installation, configuration, and optimization of Entra ID Connect in large complex AD environments. * Microsoft Purview, including Information Protection and Rights Management. * Microsoft Intune for Mobile and Windows Autopilot, app deployment, device lifecycle, configuration profiles. * Microsoft Defender Suite, including Defender for Endpoint, Defender for Cloud Apps, and Defender for Identity. * Microsoft 365 Copilot and Copilot Studio. * Power Platform, including Power Automate and Copilot Agents. * Azure Virtual Desktop and Windows 365 Endpoint management. * Quest On Demand Migration tools and/or 3rd party migration solutions. Microsoft Certifications or the ability to achieve them during the first 6-12 months: * Microsoft 365 Certified: Administrator Expert (MS-102) * Cybersecurity Architect Expert (SC-100) * Security Operations Analyst Associate (SC-200) * Identity and Access Administrator Associate (SC-300) * Information Protection Administrator Associate (SC-401) * Azure Administrator Associate (AZ-104) Additional Requirements • A business and technology mindset that can identify ways to grow our org and expand our capabilities., • Proven experience in identifying business challenges and requirements, building and delivering compelling presentations, crafting detailed statements of work, and clearly and concisely conveying solutions to both engineers and C-suite stakeholders., • The ability to lead multiple pre-sales engagements simultaneously and identify ways to drive repeatability and innovation within the team., • Strong organizational skills and the ability to own customer engagements end-to-end, including pre-sales architecture and design, scope and license planning, solution implementation, project management, communication, and documentation., • Strong written and verbal communication skills and the ability to clearly articulate both business and technology topics., • Excellent problem-solving and troubleshooting skills including the ability to manage communications internally and with the customer during challenging situations., • Relationships with Microsoft Sales, Technical Specialists, Product Managers, Program Managers, MVPs., • Deep experience with Cybersecurity Maturity Model Certification (CMMC) 2.0, • Deep knowledge of developing advanced PowerShell scripts for automating critical tasks during implementations, migrations and assessments., • The ability to help develop and refine our growing Data & AI practice leveraging your experience with Microsoft Fabric, Microsoft Foundry, Dataverse, and/or Copilot Studio including currently holding or the ability to achieve the following certifications: Azure AI Engineer Associate (AI-102), Azure Data Scientist Associate (DP-100), Azure Data Engineer Associate (DP-203), and/or Azure Database Administrator Associate (DP-300)., • The ability to help build and grow our Microsoft Power Platform practice including currently holding or the ability to achieve any of the following certifications: Power Platform Functional Consultant Associate (PL-200), Power BI Data Analyst Associate (PL-300), Power Platform Developer Associate (PL-400), Power Automate RPA Developer Associate (PL-500), and/or Power Platform Solution Architect Expert (PL-600)., • Any experience with 3rd party solutions that integrate with Microsoft 365 environments including but not limited to Varonis, Okta, Mimecast, Proofpoint, Druva and/or AvePoint. Full-time, permanent role * Base Salary: $200,000 annually (up to $230,000 in On-Target Earnings) * Comprehensive employee benefits plan * Fully remote work

At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 450 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together? At PrizePicks, we are changing the game in daily fantasy sports. We are a passionate team of innovators dedicated to creating a best-in-class experience for our members. Our engineering team builds and scales the platform that powers our explosive growth, from real-time contest engines to the services that handle millions of daily transactions. We are looking for a Senior Software Engineer to join our Social Experience team and help us continue to build the future of fantasy sports. We are seeking an experienced Senior Software Engineer with deep expertise in Ruby on Rails to join our Social Experience team. In this role, you will design, build, and own critical Rails-based backend services that power PrizePicks’ core platform — including social feeds and profiles. You will tackle high-scope, complex technical problems, define the technical path from product idea to production, and mentor engineers across your team and the organization. This is a role for someone who thrives on solving hard backend problems and wants to have a direct impact on a product used by millions. • Design and build backend services: Architect and implement Rails-based services that are performant, scalable, and reliable, supporting high-throughput workloads and complex business logic., • Own technical delivery: Lead the technical design and implementation of complex features end-to-end — from product requirements through deployment and monitoring., • Drive system reliability: Diagnose and resolve performance bottlenecks, optimize database queries, and improve the resilience of backend systems under load., • Define technical direction: Propose and drive architectural decisions for your team’s services, evaluating tradeoffs and communicating recommendations clearly., • Mentor and elevate: Provide hands-on mentorship to Software Engineers I, II, and III on your team and in the organization through code reviews, pairing, and technical guidance., • Improve engineering practices: Define, advocate for, and improve best practices around code quality, testing, observability, and deployment for your team., • Collaborate cross-functionally: Work closely with Product Managers, Designers, QA, and other engineering teams to translate product goals into well-scoped technical solutions., • Participate in on-call rotation: Share responsibility for production incidents, contributing to root cause analysis and long-term reliability improvements. Experience: • 5–8 years of professional software engineering experience, with significant time building production Ruby on Rails applications, • Proven track record of owning and delivering complex, multi-component features in a team environment, • Experience designing and operating backend systems that handle significant scale and complexity Technical Skills: • Expert-level Ruby on Rails proficiency — you understand the framework deeply, write idiomatic Ruby, and know when to leverage or work around Rails conventions, • Strong proficiency with PostgreSQL, including schema design, query optimization, and performance tuning at scale, • Solid understanding of API design — RESTful services, serialization strategies, and versioning, • Experience with background job processing (Sidekiq or similar) and asynchronous workflows, • Experience with containerization (Docker) and orchestration (Kubernetes), • Familiarity with CI/CD pipelines and deployment automation, • Understanding of observability practices — logging, metrics, tracing, • Working knowledge of Go — our backend includes significant Go services, and cross-stack capability is valued at this level Working Style: • Comfortable working autonomously with minimal direction on ambiguous problems, • Effective communicator who can articulate technical decisions to both engineers and non-technical stakeholders, • Experience working in a fully remote engineering organization, • Able to context-switch between deep technical work and collaborative planning, • Experience leveraging AI-assisted development tools across the development lifecycle — coding, planning, scoping, and code review, • Experience integrating AI tooling into engineering workflows to accelerate team productivity, • Experience building social or relationship-driven systems (feeds, follows, reactions, activity streams, recommendation engine), • Experience designing stat-driven profile systems (aggregations, rollups, derived metrics) at scale, • Experience building social systems that are designed for rapid experimentation (feature flags, ranking experiments, growth loops), • Deep understanding of graph-shaped data modeling and fan-out patterns, • Demonstrated ability to influence technical direction horizontally across teams to ensure cohesive social experiences Where you’ll live: • This a remote position anywhere in the US is fine. #LI-REMOTE The typical salary range for this position is $170,000 to $185,000 At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process. This application period will remain open for 30 days. We’re committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting. Date Posted: March 02, 2026 First Extension: April 2, 2026 Second Extension: May 2, 2026 In addition to your great compensation package, full-time employees will be eligible for the following perks: • Company-subsidized medical, dental, & vision plans, • 401(k) plan with company match, • Annual bonus, • Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!), • Generous paid leave programs, including 16-week paid parental leave and disability benefits, • Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked, • Company-wide in-person events and team outings, • Lifestyle enhancement program, • Company equipment provided (Windows & Mac options), • Annual performance reviews with opportunities for growth and career development You must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. PrizePicks is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

WHO WE ARE ActBlue is a nonprofit organization dedicated to creating cutting-edge technology that fuels Democratic victories and enables progressive causes to thrive. Our vision is simple: building change through the power of people. Since our founding, we’ve been building innovative solutions to revolutionize grassroots fundraising – if you’ve donated to a Democratic campaign or a progressive organization online, you’ve probably used our platform! We believe in empowering small-dollar donors by helping thousands of groups — from local candidates to national movements — mobilize their communities and create a lasting impact. Every member of our team is deeply committed to advancing our shared mission and core values. Together, we are shaping the future of democracy. THE OPPORTUNITY ActBlue Technical Services is seeking a Senior Software Engineer I to join our Payments team and help build the technology that powers ActBlue's significant daily transaction volume. The Payments Team's critical areas include payment processing, recurring contributions, fraud mitigation, and internal tools that help teams within ActBlue with their payment-related workflows. Senior Software Engineer Is work in concert with product teams, platform teams, ops teams, and the security team. As a member of the Payments team, you will provide technical leadership in architecting and scaling our payments infrastructure while contributing to our inclusive environment and fostering a culture that brings out the best in yourself and your colleagues. WHAT YOU WILL DO • Architect, refactor, and enhance payments systems to ensure secure, scalable, and reliable feature delivery across the payment life cycle from initial authorization to payout., • Provide technical leadership and vision in developing, testing, monitoring, and rolling out the next generation of our payments system., • Guide the design and execution of high-impact technical solutions while balancing effort, scope, and trade-offs specific to payment processing challenges., • Recommend system-level improvements to address security, scalability, and reliability concerns in our payments infrastructure., • Act as a go-to consultant for guidance on payment-related system issues and complex transaction scenarios., • Lead the execution of large projects involving multiple engineers, complex requirements, and high ambiguity., • Break down initiative-level work into multiple epics and contribute technical expertise to team roadmap prioritization., • Consistently debug the toughest issues throughout the stack, regardless of the environment, identifying root causes or viable workarounds., • Design frameworks to foster a culture of defensive testing within Engineering, particularly around payment processing workflows., • Collaboratively design and champion best practices and design patterns to improve platform maintainability., • Demonstrate technical leadership through writing documentation, establishing effective monitoring, and fostering clear communication., • Set the standard for software quality through maintainable code that adapts to future design and roadmap decisions., • Coach and mentor other engineers, creating spaces where individuals feel engaged, valued, and heard., • Engage with your manager as a thought partner on core work and personal development to increase your impact on the team and the organization., • May support supplementary projects as assigned, ensuring timely and efficient completion in line with organizational objectives and standards. WHAT YOU BRING • 3-5+ years or equivalent of professional experience working with teams and delivering projects., • Significant experience with server-side web application development, preferably with Ruby on Rails., • 3+ years or equivalent experience with developing payment systems (ie. Stripe, Paypal, Checkout, Sift), • Experience leading the execution of large projects involving multiple engineers, complex requirements, and high ambiguity., • A track record of effective collaboration with other engineers to develop abstractions and patterns that make it easy to build reliable software., • An aptitude for reasoning about and troubleshooting complex systems., • Proficiency in relational databases, preferably Postgres., • Understanding of performance, scalability, and security concerns, particularly as they relate to payment processing., • Eagerness to explore and refactor legacy code., • A team player mentality. You keep the end user in mind and enjoy hearing feedback from your teammates, yet know when and how to defend your own ideas in a respectful manner., • Comfort collaborating with a distributed team of many remote colleagues., • An inclusive, generous working style: You like to mentor, collaborate, and elevate your team by supporting your peers., • Excitement for the learning and growth of yourself and your teammates., • Proactiveness, communication skills, and the ability to learn quickly. WORK & BENEFITS SNAPSHOT This posting is for a full-time, remote, salaried position. Travel may be required on a limited basis to attend all-staff and departmental retreats (2-4 times per year). Additional travel may be required for select positions. Registered States*: Arizona, California, Colorado, Connecticut, Florida, Georgia, Hawaii, Illinois, Indiana, Iowa, Kentucky, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Montana, Nebraska, New Hampshire, New Jersey, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, Washington, Wisconsin, Wyoming, and Washington D.C. *While ActBlue is currently registered to support remote work in the states listed above, we possess the ability to register in additional states as needed. If you are located in a state not listed, we may still be able to proceed with your application, but please note that the offer process may take longer to accommodate registration requirements. Work Schedule: This role requires availability during established, regular business hours (Mon-Fri) and is expected to be a part of an on-call rotation which will result in working nontraditional hours as needed. Work Environment: Employees can expect to work with distributed teams across all U.S. time zones. Our roles require extended technology usage, and proficiency with virtual communication tools such as Zoom and Slack. Regular attendance in virtual meetings is inherent to every position. Salary Range Details: Salary Range: $157,791 - $170,499 - $183,207 ActBlue is committed to consistent compensation practices across our organization. Final salary offers will take into account factors such as candidate experience, interview performance and current team salary parity. Benefits: • Flexible work schedules and an unlimited time-off policy, • Fully paid and trans-inclusive health, dental, and vision insurance for employees and their families; plus fully-paid health reimbursement arrangement to use for out of pocket expenses and fully-paid short- and long-term disability, • Fully paid basic and AD&D life insurance and a voluntary supplemental life insurance option, • Dependent and health care flexible spending account options, • Employee Assistance Program (EAP) benefits for employees, • Automatic 2% Employer-paid 401K contribution, plus up to an additional 6% match on employee contributions, • A minimum of three months paid medical, family and parental leave (for all new parents, adoptions included), • Commuter or home-office benefits, including a $1,000 home-office setup allowance for all new full-time remote employees, • Additional perks including quarterly snack deliveries and digital subscriptions to the Boston Globe & New York Times ActBlue is unable to sponsor work visas at this time. UNION INFORMATION The terms and conditions of this position are subject to a collective bargaining agreement with the Communications Workers of America, the exclusive bargaining agent of covered ActBlue employees. BACKGROUND CHECKS As part of our hiring process, ActBlue will conduct a background check at the time of offer. This will be completed in compliance with applicable laws and will not be initiated without your consent. INCLUSION STATEMENT FROM ACTBLUE ActBlue is committed to equal employment opportunities and fostering a diverse, inclusive workplace. We celebrate unique perspectives, honor the dignity of all individuals, and recognize that diverse backgrounds and identities strengthen our mission. If you’re passionate about our work and see yourself in this role, we encourage you to apply—even if you don’t meet every requirement. We also provide reasonable accommodations for individuals with disabilities throughout the hiring process and employment. To request an accommodation, email ___. *ActBlue will never ask candidates to buy equipment, nor will we email from anything other than an ___ or ___ email address.

About Atria Atria is a membership-based preventive health care practice delivering cutting-edge primary and specialty care in New York, South Florida, Los Angeles (2026), and through 24/7 telemedicine globally. Our multi-specialty team of 60+ top in-house physicians provides proactive, preventive, and precision-based care for Atria members and their families. We aim to optimize lifespan and healthspan through meticulous screening, leading-edge therapeutics, and tailored interventions designed to prevent disease and detect it at the earliest possible stages. Each member's care is led by a dedicated Chief Medical Officer who collaborates with specialists in cardiology, neurology, pediatrics, women's health, endocrinology, integrative health, performance and movement, nutrition, and more. Through our nonprofit Atria Research Institute and Public Health Institute, we also work to accelerate the translation of medical breakthroughs and expand access to preventive care for as many people as possible. Atria Health is seeking a Software Engineer (Product) to help design, build, and scale the systems that power our member and clinical experiences. This is an individual contributor role focused on: • Building high-quality product features across our stack (web, mobile, backend), • Owning projects end to end, from design to launch and iteration, • Languages: TypeScript, • Backend: Node, Express, • Frontend: React, • Infrastructure: Google Cloud Platform, Terraform, • Database: MySQL, • Tooling & Integrations: Github, Sentry, Okta, Mixpanel, Omni, third-party APIs, • Collaborate with product managers, designers, and clinicians to turn product requirements into clear technical plans., • Own end-to-end delivery of features and services: design, implementation, testing, rollout, and iteration., • Design and implement APIs, data models, and integrations supporting your core domain (member journeys, clinical workflows, care coordination), • Contribute to evolving our architecture so teams can build new experiences quickly without re-inventing the wheel., • Build with reliability and performance in mind: help define graceful failure modes, timeouts, and efficient queries., • Participate in design reviews and RFCs, bringing a pragmatic, product-focused perspective., • Write well-tested code with meaningful unit tests and integration tests,, • Instrument features with high-quality analytics in Mixpanel, using consistent events and properties across products., • Help maintain dashboards and alerts that reflect real user outcomes, • Contribute to and uphold engineering standards: coding conventions, design patterns, documentation practices., • Give thoughtful and constructive code reviews, • ~4+ years of professional software engineering experience building product experiences in production environments., • Track record of owning and shipping features or projects in a modern web stack., • Experience collaborating closely with product and design on user-facing features., • Comfortable working in evolving domains and complex making tradeoffs., • Strong full-stack skills: you can design an API and schema, implement backend logic, and build the UI that consumes it., • Proficiency with TypeScript and at least one modern frontend framework (ideally React)., • Experience with at least one cloud provider and infrastructure-as-code (e.g., Terraform)., • Solid instincts for systems design basics: reliability, performance, and security, • Comfortable debugging across the stack: logs, traces, metrics, and data., • Take ownership of your work end to end and follow through on details., • Communicate clearly in writing and in meetings, tailored to your audience., • Comfortable working with clinicians, operations, and other non-technical partners., • Open to feedback and invested in helping the team continuously improve., • Experience in healthcare, digital health, or other regulated domains (HIPAA, PHI, SOC 2, etc.). $125,000–$240,000 depending on location At Atria, we are proud to offer every member of the Atria team: • Excellent health and wellness benefits, 100% paid by Atria effective date of hire, • OneMedical membership for employees & dependents giving access to 24/7 virtual care, • Fertility & family planning, • Company-covered preventive health screenings through partner hospitals (Calcium score), • Fitness Perks including Wellhub +, • 401k contributions and 4% match starting after 6 months, • Flexible Time Off, • Continuing medical education (CME) and CEU support for professional licensure, • Time to give back and make an impact in underserved communities

At MyFitnessPal, we believe good health starts with what you eat. We provide tools, resources and support to enable users to reach their health goals. We are looking for a Software Engineer III, iOS to join the MyFitnessPal TOTS team. Our users rely on the MyFitnessPal iOS app to power their health and fitness journeys every day. As a member of our MyFitnessPal Engineering team, you’ll have the opportunity to positively impact those users with your expertise in the iOS development ecosystem. In addition to technical expertise, you’ll find that your teammates value collaboration, mentorship, and inclusive environments. About the Team: The TOTS Team is a highly visible and impactful team at MyFitnessPal that operates the core of our business’s revenue engine. This cross-functional team (iOS, Backend, Web Engineering, and many partner teammates and stakeholders) is responsible for handling all aspects of Premium subscriptions, including subscription management, data analysis, Premium upsells, and the development of exclusive Premium features. Impact: The TOTS Team plays a crucial role in driving MyFitnessPal’s revenue growth and sustainability. By focusing on the core elements of subscription management, this team ensures that our Premium services remain a key contributor to our continued business success. • Work closely with our creative design and user interface team to implement native mobile interfaces according to the iOS Human Interface Guidelines, • Continually improve the user experience by analyzing and optimizing UI, data storage, and network communications, • Independently build and deliver high quality features and improvements, • Research and implement high-quality technical solutions to attain business goals that will benefit our continually growing user base, • Provide thought leadership on industry best practices around design, testing, security, and deployment, • Work closely with your cross-functional product engineering team to solve problems, • Turn big ideas into simple, elegant solutions, • 4+ years of relevant work experience, • Applicable experience building applications in Objective-C and Swift for the iOS platform within an Agile environment, • Experience writing unit tests and testable code, • Experience with multithreaded programming, • Comfort working with RESTful APIs, • Substantial experience with Git in a team environment, • Experience working with a relational database, • Past usage of at least one package manager, • Some experience with CI/CD, • Enjoy working in a collaborative team environment, • Excellent communication skills, • Excited about the opportunity to mentor junior developers, • Demonstrate kindness and empathy Bonus Points: • Experience with payments infrastructure or AppStore Connect., • Exposure to XP, Pair Programming, Mob Programming or other highly collaborative working styles., • Experience with Test Driven Development (TDD), Behavior Driven Development (BDD) or other practices focussed on building self verifying code., • Experience migrating a large legacy codebase to modern standards., • Experience migrating from Objective-C to Swift. Values you’ll model • Be Kind and Care — build with empathy; assume positive intent; support teammates and members., • Live Good Health — champion healthy habits and balance in how we work and what we ship., • Be Data-Inspired — ground decisions in research and data; measure what matters., • Champion Change — lean into ambiguity; iterate, learn, and improve continuously., • Leave it Better than You Found It — raise quality, clarify systems, and document as you go., • Make It Happen — bias to action; deliver impact with craft and accountability. The reasonably estimated salary for this role at MyFitnessPal ranges from $135,000 - $160,000. Actual compensation is based on factors such as the candidate’s skills, qualifications, and experience. In addition, MyFitnessPal offers a wide range of comprehensive and inclusive employee benefits for this role including healthcare, parental planning, mental health benefits, annual performance bonus, a 401(k) plan and match, responsible time off, monthly wellness and technology allowances, and others. Face-to-Face Connections: We value personal connections. Enjoy opportunities to meet and connect with your team members in person to help forge meaningful relationships that extend beyond the virtual realm. Teams meet as often as needed and all of MyFitnessPal gathers annually. Flexibility At Its Best: Achieve the work-life balance you deserve. Enjoy a flexible time-off policy with our Responsible Time Off benefit. Give Back: Use your volunteer days off to support what matters most to you. Each full time teammate receives 2 days per calendar year to give back to their community through service. Mentorship Program: Take control of your career through our mentorship program where, if you’d like, you will be matched with a teammate who can help you scale your skills and propel your growth. Family-Friendly Support: Embrace the journey with confidence and care. Enjoy our paid maternity and paternity leave, to provide time to balance family responsibilities with your career and take the time needed to strengthen family relationships. We understand the complexities of starting or expanding a family, which is why we provide best-in-class comprehensive assistance for fertility-related matters. Wellness Comes First: Live Good Health is one of our core values. Receive a monthly Wellness Allowance, empowering you to focus on your physical and mental well-being by choosing from a range of wellness initiatives, including dedicated mental health days. Celebrate Greatness: Your hard work deserves recognition! Our reward and recognition platform empowers peers to acknowledge and reward each other for the exceptional contributions they make. Elevate Your Health & Fitness: Get access to MyFitnessPal Premium, allowing you to take your fitness, health and wellness journey to new heights. Unlock Your Potential: Access our virtual learning and development library, and participate in training opportunities to continuously grow and enhance your skills. Championing Inclusion: Our dedicated DEI Committee actively fosters a diverse and inclusive workplace by setting actionable goals and evaluating progress across the organization. Healthcare Matters: Your well-being is our priority. Take advantage of our competitive medical, dental, and vision benefits that cater to your holistic healthcare needs. Feel secure and supported on your wellness journey. Secure Your Future: Benefit from our retirement savings program, giving you peace of mind for your financial goals. Reach them sooner with MyFitnessPal’s competitive employer match. At MyFitnessPal, our mission is to enable people to make healthy choices. And it wouldn't be possible without our team. We celebrate the unique POV that each person brings to the table and believe in a collaborative and inclusive environment. As an equal opportunity employer, we prohibit any unlawful discrimination on the basis of race, religion, military or veteran status, sex, gender, marital status, gender identity or expression, sexual orientation, national origin, age, or disability. These are our guiding ideologies and apply across all aspects of employment. MyFitnessPal participates in E-Verify.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Location: Remote Position Summary: Join our Scalability team as a Senior Scalability Engineer focused on streaming andrealtimesystems. In this role, you will own the architecture and expansion of our streaming data infrastructure, including WAL-based database replication, change data capture (CDC) systems, andrealtimeevent processing. Your work will handle systems processing hundreds of thousands to millions of records per batch whilemaintainingstrict ordering guarantees andexactly-oncesemantics. Working closely with our clients and cross-functional teams,you'llbuild foundational streaming infrastructure while partnering directly with product teams to implementrealtimecapabilities that power critical business workflows. Position Responsibilities: In this role,you'llprovide technical leadership while delivering hands-on solutions for high-impact performance challenges. You will: • Own streaminginfrastructure: Design, implement, and expand WAL-based replication systems that process database changes through Kinesis to Snowflake and Redshift, handling millions of records whilemaintainingstrict ordering and delivery guarantees., • Build CDC systems: Architect and implement change data capture infrastructure for cross-platform data synchronization, enabling realtime analytics and event-driven workflows across the organization., • Develop shared libraries: Create reusable Kinesis/SNS consumer patterns and libraries used across multiple teams, establishing best practices for event processing, error handling, and observability., • Partner with product teams: Work directly with teams to design and implement realtime data processing solutions tailored to their business needs, providing technical guidance and hands-on support., • Ensure data reliability: Implement exactly-once processing semantics, dead letter queues, retry strategies, and monitoring to guarantee data integrity across streaming pipelines., • Build observability: Develop monitoring, alerting, and dashboards for streaming pipelines to track throughput, lag, data quality issues, and system health using the LGTM stack., • Demonstrate technical leadership: Mentor engineers on streaming architecture patterns, lead design reviews for event-driven systems, and represent the Scalability team in cross-functional planning., • Make strong architectural choices through careful evaluation and prior experience with distributed systems., • 10+ years of software engineering experience withdemonstratedprogression into technical leadership roles., • 3+ years of experience leading technical initiatives, architecting distributed systems, or serving as a subject matter expert on streaming infrastructure., • Strong expertise in Python (Flask/SQLAlchemy) for production applications., • Deep PostgreSQL knowledge: Understanding of write-ahead logs, replication, logical decoding, and change data capture mechanisms., • Production streaming experience: Proven track record building and operating high-throughput streaming systems using Kinesis, Kafka, or similar event streaming platforms., • Distributed systems expertise: Strong understanding of ordering guarantees, exactly-once semantics, partition strategies, backpressure handling, and fault tolerance patterns., • AWS experience: Production experience with Kinesis, S3, SNS/SQS, Lambda, ECS, and data pipeline orchestration., • Data warehouse knowledge: Experience loading data into Redshift, Snowflake, or similar analytical databases., • Systems thinking: Ability to design resilient, observable streaming architectures that balance throughput, latency, and reliability., • Rust development experience or strong interest in learning Rust for high-performance systems., • Infrastructure as code: Experience with Terraform or similar IaC tools for managing cloud infrastructure., • Observability tools: Hands-on experience with Grafana, Prometheus, Loki, or similar monitoring/alerting platforms., • Event-driven architectures: Background designing event sourcing, CQRS, or other event-driven patterns. Nothing in this position description restricts management's right to assign or reassign duties and responsibilities to this job at any time. This range represents the low and high end of the anticipated base salary range. The actual base salary will depend on several factors such as: experience, knowledge, skills, and location of the job. Remote, US Salary Range$110,400—$213,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

Scale AI's Public Sector business is growing quickly as government agencies adopt AI to support critical national security, defense, and public sector missions. We're looking for a hands-on Field Engineering Manager on the front lines leading a team of our field engineering efforts for our federal AI projects, having the opportunity to meaningfully impact millions of dollars in revenue by working closely with our largest public sector customers and ensuring that they become passionate, lifelong Scale customers. This role is ideal for someone who thrives in technical environments, enjoys managing teams while staying close to the code, and wants to work on meaningful problems that impact real world operations across the U.S. government. Field Engineers are software engineering generalists who enjoy working with clients directly, taking ambiguous requirements and issues, and quickly designing and building production-grade solutions in close collaboration with the Product, Engineering, and Delivery teams. Field Engineers are experts on Scale's products and codebase, and have general technical knowledge on GenAI systems, APIs, networking, and data engineering. Field Engineers are strong relationship builders, great project managers, and always fun to work with. You'll play a critical role in delivering technical solutions-all while helping your team grow and execute. You'll split your time between technical planning and execution (50%) and people management and team development (50%), leading a team of 6-8 engineers. You'll work cross-functionally with product, engineering, security, and delivery teams to ensure our engineering efforts meet complex federal compliance, security, and performance needs. Day to day: • 50% Field engineering - customer engagement, technical development and delivery, • Recruit a high-performing engineering team., • Drive engineering productivity. Provide guidance, mentorship, and technical leadership to a team of customer facing engineers working on Generative AI projects., • Collaborating with cross-functional teams to define, design, and execute strategic roadmap based on customer needs., • Work directly with customers to understand their problems and translate those into custom workflows within Scale's platform., • Be open to ~25% travel or relocation to a key customer geographic location., • Collaborate with cross-functional teams to define the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments., • Implement end-to-end data integrations, syncing customer's data to Scale's platform and back., • Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions., • Lead end-to-end technical delivery of custom workflows from scoping to development to testing to implementation, • 5+ years of full-time engineering experience, post-graduation., • 2+ years of prior engineering management or equivalent experience and previously managed an engineering team., • Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles., • Prior experience developing with Python and JavaScript, or other modern software languages., • Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus., • Linux experience: Understanding of shell scripting, operating systems, etc., • Networking experience: Understanding of networking technologies, configuration (ports, protocols, etc) is a plus., • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles., • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles., • Understand unique DoD and USG constraints when it comes to technology. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$273,700—$341,550 USD Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$238,050—$297,850 USDPlease reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of Washington DC, Texas, Colorado, Hawaii is:$213,900—$267,950 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Position Summary: Join our mission to transform pharmacy benefits and healthcare navigation as a Senior Data Engineer (Analytics Engineer). You will build and maintain reliable data models within Snowflake with dbt, and improve data quality and observability. Partner with analysts, data scientists, and software engineers to deliver trusted, well-documented datasets that power analytics and products. Position Responsibilities: • Build, test, and document Snowflake data models and business logic in dbt, • Apply and improve data quality, testing, observability, and lineage standards, • Collaborate with cross-functional partners to define data contracts and interfaces, • Contribute to Capital Rx's modular data platform and client-specific data configurations, • Participate in design reviews; propose scalable, maintainable patterns, • Monitor pipeline health, troubleshoot incidents, and drive root-cause fixes, • Optimize cost and performance of jobs, storage, and queries with guidance, • Write clear documentation and support knowledge sharing, • Adhere to the Capital Rx Code of Conduct, including reporting of noncompliance Preferred Qualifications: • 5+ years in data engineering, software engineering, or related field, • Strong SQL and Python; solid understanding of ETL/ELT and dimensional/data vault modeling, • Hands-on dbt experience (models, tests, documentation, deployments), • Experience with orchestration (Dagster or Airflow) and scheduling best practices, • Familiarity with Spark/Databricks and cloud data warehouses (Snowflake preferred), • CI/CD for data (Git-based workflows, environments), and basic IaC familiarity, • Data observability and testing (dbt tests, Great Expectations/Soda, lineage tools), • Understanding of security, governance, and privacy for PII/PHI (HIPAA awareness), • Effective communication and collaboration with technical and non-technical stakeholders, • Bonus if you have Exposure to healthcare data (claims, eligibility, provider directories), • Performance tuning in Snowflake (warehouse sizing, clustering, caching) Nothing in this position description restricts management's right to assign or reassign duties and responsibilities to this job at any time. About Capital Rx Capital Rx is a full-service pharmacy benefit manager (PBM) and pharmacy benefit administrator (PBA), advancing our nation's electronic healthcare infrastructure to improve drug price visibility and patient outcomes. As a Certified B Corp, Capital Rx is executing its mission through the deployment of JUDI, the company's cloud-native enterprise health platform, and a Single-Ledger Model, which increases visibility and reduces variability in drug prices. JUDI connects every aspect of the pharmacy ecosystem in one efficient, scalable platform, servicing millions of members for Medicare, Medicaid, and commercial plans. Together with its clients, Capital Rx is reimagining the administration of pharmacy benefits and rebuilding trust in healthcare. Capital Rx values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This range represents the low and high end of the anticipated base salary range. The actual base salary will depend on several factors such as: experience, knowledge, skills, and location of the job. Remote, US Salary Range$140,000—$160,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

Job details About Us: The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursueour missionat MSK and around the globe. Process Improvement Engineer - Transformation Management Office Exciting Opportunity at MSK:We are seeking a Process Improvement Engineer for the Transformation Management Office (TMO). We provide direction, oversight, and coordination of transformation initiatives across the enterprise. In this role, you will contribute to change management efforts by supporting collaborator engagement, communication, adoption, and transition to future state workflows. In addition, you will serve as a collaborative partner and internal advisor, bringing both technicalexpertiseand strong interpersonal skills to help teams navigate change effectively. Role Overview: * Support the delivery of enterprise-level programs and projects focused on process improvement, operational transformation, and organizational performance. * Partner with clinical, operational, and administrative collaborators to assess current state workflows,identifyimprovement opportunities, and support implementation of sustainable solutions. * Collaborate closely with TMO Process Engineers, Project Managers, Change Specialists, and Data Analysts to design, implement, and sustain enterprise-level improvement initiatives. * Apply process improvement, systems thinking, and project delivery principles to drive measurable improvements in quality, efficiency, service, safety, and capacity. * Facilitate current state assessments, future state development sessions, and structured problem-solving efforts involving multiple departments. * Use qualitative and quantitative methods toidentifyroot causes, prioritize opportunities, and guide decision-making. * Develop process maps, analyze improvement recommendations, and implementation plans that support enterprise transformation goals. * Support progress of improvement initiatives by coordinating workstreams, tracking achievements, andmaintainingmomentum across partners. * Analyze operational and performance data toestablishbaselines, measure progress, and communicate results clearly to collaborators and leadership. Key Qualifications: * 2-5 years of experience in process improvement, industrial engineering, operational excellence, performance improvement, ora relatedfield, preferably in healthcare. * Experience analyzing workflows,identifyingprocess gaps, and recommending practical, data-informed improvements. * Foundational knowledge of process improvement methodologies such as Lean, Six Sigma, and related fields. * Experience with process mapping, root cause analysis, and performance measurement. * Strong analytical skills, including experience working with operational data, trends, and performance metrics. * Familiarity with data visualization and reporting tools (Tableau, Power BI) is a plus. Core Skills: * Demonstrated ability to assess, analyze, and redesign processes in a structured and practical manner. * Strong analytical and technical abilities, with the capacity to handle data, analyze trends, and communicate findings effectively. * Ability to develop clear, structured, and visually effective materials that communicate current state, future state, findings, recommendations, and results. * Ability to influence without direct authority and build trust across cross-functional teams. * Strong written and verbal communication abilities, including the capability to adaptmessagingfor various audiences. * Ability to balance technical rigor with strong judgment, emotional intelligence, and a customer-focused approach. * Ability to coach teams through change and support adoption of improved ways of working. * Experience working in unclear, changing environments with the ability to bring structure and clarity to complex problems. Additional Information: * Location: 633 Third Avenue, in midtown Manhattan. * Schedule: 9 am - 5 pm, Monday - Friday (hybrid), flexibility to be onsite as needed. * Reporting directly to the Lead Process Improvement Engineer, EPMO. Helpful Links: * * Pay Range: $124,000.00 - $204,700.00 FSLA Status: Exempt Closing: At MSK, we believe in fair, competitive pay that reflects your job, experience, and skills. MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision. Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

Department: Operations / Technology Reports To: Ownership / Executive Leadership Location: In Office - 5 Days a Week Position Summary We are seeking a forward-thinking and operationally focused AI Solutions Engineer to evaluate, design, and implement artificial intelligence tools and automation strategies across our organization. This role is not a traditional software engineering role focused solely on coding products. Instead, this individual will act as a strategic operational partner who analyzes day-to-day workflows, identifies inefficiencies, and develops AI-driven solutions that improve productivity, communication, reporting, compliance, and overall employee effectiveness. The ideal candidate understands both technology and business operations. They should be capable of sitting with departments, observing workflows, identifying repetitive or manual tasks, and recommending practical AI applications that create measurable efficiencies without disrupting operations. This role will work closely with leadership and employees across departments including property management, accounting, HR, operations, maintenance coordination, leasing, compliance, and administration. Operational AI Analysis & Workflow Optimization • Conduct detailed assessments of employee workflows, responsibilities, and operational processes across departments., • Identify repetitive, manual, administrative, or time-consuming tasks that can be streamlined using AI tools or automation., • Evaluate opportunities for AI-assisted efficiencies in property management operations, tenant communication, maintenance coordination, vendor management, payroll and HR administration, reporting and analytics, document management, leasing administration, compliance tracking, and internal communication workflows., • Create process maps and operational recommendations for leadership review., • Develop implementation plans that prioritize efficiency gains while minimizing operational disruption. AI Tool Development & Implementation • Research, evaluate, and implement AI platforms, automation systems, and workflow tools appropriate for the business., • Build and maintain AI-driven automations using platforms such as ChatGPT Enterprise, Microsoft Copilot, Zapier, Make.com, Power Automate, API integrations, and workflow automation systems., • Develop internal AI assistants, prompts, templates, and knowledge systems for employees and departments., • Partner with leadership to establish AI usage standards, governance, and best practices., • Ensure AI systems align with operational goals, compliance requirements, and data privacy standards. Cross-Department Collaboration • Meet with department leaders and employees to understand operational pain points and inefficiencies., • Translate non-technical business needs into scalable AI solutions., • Train staff on AI tools and promote organizational adoption., • Provide ongoing support and optimization for implemented systems., • Create user-friendly documentation and SOPs for AI-related workflows. Data, Reporting & Analytics • Develop AI-assisted reporting dashboards and operational insights., • Analyze operational data to identify trends, bottlenecks, and opportunities for improvement., • Assist leadership with forecasting, productivity metrics, and operational efficiency reporting., • Improve visibility into KPIs across departments through automation and AI-driven reporting. Property Management Specific Initiatives • Evaluate opportunities for AI-assisted resident communication and response management., • Improve maintenance ticket workflows and vendor coordination processes., • Assist with automating lease administration and document processing., • Identify operational efficiencies within multi-property management environments., • Support compliance tracking and audit preparation processes through intelligent workflow systems. Qualifications Required • Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, Business Technology, or related field preferred., • 3+ years of experience in AI implementation, automation engineering, business systems analysis, or operational technology roles., • Experience analyzing business operations and implementing workflow improvements., • Strong understanding of AI tools, automation platforms, and process optimization., • Experience working cross-functionally with non-technical teams., • Excellent communication and presentation skills., • Ability to explain technical concepts in a practical and understandable way., • Strong organizational and project management abilities. Preferred • Experience within property management, real estate, hospitality, construction, or operations-heavy industries., • Familiarity with HRIS, payroll, ERP, CRM, and property management systems., • Experience with API integrations and workflow automation., • Understanding of operational compliance and data privacy standards., • Experience implementing enterprise AI solutions within growing organizations. Key Competencies • Operational Thinking, • Process Improvement, • AI Strategy & Innovation, • Automation Design, • Business Analysis, • Change Management, • Cross-Functional Collaboration, • Problem Solving, • Systems Integration, • Communication & Training

Job Locations US-NJ | US-PA | US-DE | US-NY ID 2026-19201 Job Function Service & Support As one of the world's leading analytical instrumentation companies, Bruker covers a broad spectrum of advanced solutions in all fields of research and development. All our systems and instruments are designed to improve safety of products, accelerate time-to-market and support industries in successfully enhancing quality of life. We've been driving innovation in analytical instrumentation for 60 years now. Today, worldwide more than 10,000 employees are working on this permanent challenge, at over 90 locations on all continents. Please note this position that does require frequent travel within the region. We do require our Field Engineers to reside within the region. The specified region will be the states of VA, WV, MD, DE, NJ, PA, NY, CT, VT,MA, ME, and NH. New opportunity for a Field Service Engineer to install and support high technology equipment in research, pharmaceutical, university and government labs for Bruker BioSpin, a leading manufacturer of nuclear magnetic resonance (NMR), magnetic resonance imaging (MRI) and compact magnetic resonance (CMR) spectroscopy instruments and accessories. The Field Service Engineer works with highly complex equipment that requires advanced understanding of these instruments to perform installation, maintenance, troubleshooting, and repair service activities. Install new or modified systems or accessories at customer facilities and ensure full functionality according to specifications. • Provide on-site technical assistance to install, service, and repair equipment., • Familiarize and train customers for basic operation of the equipment., • Secure customer acceptance of installation and repair sign-off., • Re-qualify the entire instrument after service repair by running complex compounds for verification., • Serve as a supportive and effective communication link between the customer and company to ensure customer service satisfaction., • Actively attend and participate in life science technology and product training., • B.S. in Physics, Electrical Engineering, Electronics, Biotech, Biology or Chemistry discipline., • Minimum 3 years' work experience diagnosing and repairing complex mechanical, electromechanical and/or electronic equipment., • Knowledge of NMR and MRI, analog electronics, high voltage circuitry/circuits, cryogenics, and ultra-high vacuum technology is highly desirable., • Strong technical skills involving analytical instrumentation., • Excellent customer focus with ability to reliably respond to inquiries, communicate and interact with Scientists that possess a Ph.D. (or Master's Degree) in Biochemistry, Biophysics or Microbiology., • English fluency with strong oral, reading, written, MS Office, computer, technical data, and networking communication and presentation skills, with ability to communicate complex technical issues in an easy to understand manner., • Excellent organizational skills with ability to work independently, prioritize, multi-task, follow through, and meet deadlines within an entrepreneurial and customer-focused work environment., • Ability to satisfactorily complete position compliance and training requirements, • Attend and actively participate in quarterly scientific technical training programs, • Ability to lift up to 50 lbs., transport equipment and tools in excess of 300 lbs., • This position requires lifting heavy objects and maneuvering large bulky items (examples: tools, mechanical pumps, rigging equipment, power supplies, field mapper)., • This position requires reasonable dexterity to perform manual functions in confined spaces., • Proven ability to follow safety standards, practices, and codes., • Valid Driver License in good standing, issued by resident state, with reliable transportation., • U.S. Citizenship or U.S. Permanent Resident status required., • Maintain a valid passport with flexibility for domestic and international travel., • May be required to pass security clearance investigation. At Bruker, the base salary is part of our total compensation. The estimated base salary range for this full-time position is between $60,750 and $108,000 and provides an opportunity to progress as you grow and develop within a role. The base salary for the role will depend on several job-related factors, including, but not limited to, education, training, experience, the geographic location of the successful candidate, skills, competencies, job-related knowledge, and travel requirements for this position. Full-time employees may also be eligible for a performance-related incentive in addition to a full range of benefits, including 401(k) with company match, an employee stock purchase plan, medical and dental plans, life insurance, short-term and long-term disability insurance, employee assistance program and paid time off including vacation, sick time and holidays, and more. Bruker is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, and other protected characteristics. Certain positions at Bruker require compliance with export control laws and as a result, all interviewed candidates for all positions will be screened pre-interview to determine their eligibility in light of export control restrictions.

Description At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that provide them with an opportunity to thrive, professionally and personally. For us, helping you grow your career is good business. Leidos is seeking Distribution Engineers & Designers in New Jersey who are passionate about electric utility design engineering. We’re looking for someone who is dedicated to ensuring that every project, no matter how simple or complex, is of exceptional quality. You'll be working directly with clients to make sure that Leidos' reputation for high-quality work is always maintained. If you join us in this role, you'll gain expertise in a variety of areas, including NESC, Structural Pole Modeling, Electrical Power Calculations, GIS design training, Field Data Collection, and Client Design Standards. Your greatest work is ahead! Travel: This position has remote-working capabilities, but candidates must be located within a commutable distance of our New Jersey support areas in order to be considered, so we can provide support to our local utility customer as needed. The selected candidate(s) will be expected to be available for in-person meetings and assignments throughout the customer territory in New Jersey on an as-needed basis. As a Distribution Engineer / Designer, you can expect to: • Independently develop design and construction work packages for electrical overhead and underground distribution systems for Leidos electric utility customers, • Review work provided by Client and assess requirements of scopes., • Perform engineering calculations such as: structural analysis for wood pole loading, guying calculations, specifying conductor sags and tensions for recommended spans, and calculation of voltage drop and flicker., • Provide engineering support during construction, including post-construction reviews to ensure all applicable engineering and construction standards have been met., • Conduct root cause analysis of outages and mitigation using engineering principles and design, • Gain experience in coordinating conflicting utilities and other field engineering design requirements, assessing and developing large design packages for complex cable/conduit projects in dense urban environments, work permit development, easements, and ROW applications What Sets You Apart (Background Requirements): • 2+ years of prior relevant experience is required., • Bachelor's Degree (Electrical, Mechanical, Civil, or Industrial preferred); additional relevant experience/certifications may be considered in lieu of bachelor's degree, • Experience with the execution of distribution projects from kickoff through design approved, including Customer interaction and Process documentation, • Experience with utility reliability projects, • Ability to demonstrate proficiency with the NESC, • Ability to utilize a personal vehicle, as some customer-related travel could be anticipated (Job-related travel will be reimbursed at IRS-approved rates), • Willingness to perform both field and office work; Ability to work in outdoor environments on occasion; The role may require customer-site visits to collect field data that will assist in developing work packages, • Candidates should possess valid U.S. driver's license, as some local or regional travel is expected Nice to Haves: • Previous QAQC experience, • Experience providing estimated costs, development of a BOM, calculating the CIAC, • Experience with design tools such as Pole Foreman, O-Calc, Spida-Calc, • Experience with the Work Management System CREWS, • Relevant management or leadership experience Professional Attributes that will help you succeed in this role: • Strong communication skills, written and interpersonal communications skills and supporting of customer advocacy, • Collaborative and inclusive of individuals of diverse backgrounds and geographic locations, • Positive attitude, • Ability to work with limited supervision, • Professional dress and demeanor, • Attention to detail & Highly organized, • Excellent time management At Leidos, we pride ourselves on being a trusted and technology-focused solutions provider. Our Power Delivery Services Team is the go-to for utilities and mobile operators who need reliable power and telecommunication expertise. We've worked with over 50 investor-owned utilities, over 160 municipals/cooperatives, and we're continuing to expand our reach. Plus, we've got an amazing group of industry-leading construction partners who help us deliver meaningful Energy Delivery Solutions. Our recognition as an industry leader has been confirmed time and time again. Engineering News-Record (ENR) has ranked Leidos among the Top 10 T&D Firms and Top 10 Power Firms. As a valued team member, you can look forward to a fast paced, diverse work environment and flexible work hours/work arrangements, as well as managers who will encourage career development and growth opportunities, including Professional Engineer License (PE), Project Management Professional (PMP), Leadership training, Formal Mentorship Programs, Management opportunities. PDSDLINE PowerDelivery If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. Original Posting: March 27, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $59,150.00 - $106,925.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit ___. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ___. Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at ___. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the ___. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. #Remote

Job DescriptionHotel Engineer Now is your opportunity to become part of an extraordinary team. You bring your passion and hospitable personality and we’ll bring the good vibes. We are seeking an engaged and experienced General Mechanic (Hotel Engineer) to join our Engineering Team in providing exceptional customer service and exceptional experiences to our guests Responsibilities include, but are not limited to: * Ability to build ensure professional and informative interactions with all guests and staff members alike * Precisely and effectively complete all allocated work orders every day or report inadequate orders to the Director for rescheduling * Comply with Hotel processes to effectively perform all maintenance, installation, or repair as needed * Experienced with Painting, Spackle, Light plumbing and electrical * Ability to use ladders of different styles; complete work at elevated areas * Complete tasks on/around rooftop areas, chillers, water towers, etc. * Strong working knowledge of hand and power tools * Working in tight spaces * Ensure all hotel equipment is maintained and repaired as needed for full functionality * Follow the most recent state and government legislative codes, laws, and prerequisites * Identifying issues, creating or providing solutions, take actions to ensure that guest- related issues are resolved promptly once received, and provide the best possible outcome for guest satisfaction * Ensure daily before shift ends to fill out engineering reports to record all that was completed on your shift or pass-on information for the next shift * Ensuring all job requests from all areas of the hotel are responded to in a timely and effective manner. * Collaborate with different departments like carpenter, electricians, overnight engineers, painter’s, outsourced contractors in finalizing, changing, altering, remodeling, fixing any area of the Hotel * Follow all safety guidelines of a fire safety director in the case of an emergencies * Ensure FSD logbooks are always up to date with current activities of the hotel * In case of emergencies, communicate with the fire department and monitor fire command station * Make announcements to the building in case of false alarms, tests or real emergencies as a FSD * Ensure boiler cleaning logs are always up to date and cleaned as necessary according to boiler guidelines * Precisely record equipment readings, meter readings and keep up exact logs in a clear and legible way * Ensure that guest room preventative maintenance is done according to procedures set forth by the Chief engineer whether weekly, monthly, or quarterly * Ensure guest room and public area filters are changed frequently as instructed by the Director Job Requirements * Previous hotel engineering experience preferred * At least 2 years of Hotel Engineering experience, preferably in a New York City Hotel * Strong working knowledge mechanical systems, painting/spackling light plumbing and light electrical * Great communication skills, professional demeanor and appearance * Ability to prioritize work, meet deadlines, and concentrate on detail in a fast-paced work environment * Must be able to follow basic safety procedures and precautions due to physical risks * Demonstrates interpersonal and communication skills, both written and verbal * Able to work in a team environment and welcome feedback and direction * Capable of standing for prolonged periods of time * Ability to frequently reach, bend, stoop, climb up and down stairs, walk, and carry multiple objects * Flexible schedule to include day shift, night shift, weekends and holidays Preferred Qualifications * Local candidates only * U.S. Citizenship/Work Authorization required * 2-3 years of experience as an engineer working in the service industry * FSD Certification a plus * Verbal and Written communication skills * Be able to speak, write and understand the primary language of the workplace * Ability to lift, push or pull 50 pounds * Proficiency in MS Office and possess basic computer skills * Be able to work Flexible shift if needed Education: * High school or equivalent (Required) * 2 Year/ 4 Year Degree from an accredited College/University (Preferred) License/Certification: * Relevant Advanced trainings and certifications preferred * FSD certification Equal Employment Opportunity employer. We are committed to extending equal opportunity in employment to all qualified candidates who can contribute to the diversity and excellence of our organization. We encourage applications from all qualified individuals without regard to race, color, religion, genetic information, sexual orientation, gender and/or gender identity or expression, marital or parental status, national origin, ethnicity, citizenship status, veteran or military status, age, disability or any other basis protected by applicable local, state or federal laws. Hiring is contingent on eligibility to work in the United States.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Position Summary: We are seeking a highly motivated and talented Data Engineer I (Analytics Engineering) to help build and scale Capital Rx's analytics foundation. This role focuses on developing high-quality, analytics-ready datasets and a consistent metrics/semantic layer that power reporting, self-service BI, and operational insights. You will work heavily in dbt and Snowflake to design durable data models, define trusted business metrics, and ensure data quality through testing, documentation, and observability-partnering closely with operational, product, and analytics stakeholders to translate business questions into reusable data products that drive measurable outcomes. Position Responsibilities: • Partner closely with operational and analytics teams to translate business needs into analytics-ready data models, curated data marts, and reusable datasets., • Build and maintain dbt projects (staging intermediate marts), including model layering, macros, exposures, packages, and source freshness to accelerate delivery and improve reliability., • Design and evolve dimensional models (facts/dimensions, grain, SCD patterns) and analytics patterns aligned with key business domains., • Own metrics definitions end-to-end: establish KPI logic, naming standards, calculation rules, and governance; maintain a metrics/semantic layer so stakeholders use consistent definitions across tools and teams., • Implement robust data quality practices (dbt tests, constraints, anomaly checks/monitoring) to ensure reliable downstream reporting and decision-making., • Produce clear documentation and enablement assets (dbt docs, lineage, data dictionaries, metric definitions, onboarding guides) to support self-service analytics., • Optimize warehouse performance and cost in Snowflake through SQL tuning, incremental models, appropriate materializations, and efficient data design., • Use disciplined software engineering practices (Git-based workflows, peer review, CI checks, versioning, environment promotion) to deploy changes safely and repeatably., • Proactively identify and resolve data-related issues, ensuring system reliability and data integrity., • Provide ongoing support for critical analytics data products and participate in an on-call rotation as needed., • Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance. Required Qualifications: • Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent practical experience)., • Strong SQL skills and experience building analytics datasets in a modern cloud data warehouse (Snowflake preferred)., • Hands-on experience with dbt core (model development, tests, documentation, macros, deployments)., • Solid foundation in data modeling (dimensional/Kimball concepts, facts/dimensions, grain, slowly changing dimensions)., • Experience defining and managing metrics: translating business logic into consistent KPI definitions, documenting edge cases, and maintaining metric governance over time., • 1+ years of experience delivering production-grade analytics models/marts or BI-ready datasets (internships/co-ops may be considered depending on leveling)., • Ability to collaborate effectively with both technical and non-technical stakeholders; strong communication and documentation skills., • A self-motivated, detail-oriented individual with the ability to tackle and solve intricate technical challenges and deliver high-quality work. Preferred Qualifications: • Experience in healthcare, PBM, insurance, or other regulated data environments., • Deep familiarity with Snowflake and experience supporting multiple warehouses or databases as environments evolve (e.g., Redshift and/or Postgres)., • Familiarity with semantic/metrics layer patterns and practices (e.g., consistent metric definitions, metric governance, semantic modeling approaches) and enabling KPI consumption across BI tools., • Experience with CI/CD for analytics (automated tests, PR checks, environment promotion) and data observability/monitoring practices., • Working knowledge of Python for data tooling or analytics enablement (e.g., automation, validation checks), and comfort collaborating with orchestration/workflow tools when needed. This range represents the low and high end of the anticipated base salary range for the NY-based position. The actual base salary will depend on several factors such as experience, knowledge, and skills, and if the location of the job changes. Nothing in this position description restricts management's right to assign or reassign duties and responsibilities to this job at any time. About Capital Rx Capital Rx is a full-service pharmacy benefit manager (PBM) and pharmacy benefit administrator (PBA), advancing our nation's electronic healthcare infrastructure to improve drug price visibility and patient outcomes. As a Certified B Corp, Capital Rx is executing its mission through the deployment of JUDI, the company's cloud-native enterprise health platform, and a Single-Ledger Model, which increases visibility and reduces variability in drug prices. JUDI connects every aspect of the pharmacy ecosystem in one efficient, scalable platform, servicing millions of members for Medicare, Medicaid, and commercial plans. Together with its clients, Capital Rx is reimagining the administration of pharmacy benefits and rebuilding trust in healthcare. Capital Rx values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This range represents the low and high end of the anticipated base salary range. The actual base salary will depend on several factors such as: experience, knowledge, skills, and location of the job. Remote, US Salary Range$100,000—$120,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

Senior Lead AI Engineer (Gen AI Platform Services) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (FM Hosting, LLM Inference) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer,(MLX, Agentic AI, Gen AI platform Services) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (FM Hosting) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Sr. Distinguished AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies * At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems * Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers * Experience building and deploying multi-modal models for technologies like computer vision, speech recognition, optical character recognition, or other sensor systems in application such as robotics, digital assistants, industrial automation, autonomous driving, or related Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Sr. Lead AI Engineer (AI Foundations) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Richmond, VA: $179,400 - $204,700 for Lead Machine Learning Engineer San Jose, CA: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (Gen AI Platform Services) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer, AI Foundations Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (LLM Customization and Finetuning) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (AI Foundations, LLM Customization and Finetuning) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer ( MLX, Gen AI Platform Services, Agentic AI) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (MLX) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Distinguished AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies * At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer Richmond, VA: $244,700 - $279,200 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).