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Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. Senior Software Engineer, AI & Analytics Data Enablement Location: Boston, MA As a Senior Software Engineer on Klaviyo's AI & Analytics Data Enablement team, you'll build and own the data foundations that power our Analytics & AI engine. You'll design resilient pipelines and analytics models that turn billions of events and domain objects into trusted, actionable insights for Analytics and AI product features. "Your work will help our customers understand the performance of their marketing and power AI & Analytics experiences for our customers." About the Role You'll join a cross-functional R&D team focused on the availability, quality, and usability of AI and Analytics data for our customers. In this Senior-level role, you'll lead complex software and data engineering projects across multi-component systems, from shaping requirements to design, implementation, and long-term operation. You'll be a go-to expert for AI and analytics data, collaborating with product managers, AI, analytics, and other engineering teams to ensure our data is accurate, observable, and ready to drive insights and enable AI/ML products at scale. You'll also help evolve our technical standards for data engineering, raising the bar on data modeling, performance, and reliability, while mentoring other engineers on best practices and modern data tooling. What You'll Do Lead the design and implementation of robust, scalable data pipelines and core tables for Klaviyo. These pipelines are crucial for powering customer facing analytics features and powering AI models to unlock the next stage of Klaviyo's products Partner with Product, Engineering, and AI/ML teams to define clear, consistent metrics and data contracts that align to business goals and product outcomes. Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up for example, using AI to generate tests, detect anomalies, summarize data issues, or accelerate analysis. Mentor other engineers in data engineering best practices, code quality, observability, and system design; contribute to shared libraries, patterns, and tooling that improve developer velocity across R&D. Who You Are 6+ years of software engineering with at least 4 or those being data engineering experience, with a strong track record building and operating data pipelines and analytics models in production. Deep proficiency in large-scale SQL and data modeling for analytics. Strong programming skills in a modern language commonly used for data engineering (e.g. Python), and familiarity with orchestration and transformation tooling (e.g., Airflow, EMR, Spark/pyspark, or equivalents). Experience working with modern data platforms (e.g., columnar data warehouses, object storage) and processing frameworks (batch and/or streaming). Demonstrated ability to lead complex projects spanning multiple components and engineers—driving clarity, making tradeoffs, and delivering measurable impact on reliability, performance, or business outcomes. Comfortable owning systems in production: you think about observability, incident response, incremental rollouts, and long-term maintainability as part of the design. Excellent communication skills; you can explain data tradeoffs and constraints to non-technical partners and influence decisions with clear reasoning. You've already experimented with AI in work or personal projects, and you're excited to dive in and learn fast. You're hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient. Inclusive, low-ego collaborator who values diverse perspectives and is motivated by helping the team succeed, not just shipping your own code. Nice to Haves Experience in a product-led SaaS environment with large-scale event data Experience in a customer facing data engineering role supports AI/ML features and Analytics Dashboards. Hands-on work with analytics engineering tools and practices (e.g., dbt, metrics layers, semantic models). Experience building near real-time or streaming pipelines for user-facing analytics or monitoring. Domain experience in martech, marketing automation, or customer engagement platforms. We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$148,000—$222,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job Description About the Team STR's Analytics and C2 Division researches and develops novel technologies to solve challenging national security problems through advanced analytics. Our team consists of passionate and motivated engineers and scientists with advanced degrees in engineering, computer science, mathematics, physics, and data science. We use our expertise and creativity to take innovative ideas from conception to mature implementation to improve mission success of our customers. The Signals Exploitation and Tracking (SET) Group in the Analytics and C2 Division focuses on applying machine learning, statistics, estimation theory, and information theory algorithms for signals exploitation, target tracking, predictive analytics, and system resource management. The Role As a Lead Software Engineer at STR, you will help develop disruptive technologies focused on estimation theory, prediction and system resource management. You will design and implement flexible software solutions and collaborate with multi-disciplinary project teams. You will provide high-impact, unique solutions for our customers' most important problems. We are looking for someone to join our team onsite as this position is based primarily in the Woburn, MA office. Who you are: • Active Top Secret Clearance Required with SCI eligibility, for which U.S citizenship is needed by the U.S government, • MS with at least 8 years of experience, and/or PhD with at least 5 years of experience (or equivalent experience) in a scientific field such as applied math, physics, electrical engineering, computer science, or data science, • Proficient in writing maintainable, well documented code and APIs, • Able to work and collaborate on multi-disciplinary teams, • Experience using Linux, • Expertise using C++, Python, and Java, • Have experience in intelligence or military-related mission areas The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.

Job Description Apiphani is a technology-enabled managed services company dedicated to redefining what it means to support mission-critical enterprise workloads. We're a small but rapidly growing company, which means there's lots of room for growth and learning opportunities abound! Apiphani is dedicated to creating a diverse and inclusive work environment for all as a fundamental component of our business. Diversity and inclusion are the bedrock of creativity and innovation. Without diversity of experience and thought, we would fail to progress as a company and as a team. Apiphani strives to foster an environment of belonging, where every employee feels respected, valued, and empowered. We embrace the unique experiences, perspective, and cultural background, which only you can bring to the table. Senior Software Engineer — Agentic AI Platform Location: Remote | Full-time | Competitive Compensation Apiphani is building the future of intelligent infrastructure automation through agentic AI. We're looking for a Senior Backend Engineer to help design and build the systems that power Luumen — an AI-driven automation platform used by enterprise IT and managed service providers around the world. This is a high-impact, zero-to-one engineering role focused on building the backend foundations for large-scale AI orchestration. You'll work on distributed systems that combine traditional infrastructure automation with large language models (LLMs), retrieval-augmented generation (RAG), and intelligent agents. What You'll Do • Design and implement backend services that enable intelligent agent workflows and autonomous infrastructure actions, • Develop APIs and orchestration layers in Python and TypeScript, integrating LLMs, vector databases, and observability pipelines, • Build scalable systems to support LLM-based reasoning, retrieval, and decision-making across cloud infrastructure, • Integrate with AWS Bedrock and other LLM platforms to support multi-model capabilities, • Develop data access and semantic search layers using vector databases (e.g., pgvector, Pinecone, Qdrant), • Build robust monitoring, testing, and CI/CD systems to ensure reliability and reproducibility of AI workflows, • Collaborate closely with the product and DevOps teams to design architecture diagrams, plan deployments, and monitor system health, • Write clean, maintainable code with clear documentation and strong adherence to security and performance best practices, • Participate in code reviews, design discussions, and iterative delivery cycles to improve product velocity and quality What We're Looking For • 6+ years of backend engineering experience in production environments, • Strong proficiency in Python and TypeScript for building distributed, event-driven systems, • Deep understanding of AWS services (Lambda, ECS, Bedrock, S3, CloudWatch, etc.), • Experience designing APIs, microservices, and event pipelines that interface with LLMs or AI models, • Familiarity with vector databases and concepts like embeddings, similarity search, and retrieval-augmented generation, • Experience with infrastructure-as-code tools such as Terraform or AWS CDK, • Understanding of SQL and schema migration workflows (PostgreSQL or similar), • Hands-on experience with Docker, GitHub Actions, and cloud-native CI/CD workflows, • Ability to diagram systems, communicate architecture decisions clearly, and work asynchronously in a distributed team, • Strong sense of ownership and ability to deliver in fast-moving, ambiguous environments Bonus Points • Experience working with LangChain, OpenAI, or Anthropic APIs, • Familiarity with agentic frameworks or AI orchestration systems, • Background in observability or APM tooling (e.g., Datadog, Dynatrace), • Prior experience building automation or infrastructure management tools, • Contributions to open-source LLM or MLOps projects, • Interest in shaping how AI is applied to real-world IT operations Why Join Apiphani You'll be joining a globally distributed, high-performing team focused on redefining how enterprises manage infrastructure. Every feature you build will directly impact how engineers interact with intelligent systems in production environments. This is an opportunity to help architect the foundations of a platform that blends infrastructure automation, AI, and agentic reasoning — where your technical decisions will shape the next generation of enterprise operations. Base Salary$120,000—$160,000 USDCompany Benefits* • Medical/dental/vision - 100% paid for employees, 50% paid for dependents, • Life and disability - 100% paid for employees, • 401K - 3% contribution, no employee contribution necessary, • Education and tuition reimbursement - up to $50K annually, • Employee Stock Options Plan, • Accident, critical illness, hospital indemnity benefits offered through our providers, • Employee Assistance Program, • Legal assistance, • Paid Time Off - up to 6 weeks per year, • Sick Leave - up to 2 weeks per year

Job Description About Verve: Verve is building a world-class team to commercialize wearable solutions that empower the way people move in the world. Our first product is a lightweight, connected wearable system that can be worn all day, every day by industry associates to reduce fatigue, mitigate risk of injury and augment performance. We are looking for an experienced and talented individual to drive Verve’s commercialization and go-to-market strategy. In this role, you will be working with a team of highly-talented team members that are leaders in their respective disciplines. If you have a passion in developing and commercializing next-generation wearable systems to protect and empower our workforce, apply! You Will: • Self-direct to develop and execute SQA strategy for both physical robot and cloud based product lines, • Working with cross-functional team to ensure proper planning for verification and validation during the development and release process., • Establish new tests, best practices, and capabilities for the QA function to bring organization to the next level, • Develop and maintain automated tests using Page Object Model and TestNG test framework, • Partner with other engineering disciplines to develop automated test methodologies to reduce manual testing needs, • Execute developed test plans using a combination of manual and automated system & subsystem testing, • Create detailed and comprehensive test cases, • Document defects and perform regression testing to validate bug fixes, • Analyze quality key performance indicators and provide feedback on test results, • Participate in design and specification reviews to provide meaningful feedback You: • 8+ years of experience as an SQA or software systems engineer for complex network-enabled IoT hardware devices and web applications, • Familiarity with Java, Python, Golang, or other object oriented programming languages, • Clear and effective communication of defects and risks, • Collaborate with cross functional teams and be an advocate for quality, • Proficient with monitoring and test tools such as Mezmo, Postman, and Metabase, • Experience using AWS services including S3, Lambda, RDS, Amplify, • Experience with software QA automation, building software test automation infrastructure & processes, • Experience with bug tracking systems such as Jira, Bugzilla, etc, • Able to perform physical activities such as squats, lifts, and handling objects of up to 25 lbs. We Offer: • The opportunity to make an immediate and visible impact in a fast-growing company with lots of potential., • Passionate and fun teammates., • Wear robots at work! Verve is dedicated to building a diverse team of individuals who are committed to contributing to an inclusive environment. Some of our core values include respect for all, serving the greater good, and welcoming individuals from diverse backgrounds, experiences, and perspectives. 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, sexual orientation, age, marital status, veteran status, or disability status. Even if you do not check every box, but see yourself contributing, please apply.

Job DescriptionAt WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring a Software Engineer II to join the Business Systems team. In this role, you will design, build, and maintain internal tools and integrations that power our business operations. You’ll work cross-functionally with teams across WHOOP to ensure that our systems are scalable, reliable, and efficient, directly impacting how we serve members and scale the business. RESPONSIBILITIES: • Develop, test, and deploy scalable software solutions that support internal operations, including integrations between business applications and services, • Partner with stakeholders across Finance, Operations (Supply Chain, Manufacturing, Quality, Logistics), Membership Services, and other teams to gather requirements and translate them into technical solutions, • Interface with critical business systems: NetSuite, Salesforce, Stripe, Boomi, and more, ensuring reliability, performance, and security, • Contribute to the design and implementation of APIs, data pipelines, and automation to improve business efficiency, • Collaborate with other engineers to share knowledge, establish best practices, and improve engineering processes, • Work collaboratively in a high growth environment with a product minded approach, • Consistently deliver features and code with an iterative approach, • Coach and up-level engineers in your team and neighboring teams through direct and indirect mentorshipQUALIFICATIONS:, • BS in Computer Science, Engineering, or equivalent experience, • 2–4 years of professional software development experience, • Proficiency in at least one modern programming language (e.g., Python, Java, JavaScript/TypeScript), • Experience in API design, integrations, or middleware in a business systems environment, • Experience in relational database design, data modeling, and query optimization, • Strong problem-solving skills and ability to translate business needs into technical solutions, • Experience developing large scale, production-quality web applications, • Thrives with autonomy, with a positive attitude and ownership mentality, • Excellent communication and collaboration skills, with an eagerness to work cross-functionally, • Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributionsThis role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $125,000 - $175,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Job DescriptionCompany Overview Lydian is developing the lowest cost sustainable fuels from waste CO2, water, and renewable electricity to decarbonize the aviation industry. Our breakthrough technology replaces oil and gas refining with fully electrified, modular, and flexible reactor systems that produce fuel with 95% lower emissions than traditional jet fuel. Since our founding in 2021, Lydian has achieved key milestones in record time, including the production of our first liquid fuel from our pilot system, capable of producing ~10,000 gallons of fuel per year for a fraction of the capital and time of alternative approaches. Lydian is backed by top climate investors including Congruent Ventures, Galvanize Climate Solutions, Union Square Ventures, Voyager Ventures, Grok Ventures, and Overture. We are building a motivated, diverse, and collaborative team that is passionate about addressing the growing climate crisis and is committed to excellence in their work. In particular, we look for tenacious people who are energized by solving the hardest, highest impact problems that come their way. Position Overview Lydian is hiring for a Staff Controls & Automation Engineer that will will design, build, and own a state-of-the-art controls architecture for our novel chemical process. You will begin with designing and implementing a sophisticated, operator-friendly control system on our pilot plant, but your ultimate goal is to enable an automated, remote operation of our plants at every scale. You are intimately familiar with classical control and automation equipment but also possess the skills and experience to push beyond PLCs and integrate advanced control techniques into a robust and maintainable control system. Responsibilities * Control Architecture & System Design * Architect the full control stack for pilot → demo → commercial plants, including PLCs, safety PLCs, SCADA/HMI, historian, networking, alarm philosophy, and mode/state logic * Define a clear hierarchy linking base control, supervisory control, and advanced control (state estimation, MPC) * Pilot Plant Automation & Implementation * Develop structured, modular control logic in PLCs and safety PLCs, including reusable AOIs/function blocks for valves, heaters, compressors, and reactors * Own interlocks, permissives, fail-safe behavior, alarm logic, and safety instrumented functions * Implement robust state-based control, including state estimators to infer unmeasured internal process variables and stabilize noisy measurements * Build inferential “soft sensors” for reactor states, product composition, and equipment health. Implement diagnostics and anomaly/fault detection * Advanced Controls * Over time, validate and tune advanced controllers through simulation, staged deployment, and coordinated field commissioning * Identify multivariable, constraint-heavy loops suitable for MPC or other model-based controllers and implement MPC in a suitable environment * Leadership & Cross-Functional Collaboration * Work with external software vendors and other team members to build analysis and tuning tools to support R&D campaigns, long-term performance evaluation, and algorithm refinement * Develop simulation or digital-twin models to safely prototype new control strategies * Collaborate with process, mechanical, electrical, and operations teams to translate process requirements into robust, maintainable control logic * Support commissioning, plant bring-up, troubleshooting, and continuous optimization * Drive rigorous version control, documentation, and management-of-change practices Qualifications * Bachelor's Degree with 10+ years of experience designing and owning automation systems for continuous chemical or energy processes * Strong foundation in control theory, process dynamics, multivariable interactions, and constraint management * Practical experience with state estimation and inferential sensing * Hands-on deployment of MPC or other model-based controllers on real industrial systems * Expertise with PLC platforms and SCADA/HMI systems * Deep experience with interlocks, permissives, safety logic, shutdowns, and high-temperature/high-pressure/flammable gas systems * Ability to make advanced control practical and easy to understand * Experience with thermochemical systems, especially catalytic systems * Experience integrating advanced control with DCS platforms (DeltaV, PCS7, Honeywell Experion, Yokogawa Centum) * Familiarity with Python or similar tools for prototyping estimation and control algorithms. * Experience in FOAK hardware or fast-moving industrial startup environments where flexibility and autonomy are required Company culture and benefits * Challenging, collaborative, and meaningful work and an important voice in company development * Competitive salary commensurate with experience * Meaningful equity compensation * Generous PTO and expectation that all employees take significant time off to rest, recharge, and enjoy life outside work * Excellent health insurance with 100% of healthcare, vision and dental premiums covered * 401(k) with company match

Job Description Join the Market Leader in Electric Power Data and Analytics Solutions The electrical grid is the largest and most complicated machine ever built. Yes Energy's industry-leading electric power trading analytics software provides real-time visibility into the massive amount of data generated by the North American electrical grid daily. Our unique and innovative view of the data informs real-time trading decisions and mid-to-long-term investment decisions that keep utility prices low, support the energy transition, and keep the grid running. It's both challenging work and work with a purpose. Be a part of our successful, growing business during international transformation. Position Summary As an Analyst, Power Markets Modeler, you will play a key role in developing our differentiated asset-level forecasts and models. You will research North American power market fundamentals and regulatory trends to provide accurate, granular insights into renewable, thermal, and high-voltage transmission assets. Working within a multi-functional collaborative team, you will bridge the gap between complex power grid data and actionable client insights. Position Details • Salary range: $90,000 - $110,000, • Location: Hybrid - Boston (Newton), MA, • Full-time, • Hybrid - 2 days in the office, • Reporting to: Director, Energy Modeling, • Develop Grid Models: Build and maintain forecasts of the North American electric grid using in-house tools and proprietary procedures., • Market Monitoring: Track trends in renewable energy, battery storage, energy policy, and the retirement of conventional generation., • Data Automation: Leverage technical skills to automate the ingestion of input datasets and the analysis of model results., • Benchmarking & Testing: Plan and execute benchmarking to test model accuracy and drive continuous improvement in future modeling., • Quantitative Analysis: Analyze external US power grid data spanning environmental, financial, and operational metrics., • Client Collaboration: Serve as a subject matter expert to explain market models and scenarios to clients and success teams., • Bachelor's degree in engineering, mathematics, or another quantitative field., • Strong data analysis skills with hands-on experience using Python, R, or similar languages., • Foundational knowledge of North American power market fundamentals and regulatory trends., • Academic understanding of optimization modeling (constraints/shadow pricing) and microeconomics., • Basic understanding of elementary finance, including net present value (NPV) calculations., • Strong communication skills with the ability to explain complex findings to diverse teams., • Advanced Degree: Master's or PhD in engineering, mathematics, or economics., • Simulation Expertise: Prior experience with power system models like ENELYTIX, AURORA, PLEXOS, or PROMOD., • Industry Experience: Previous work in power markets or renewable energy., • Energy Industry Knowledge: Deep understanding of ISO/RTO market data, including pricing and congestion., • Technical Execution: Proficiency in econometrics, statistics, and manipulating data via SQL or Python., • Problem Solving: Ability to apply structured thinking to break down complex grid challenges., • Systems Thinking: Understanding how data, technology, and market processes interact across the grid. At Yes Energy, we value connecting directly with candidates. We kindly ask that third-party recruiters and agencies not submit resumes, as we are not open to external recruiting partnerships. ABOUT YES ENERGY Overview Yes Energy delivers real-time market data and electric power trading decision solutions. Over 1,000 market participants use Yes Energy solutions daily. The business is a leader in all aspects of information content collection and management, developing and delivering data and market analytics solutions. Since its inception in 2008, Yes Energy has become a trusted and respected supplier of innovative and reliable solutions focused on the needs of power market analysts, traders, and trade managers. Yes Energy has a team of over 350 amazing professionals in Boulder, CO (HQ); Boston, MA; Chicago, IL; Glendora, CA; Richmond, VA; London, United Kingdom; Auckland, New Zealand; and Bucharest, Romania. Culture Yes Energy has been named one of the Best Places to Work in Colorado, and we have the culture to prove it. At Yes Energy, we care about saying "Yes" to customers. We like to listen, learn, and develop our solutions in line with their needs. We think about customers as business partners, and when we help them be more successful … we are more successful, too. Around the office, our culture is driven by some pretty fundamental values that we're proud of: • We love innovation and solving tough challenges;, • We are "high standards people" who combine passion and pride with hard work and rewards of all kinds-- in an ethic that is consistent across the company., • We're team-focused with a flat hierarchy-- we work in small teams on well-defined projects that directly impact the success of the business;, • We play to the strengths and experience of each person while each of us also works along a continuum of roles adjacent to our focus area. This presents the challenge of maintaining a broad set of skills as well as an opportunity to learn and contribute in many ways. We offer highly competitive salaries and real bonuses that are achievable and that you can impact. Our benefits package is also very competitive, including medical insurance, a 401 (k) Plan with matching, flexible vacation, and flexible work schedules. Yes Energy encourages and funds investment in both formal and informal professional development. At Yes Energy, we are dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't perfectly align with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. In accordance with Colorado law, the range provided is Yes Energy's reasonable estimate of the base compensation for this role. The actual amount may be higher or lower based on non-discriminatory factors such as location, experience, knowledge, skills, and abilities. Yes Energy provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, Yes Energy complies with applicable state and local laws governing nondiscrimination in employment in every location where the company has facilities. 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.

Job Description Who are we? Buyers Edge Platform stands at the forefront of revolutionizing the foodservice industry through technology, purchasing power and partnerships. We are dedicated to empowering stakeholders across the entire foodservice ecosystem (operators, distributors, manufacturers) with efficiency and unprecedented visibility. With a diverse portfolio of over a dozen brands, our mission is clear: to reduce costs, streamline the foodservice supply chain, and propel the industry from manual to automated. Today, we are one of the largest players in foodservice, with over 200K operator locations across North America and over $50 billion of aggregated spend volume. Our commitment to foodservice excellence is proven in four distinct areas of value: Digital Procurement Network, Fresh Solutions, Supply Chain Management, and Software. Buyers Edge Platform is not just a provider – we are a strategic partner on the journey towards a more efficient, connected, and automated future for the foodservice industry. This position is remotely based. We are unable to offer work sponsorship for this role. We are seeking a Sr. Security Engineer who will be responsible for providing guidance and improving the organization's security strategy as a security generalist. This is an opportunity to join a growing Cyber Security team in a growin technology company. Your impact: • Implement security scanning into existing CI/CD workflows., • Engineer, Implement and monitor security measures for the protection of restricted company data., • Assist department heads with creating secure and compliant workflows., • Using Vulnerability Management work with system owners to remediate discovered vulnerabilities., • Manage and maintain our vulnerability management solution., • Build and maintain detection and response systems such as a SIEM., • Risk Assessments and defining required security controls., • Develop and maintain security policies., • Provide security expertise to development teams., • Analyze business needs, research, and recommend solutions., • Occasional after-hours work., • Four-year degree in Computer Science, Information Systems, Engineering, Information Security or equivalent, • 5+ years' experience in a security related position – at least 2 years in a SaaS environment, • 2+ years administrating systems, • 2+ years working with Amazon Web Services in production environments., • Familiar with NIST CSF, NIST 800-53, and ISO27001 frameworks., • Basic understanding of PCI-DSS, • Solid understanding of OWASP, • Experience working in a SOC2 environment, • Good understanding of security benchmarking such as CIS Standards, • Understanding of at least one scripting language such as Bash, Python, Perl, GO or Ruby, • Experience with security monitoring tools. SIEM, Vulnerability Management, and IDS What's in this for you? • Great benefits from day one. We offer medical, dental, vision, FSA, company-paid life insurance, and more—plus a 401(k) with company match., • Grow with us. Enjoy strong training, development, and competitive pay., • Work-life balance. Our flexible PTO policy lets you take time when you need it—no accrual required. We welcome all. We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances.

Job DescriptionWhat We Do Gecko Robotics is helping the world’s most important organizations ensure the availability, reliability, and sustainability of critical infrastructure. Gecko's complete and connected solutions combine wall-climbing robots, industry-leading sensors, and an AI-powered data platform to provide customers with a unique window into the current and future health of their physical assets. This enables real-time decision making to increase the efficiency and safety of operations, promote mission readiness, and protect the environment and civilization from the effects of infrastructure failure. Role at a Glance We are hiring our first dedicated Product Security Engineer to build and scale application security at Gecko. You will play a key role in shaping how security works across our product as we grow. This is a hands on role. You will work directly with engineers to make secure software the default. We have tools in place today, but we need someone who can improve them, automate workflows, and reduce manual security work. If you enjoy building systems from the ground up, solving practical problems, and partnering closely with product and engineering teams, this role is for you. What you will do * Build and improve application security across our product and cloud systems. You will work closely with engineers to make secure software the default, without slowing teams down. * Add security checks into CI and CD pipelines so issues are caught early. Improve existing tools and reduce noise so engineers can focus on what matters. * Review code and infrastructure to find and fix security risks. Help teams use secure patterns that are easy to repeat. * Automate security tasks that are currently manual. Build guardrails that scale as the company grows. * Partner with platform teams to strengthen cloud security in AWS or Google Cloud and prevent common mistakes. * Support security controls needed for SOC 2, ISO, and similar standards as we continue to grow. Technologies We Use * Python, JavaScript, React * Amazon Web Services and Google Cloud * GitHub, GitLab, Jenkins * Containers and infrastructure as code About you Required Skills * 5+ years of experience in application security, product security, or DevSecOps * Bachelor’s degree in Computer Science, Cybersecurity, Engineering, or relevant experience * Strong understanding of cloud security in AWS, Azure, or Google Cloud * Experience writing and reviewing code in languages such as Python, Javascript, Java, or Go * Experience integrating security into CI and CD workflows * Ability to work closely with engineers in a fast moving startup environment * Practical mindset focused on managing risk without blocking progress * Strong english written and verbal communication skills. Able to explain security risks and solutions clearly to both technical and non-technical teams * Willingness and ability to travel approximately four to six times per year Preferred Skills * Experience building or maturing application security practices in early stage companies * Experience working in regulated or defense related environments * Security certifications such as OSCP, CSSLP, or similar Who We Are At Gecko, our people are our greatest investment. In addition to competitive compensation packages, we offer company equity, 401(k) matching, gender-neutral parental leave, full medical, dental, and vision insurance, mental health, ongoing professional development, family planning assistance, and flexible paid time off. Gecko values collaboration, innovation, and partnership, and we believe we do our best work when we're together in person. We’re an office-first culture but understand that sometimes you may need to work from home. Many people are in the office five days a week, others need a bit more flexibility. Ultimately, we care about the outcomes we achieve - and creating a culture of autonomy and trust that enables that impact. Gecko is committed to creating a culture of inclusion and belonging, and we are proud to be an equal opportunity employer. We believe it is our collective responsibility to uphold these values and encourage candidates from all backgrounds to join us in our mission to protect today’s infrastructure and give form to tomorrow’s. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, veteran status, age, or any other protected characteristic per federal, state, or local law. If you are passionate about what you do and want to use your talents to support our critical mission, we’d love to hear from you. Compensation Range: $175K - $210K

Job DescriptionCompany Description To create revolutionary, story-driven RPGs which go straight to the hearts of gamers — this is our mission. Want to dive deeper into our company’s culture? Explore our social media and check out our YouTube channel and Beyond the Game Blog where we share behind-the-scenes insights and stories direct from our team members! Job Description CD PROJEKT RED is looking for a Lead Technical Animator to join our studio in Boston and work on Project Orion, the follow-up to Cyberpunk 2077. You will bring your years of expertise, leadership skills, attention to detail, and passion for creating animation pipelines and systems for characters, vehicles, and weapons to our growing team. Responsibilities • Develop and manage a high performing Technical Art team comprising Rigging TD’s and Technical Animators., • Leverage your skillsets in both digital content creation tools and real-time engines to drive and deliver high-quality character, vehicle, and weapon workflows, pipelines, and animation solutions., • Manage your direct reports and help them grow in their role and ambitions, including setting up 1:1s, performance management, hiring and promotions., • Work with Directors and Production to estimate and plan work., • Collaborate closely with designers, artists and other developers to understand their needs and ensure that your team is aligned to deliver on expectations., • Coordinate and drive cross-discipline functional teams from feature conception to completion., • Establish and maintain best practices offering guidance to support content development team artistic and technical objectives., • Prototype, research, integrate, and extend rigging and animation systems., • Help devise, develop, and maintain pipelines for asset creation focusing on characters, weapons, and vehicles., • Solve complex technical art challenges while ensuring workflows and systems are efficient and scalable., • Actively participate in evaluating performance and optimization to ensure seamless cross-team gameplay experiences., • Foster cross-department collaboration to ensure the content and animation work effectively contributes across game teams and systems.Qualifications, • Minimum 7+ years of experience in the video games industry, including at least one shipped AAA title through the entire production lifecycle., • Experience leading a technical art team., • Expertise in Unreal Engine 5 Rigging and Animation Systems., • Animation pipeline knowledge including developing and scripting tools for Maya, MotionBuilder, or other DCC applications., • Proven track record of building character, vehicle, weapon workflows and pipelines., • Excellent problem-solving, communication, and teamwork skills., • Ability to think creatively and strategically to overcome technical challenges and drive innovation in technology. (Please note that these skills are not required to apply for the position) • Strong C++, C#, or Python tool development and scripting professional experience., • Experience in animation performance/memory optimization. Additional Information The application window for this position will close by 04/30/2026. This job requires working in Boston, US. Working mode: in-office in a hybrid or full-time capacity. Remote roles in the US are only available to candidates that reside in the following states: California, Colorado, Connecticut, Florida, Illinois, Kentucky, Maryland, Massachusetts, Minnesota, Nevada, New Hampshire, New Jersey, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, Tennessee, Texas, Washington, Wisconsin. Health & Well-Being • Company-paid medical healthcare (dental, vision, and mental)., • Free mental health support, including access to counseling, psychiatric care, and a variety of well-being webinars., • Paid leave - 26 days of vacation, 10 sick days, & 12 calendar holidays per year., • 401K with employer matching., • Lifestyle Spending Account (LSA) – $100 per month to use towards fitness, wellness, internet, home office equipment, learning, streaming services, and more., • Menstrual leave — employees who menstruate can take one extra day off when experiencing period pain., • Flexible working hours., • Trainings, lectures, and courses — internal workshops, knowledge-sharing initiatives, online tutorials, and e-learning classes are all available., • Dog-friendly office — bring your pooch with you and look after them while working! There’s always a furry friend or two to meet., • Truly international working environment — a chance to meet and work with a diverse selection of people from all around the world. Estimated pay range for this position: $168,200 - $257,000 USD annually This role may be eligible for a long term incentive program (option to purchase CDPR stock after the vesting period). Final offers are dependent on job-related factors like experience and qualifications. At CD PROJEKT RED compensation for our roles in North America are determined based on competitive market data, geographic location, and individual factors tied to business needs. The base pay range is subject to change and may be modified in the future. Final offers are dependent on job-related factors like experience, qualifications, and location. If you've observed any irregularities (i.e. legal or ethical violations) in our recruitment process, please click here to report them anonymously. #LI-Hybrid #LI-ONSITE

Job Description At OneStudyTeam (a Reify Health company), we specialize in speeding up clinical trials and increasing the chance of new therapies being approved with the ultimate goal of improving patient outcomes. Our cloud-based platform, StudyTeam, brings research site workflows online and enables sites, sponsors, and other key stakeholders to work together more effectively. StudyTeam is trusted by the largest global biopharmaceutical companies, used in over 6,000 research sites, and is available in over 100 countries. Join us in our mission to advance clinical research and improve patient care. One mission. One team. That's OneStudyTeam. By joining our team as a Senior Machine Learning Engineer, you will play a pivotal role in building cutting-edge AI products that directly impact how new therapies reach patients. We're looking for an experienced ML engineer who is passionate about turning advanced AI research into scalable, real-world solutions. You thrive on solving complex problems, pay close attention to detail, and consistently seek to automate and improve processes. You shine as a collaborator and excel as an individual contributor, with the courage to tackle challenging problems and the humility to learn and adapt. Your initiative and discipline allow you to thrive while working remotely, and your high degree of empathy and communication skills makes you the kind of colleague everyone wants on their team. As an integral member of our fast-growing organization, you will leverage AI to transform clinical research and improve patient care. What You'll Be Working On: • Build and deploy AI-driven products that accelerate clinical trials and improve patient outcomes. Your work will deliver scalable machine learning solutions to complex, real-world problems in clinical research., • Develop advanced ML models and LLM-powered agents for critical use cases like patient recruitment, enrollment forecasting, and study feasibility. You'll also help expand our AI knowledge base architecture to support these innovative solutions., • Leverage modern cloud tools and MLOps best practices to build robust data pipelines and deploy models at scale. You'll use technologies like Python (and Clojure), AWS services (Athena, Bedrock, SageMaker, etc.), dbt, Prefect, and CI/CD automation with monitoring to ensure models are reliable and up-to-date., • Collaborate across teams of data scientists, product managers, designers, engineers, and domain experts to integrate AI capabilities into our platform (including Care Access products). Ensure these AI solutions seamlessly support and enhance clinical research workflows for end-users., • Continuously learn and innovate. Stay up-to-date with the latest developments in ML/AI (LLMs, NLP, probabilistic modeling, etc.) and proactively bring new ideas to the team. You'll have the freedom to experiment with cutting-edge techniques and turn promising prototypes into production features that drive our mission forward.What You'll Bring to OneStudyTeam:, • Extensive ML engineering experience: 5+ years of hands-on experience building and deploying machine learning solutions in production at scale. Proven ability to implement end-to-end ML pipelines from data ingestion to model serving for real-world applications used by real people., • Strong programming and data skills: Proficiency in Python and its ML ecosystem (pandas, scikit-learn, TensorFlow/PyTorch), with clean and efficient coding practices. Comfortable working with large datasets, writing complex SQL queries, and leveraging modern data processing frameworks. Experience with functional programming (e.g. Clojure) is a plus but not required., • Cloud and MLOps expertise: Experience with modern cloud infrastructure (AWS or similar) and containerization tools like Docker. Familiarity with MLOps best practices such as CI/CD pipelines, automated testing, and monitoring model performance/data drift to ensure reliable, scalable deployments., • Deep ML/AI knowledge: Strong understanding of machine learning fundamentals (model selection, training, evaluation, feature engineering) and statistical modeling. Familiarity with NLP and large language models is important., • Analytical problem-solving: Ability to break down complex problems and devise effective, efficient ML solutions. You balance pragmatic engineering with scientific rigor, ensuring models are not only accurate but also performant and maintainable in production. We value diversity and believe the unique contributions each of us brings drives our success. We do not discriminate on the basis of race, sex, religion, color, national origin, gender identity, age, marital status, veteran status, or disability status. Note: OneStudyTeam is unable to sponsor work visas at this time. If you are a non-U.S. resident applicant, please note that OneStudyTeam works with a Professional Employer Organization. As a condition of employment, you will abide by all organizational security and privacy policies. This organization participates in E-Verify (E-Verify's Right to Work guidance can be found here). Mandatory Employer Disclosures: Notice to Illinois applicants: Applicants are not obligated to disclose expunged juvenile records or adjudication, arrest, or conviction. Notice to Connecticut applicants: OneStudyTeam may require applicants to submit to a urinalysis drug test in connection with an application for employment. Notice to Arizona, Georgia, Indiana, and North Dakota applicants: OneStudyTeam complies with applicable laws prohibiting smoking in and around places of employment. Notice to Massachusetts applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Notice to Rhode Island applicants: OneStudyTeam complies with Rhode Island law prohibiting smoking in enclosed areas within places of employment. OneStudyTeam is also subject to is subject to Chapters 29–38 of Title 28 of the Rhode Island General Laws. Notice to Maryland applicants: UNDER MARYLAND LAW, AN EMPLOYER MAY NOT REQUIRE OR DEMAND, AS A CONDITION OF EMPLOYMENT, PROSPECTIVE EMPLOYMENT, OR CONTINUED EMPLOYMENT, THAT AN INDIVIDUAL SUBMIT TO OR TAKE A LIE DETECTOR OR SIMILAR TEST. AN EMPLOYER WHO VIOLATES THIS LAW IS GUILTY OF A MISDEMEANOR AND SUBJECT TO A FINE NOT EXCEEDING $100.

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. Why You Should Join the Mobile Channels Team: The Mobile Channels team at Klaviyo powers text messaging across Klaviyo's platform — SMS, RCS, WhatsApp, and a growing set of future text messaging channels. Mobile is one of Klaviyo's fastest-growing product areas: as brands shift more of their owned-channel investment to mobile, our team builds the infrastructure that makes high-throughput, reliable delivery possible across a complex, multi-channel landscape. We own the systems that connect Klaviyo customers to their audiences through the fastest and most personal communication channels available — at scale, across geographies, and against a constantly evolving set of carrier, regulatory, and provider constraints. As a Senior Lead Software Engineer on the Mobile Channels team, you'll be the technical area lead for Mobile Channels — driving architecture and technical direction across the SMS, RCS, and WhatsApp teams, and the new channels we'll add next. You'll define the cross-team technical roadmap for the pillar, own the architectural patterns that bind the channels together (ingestion, routing, provider integration, status tracking, compliance automation, deliverability), and lead the most complex, multi-team initiatives end-to-end. This is a hands-on technical leadership role: you'll contribute to architecture and code, lead design reviews, mentor Lead and Senior engineers across multiple teams, and partner closely with Engineering Managers to keep our systems healthy as the surface area grows. If you're excited about being the senior IC who connects the technical strategy across an entire multi-channel messaging pillar — and doing it at one of Klaviyo's highest-growth product areas — Mobile Channels is the place to do it. How You Will Make a Difference: • Technical Strategy & Roadmap: Define and drive the cross-team technical roadmap for Mobile Channels, aligning architectural direction across SMS, RCS, WhatsApp, and emerging channels with company priorities and the broader Messaging Infrastructure strategy., • Multi-Team Architecture: Own the architectural patterns that span the pillar — message ingestion and routing, provider integration, status tracking, deliverability, opt-in/opt-out and compliance automation, multi-region readiness — and embed them into team roadmaps, not just documents., • Hands-On Technical Leadership: Stay in the code. Drive architecture and design across teams, lead high-stakes design reviews, build prototypes and reference implementations to de-risk decisions, and ship meaningful contributions yourself., • Reliability & Scale: Raise the bar on reliability across Mobile Channels — drive systemic fixes for recurring incidents, lead deep dives on the highest-impact production issues, and embed stronger guardrails (end-to-end testing in CI, readiness gates, observability standards) into how the teams ship., • Cross-Functional & Cross-Pillar Collaboration: Partner with Engineering Managers, Product, Deliverability, Compliance, and Platform leadership to sequence cross-team work realistically. Build durable peer relationships with senior technical leaders across Klaviyo's other engineering pillars to drive company-wide technical objectives that span multiple pillars — bringing the Mobile Channels perspective to those forums, and connecting our roadmap to the broader engineering strategy., • AI-Forward Engineering: Put AI at the center of how the teams build and how the systems run — model AI-fluent engineering practices yourself, and drive concrete improvements to operational and developer workflows (anomaly detection, synthetic load, runbook automation) across the teams., • Mentorship: Mentor other engineers regularly, primarily experienced lead and senior engineers across SMS, RCS, and WhatsApp, and represent Mobile Channels' technical bar in senior hiring., • Continuous Improvement: Stay current with how the messaging ecosystem and engineering craft are evolving — new channels, carrier and regulatory shifts, AI tooling, performance and reliability practices — and translate that into concrete, sequenced improvements for the teams.Who You Are:, • Experience: 12+ years of software engineering experience with a strong track record building and scaling distributed backend systems. Prior time as a Lead, Staff, or Principal engineer driving technical direction across multiple teams., • Hands-On Technical Depth: Proficient in Python and/or Go, and able to rapidly learn the other. Comfortable coding, reviewing, and debugging complex systems — this is a hands-on role., • Distributed Systems Expertise: Deep experience with high-throughput, event-driven, distributed architectures — ingestion pipelines, async processing, stateful workloads, eventing patterns, multi-region/data-locality concerns, and the failure modes that come with all of it., • Architectural & Strategic Skills: Demonstrated ability to define technical strategy and drive cross-team architectural decisions in ambiguous, high-stakes environments — and to commit to a call even when there's disagreement, backed by data and prototypes., • Cloud & Platform: Strong experience with AWS at scale; comfortable with Infrastructure as Code (Terraform), containerization, and modern observability stacks (metrics, logs, traces, SLI/SLO design)., • Business & Product Mindset: You think beyond the code — you understand customer impact, commercial value, and the cost-vs-conversion tradeoffs that come with mobile messaging — and you bring that mindset into architectural decisions., • Influence & Communication: Exceptional communicator; can articulate complex technical concepts to engineers, product leaders, and executives, and can rally multiple teams toward sequenced, realistic improvements., • AI Enthusiast: You've already experimented with AI in work or personal projects, and you're excited to dive in and learn fast. You're hungry to responsibly explore new AI tools and workflows, finding ways to make your work — and the systems you build — smarter and more efficient., • Collaborative & Self-Led: Strong cross-functional partner; thrives in a hybrid team and high-autonomy environment; ships value early and iterates.Nice to Have:, • Experience with the SMS, RCS, or WhatsApp ecosystems, including channel-specific protocols, opt-in/opt-out semantics, and familiarity with key 3rd-party entities (carriers, providers, regulators) and compliance rules and best practices., • Background in performance optimization and a passion for digging into performance, scalability, and reliability issues to drive breakthrough solutions across distributed systems., • Experience with multi-region deployments, data residency, and large-scale data or service migrations with minimal downtime., • Familiarity with complex data management for testing, including large datasets and production-like data replication.Technologies We Use:, • Python, Go, • AWS, Terraform, DynamoDB, Redis, SQL Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$216,000—$324,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job Description About Us PhaseV (HQ in Boston, R&D in Tel Aviv) is a cutting-edge startup, pushing innovation in the drug development process to bring new treatments to more patients, in a more efficient and precise way. Leveraging the power of advanced causal inference and pushing the boundaries of machine learning, PhaseV detects hidden signals in clinical data and extracts actionable insights for planning the optimal trial. The company's proprietary ML-based platform for adaptive clinical trial design and closed-loop execution enables sponsors to easily and quickly unlock the potential of adaptive clinical trials, reveal the optimal adaptive design to meet their trial objectives and execute more efficient, more precise, and more successful clinical trials. Collaborating with 7 of the top pharmaceutical companies, as well as multiple CROs and biotech, we are poised to make a significant impact on how drugs are developed and brought to market. The Position We are looking for a talented and driven backend developer to join our R&D team. In this role, you will work closely with our data science, algorithm research, and clinical teams to create and refine a state-of-the-art clinical trials platform. You'll take on the exciting challenge of developing an intuitive, efficient, and scalable solution that transforms how drug development clinical trials are designed and executed. This is a unique opportunity to make a tangible impact on cutting-edge healthcare innovation while working at the intersection of technology, data, and medicine. Duties and Responsibilities Develop a complex, cloud-based solution, and maintain its high level of quality Demonstrate a proactive, solution-driven mindset to deliver results. Help in designing robust, scalable, and testable software solutions in a fast-paced environment Take an active part in all development phases, including research, design, development, testing Required Qualifications • BSc in Computer Science from a recognized university or equivalent practical experience, • Substantial experience in server-side development, • Minimum 5 years of experience in Python development, • Over 5 years of experience in designing and developing APIs, • At least 3 years of hands-on experience with both relational and NoSQL databases, demonstrating strong database design skills., • 3+ years of experience with AWS, showing proficiency in leveraging AWS services for building and maintaining scalable cloud applications., • 3+ years of experience in using Docker and Kubernetes, with a solid track record of deploying and managing containerized applications in production environments., • Last but not least, passion for working on a meaningful product with strong independent coworkers. What We Offer A chance to be a part of a groundbreaking team in the clinical trial domain. An innovative and collaborative work environment. Opportunities for personal and professional growth

Job DescriptionHigh-definition HD maps are foundational to enabling safe, scalable autonomous driving. We are seeking highly motivated engineers who are passionate about solving complex, real-world problems and building state-of-the-art mapping systems. In this role, you will collaborate with a diverse, cross-functional team to design and develop large-scale HD mapping algorithms, workflows, and data pipelines. Your work will directly impact our ability to efficiently map new cities and continuously update existing maps at scale, playing a critical role in accelerating our autonomous vehicle deployment. In this role, you will: • Automate large-scale mapping pipelines and workflows, • Contribute to scalable algorithms for map creation, validation, and maintenance, • Ensure system reliability and performance through testing, debugging, and continuous improvement of production systems, • Collaborate cross-functionally with a variety of teams working on things such as perception, planning, prediction, simulation, etc, • Propose tool and/or feature ideas to the team to improve processesQualifications:, • BS or MS in Computer Science or related field and 3+ years experience, • Proficiency in C++ and Python, • Experience in cloud / distributed computing and automating pipelines, • Experience in industry software devops workflow and tools, for example, CI / CD, • Experience working with 3D sensor data from cameras and/or lidarsBonus Qualifications:, • Experience with mapping or geospatial data, • Experience with React and frontend development

Job DescriptionPosition Overview We are seeking an undergraduate student to support our Finance and IT teams with a focus on data analysis and quantitative problem-solving. This internship provides hands-on experience working with financial datasets, basic modeling, and tools used in data-driven decision-making. We welcome candidates from analytical and cross-disciplinary backgroundsincluding mathematics, applied mathematics, statistics, economics, engineering, computer science, physics, astrophysics, quantum computing, biotech and other data-driven fieldswho are interested in applying quantitative thinking to real-world business and financial problems. Key Responsibilities • Work with structured datasets to support basic financial and operational analysis, • Assist in organizing, cleaning, and validating data for reporting and modeling, • Build and maintain spreadsheets and simple analytical models in Excel, • Support development of reports, dashboards, and visualizations, • Identify patterns, inconsistencies, or trends in data, • Assist with automation or efficiency improvements using tools like Excel, SQL, or Python (where applicable), • Collaborate with team members on data, finance, and technology-related tasks, • Apply quantitative or analytical approaches from coursework to practical business problemsRequired Qualifications, • Currently pursuing a Bachelors degree in a quantitative or analytical field (e.g., Mathematics, Applied Mathematics, Physics, Astrophysics, Statistics, Economics, Computer Science, Quantum Computing, Engineering, Finance, Biotech, or other data-driven discipline), • Strong problem-solving and analytical thinking skills, • Familiarity with:, • Microsoft Excel (formulas, basic functions), • Microsoft Office (Word, PowerPoint), • Comfort working with numbers and structured data, • Strong attention to detail and willingness to learnPreferred Qualifications, • Exposure to programming or data tools (Python, SQL, R, or similar) through coursework or projects, • Experience with Excel functions (e.g., VLOOKUP, pivot tables), • Introductory knowledge of statistics, probability, or data analysis, • Interest in financial markets, data analytics, or fintech, • Coursework or projects involving:, • Data analysis or visualization, • Mathematical modeling, • Machine learning (introductory), • Computational or applied problem-solvingWhat Youll Gain, • Hands-on experience applying quantitative skills in a real-world business environment, • Exposure to financial data, analytics workflows, and decision-making processes, • Opportunity to build foundational data and modeling skills, • Mentorship and professional development, • Insight into career paths in quantitative finance, data science, and analyticsInternship Details, • Summer 2026, with possible extension

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. Job Title: Sr. Lead AI Engineer Location: Boston, MA This role is based in our Boston, MA hub (Hybrid-3x week). About the Role At Klaviyo, we believe the future of software isn't just better productivity tools for humans—it's systems that can run, optimize, and adapt themselves based on outcome and reward signals. We've already built the infrastructure and applications that sit between businesses and consumers—serving 183,000+ customers, billions of consumer profiles, and hundreds of billions of messages and conversion events. Now we're investing heavily in Marketing AI and Service AI: the shared services and agentic capabilities that power AI‑native experiences across Klaviyo. As a Sr. Lead AI Engineer in the AI & Analytics organization, you'll be the technical leader for a set of high‑impact AI services and agentic systems. You'll own architecture and execution for complex, distributed backend systems; guide other engineers through design and implementation; and partner closely with product, machine learning, and data science to turn AI ideas into reliable, scalable production capabilities. This is a hands-on tech lead role, not a people‑manager role. How You'll Make a Difference • Define and improve the engineering architecture for Service and Marketing AI capabilities. Lead the design of scalable, low‑latency backend systems and APIs that power our AI products and agents for 183K+ customers, handling billions of events and interactions., • Build and harden AI serving systems. Lead the development of services that host and orchestrate AI models (LLMs, tools, evaluators, retrieval systems), with clear contracts, SLOs, and observability so other teams can depend on them., • Evolve our agentic architecture. Drive the technical roadmap for Service and Marketing AI agents—improving tool use, autonomy, and reliability so agents can safely take actions on behalf of customers and internal users with minimal human intervention., • Set engineering standards for AI services. Establish best practices for evaluation, safety/guardrails, prompt and model versioning, offline and online tests, and incident response for AI‑backed systems; hold the bar for design reviews and code quality., • Lead cross‑team technical work. Act as the primary technical interface between Service / Marketing AI and other product/platform teams—clarifying ownership boundaries, aligning on interfaces, and unblocking dependencies across hubs and time zones., • Mentor and uplevel engineers. Coach senior and mid‑level engineers through design, implementation, and operational best practices, helping them grow into stronger system owners and future tech leads., • Help build the Palo Alto hub. Shape local engineering rituals, help with hiring and onboarding, and create healthy patterns for cross‑hub collaboration so work and career opportunities are not constrained by geography., • Measure what matters. Define and track key metrics for your systems—availability, latency, cost‑to‑serve, agent success rates, eval scores, and customer adoption—and use those insights to drive roadmap and technical decisions., • Transform engineering and product development workflows by putting AI at the center, building & utilizing agentic coding tools and AI-first working.Who You Are, • Seasoned backend engineer & tech lead. 8+ years of professional software engineering experience with a strong focus on backend and distributed systems; you've led complex projects or areas end‑to‑end and acted as the go‑to technical owner for key services., • Hands‑on with generative & agentic AI in production. You've built and shipped generative or agentic AI applications (e.g., LLM‑backed flows, tool‑using agents, retrieval‑augmented systems) and are comfortable with prompt design, few‑shot approaches, fine‑tuning, and evaluation., • Deep experience with large‑scale distributed systems. You've architected and operated reliable services, async processing pipelines, and distributed task queues (e.g., Celery, Kafka, SQS, RabbitMQ, Redis) supporting high‑throughput workloads., • Strong Python and data tooling fluency. Proficient in Python and modern backend frameworks (FastAPI, Django or similar), with experience using big data tools such as Spark/Hadoop and ORMs like SQLAlchemy/Alembic., • Production‑grade cloud experience. Comfortable with AWS and Kubernetes, CI/CD pipelines, observability, and operational best practices; you treat infrastructure choices as part of the system design, not an afterthought., • Evaluation and quality‑obsessed. You've designed human and automated evals for AI systems, know how to instrument for quality, and understand how to balance latency, cost, and response quality in real‑world usage., • Technical leader, not just individual contributor. You influence architecture beyond your own code, facilitate design reviews, rally cross‑functional partners, and help teams converge on pragmatic decisions in ambiguous spaces., • Collaborative and customer‑first. You're comfortable collaborating directly with PMs, ML engineers, and customers; you can translate between customer needs, product goals, and technical constraints, and you care deeply about the customer experience., • You've already been effectively practicing agentic coding in your daily work. You're hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient., • Bonus: You use AI tools to accelerate exploration, shorten iteration cycles, and bring sharper ideas to the table—for yourself and your teammates.Nice to Haves, • Prior experience training and deploying ML models (including RL or RLHF) into production systems that drove measurable business impact., • Experience building shared AI/ML platforms or services used by multiple product teams., • Background in marketing tech, ecommerce, or other domains where customer data, personalization, and experimentation are central. We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$216,000—$324,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job Description Mission Summary: We are looking for a Senior Software Engineer to develop and deliver automated workflows, intelligent tooling and insightful analytics that enables our autonomy stack to scale. You will play a pivotal role in transforming massive amounts of data into actionable engineering insights, ensuring our software releases are robust, validated, and ready for the road. What you'll be doing: • Develop Intelligent Tooling: You will design and implement sophisticated automation to categorize and explain complex system behaviors by leveraging advanced data modeling to accelerate solutions., • Drive Analytics: You'll lead the creation of high-impact performance visualization tools that translate raw metrics into clear, actionable insights regarding on-road performance., • Streamline Release Engineering: Your expertise will help the team evolve our release processes, moving toward a highly automated deployment framework that maintains quality while improving efficiency, • Advance Simulation Capabilities: You'll have the opportunity to enhance our virtual testing ecosystems, ensuring our simulation suites provide the high fidelity feedback necessary to properly understand the release., • Collaborate at Scale: Work within a large, multi-disciplinary codebase to ensure seamless integration between planning, motion, and controls teams. What we're looking for: • Extensive experience building production-grade applications, tools, and pipelines using Python., • Comfortable navigating and contributing to large, complex codebases where modularity and documentation are key., • Proven track record of delivering software in a production environment, including familiarity with CI/CD, version control at scale, and rigorous release cycles., • Curious about data and possess the ability to extract meaningful patterns from noisy, high-dimensional datasets., • Passionate about a driverless future and understand the high stakes of deploying software that interacts with the physical world. Bonus Points(not required): • Experience with C++ in a Linux environment., • Familiarity with Machine Learning frameworks or Large Language Model (LLM) integration., • Background in robotics middleware (ROS, DDS) or autonomous systems. We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$149,000—$198,500 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job DescriptionAbout Merlin: Merlin is a venture backed aerospace startup building a non-human pilot to enable both reduced crew and uncrewed flight. Backed by some of the world’s leading investors, Merlin is scaling alongside our customers to begin leveraging autonomy today to solve some of aviation’s biggest challenges.About you: We are seeking a Senior Platform Infrastructure Engineer to design and operate the compute and virtualization backbone that supports HIL, AIR, and SIL environments. This role owns the implementation and operational stability of the simulation execution substrate including hypervisors, virtual machines, containerization, CI pipelines, and artifact management. Responsibilities:1. Simulation Compute Architecture * Design and manage high-performance compute infrastructure (e.g., Proxmox or equivalent hypervisor environments) * Define VM topology standards for virtual test environments * Implement reproducible image and deployment strategies 2. CI/CD & Automation * Build and maintain CI/CD pipelines for simulation artifacts * Ensure deterministic and traceable builds for runtime models and routing software * Automate deployment into SIL and HIL environments 3. Configuration & Version Discipline * Implement artifact versioning and compatibility tracking * Maintain structured configuration management across aircraft variants * Partner with Simulation Platform engineers to enforce schema and interface validation 4. Reliability & Observability * Implement logging, monitoring, and system health visibility for simulation environments * Improve toolchain reliability and reduce infrastructure-related breakage Required Qualifications: * 7+ years of experience in infrastructure engineering, DevOps, or platform engineering * Experience designing virtualization or container-based execution environments * Strong proficiency in Linux systems, Python, and/or C++ * Experience implementing CI/CD pipelines in engineering-heavy environments * Experience working with distributed or multi-component systems Preferred Qualifications: * Experience supporting simulation or autonomy validation environments * Familiarity with HIL/SIL environments * Experience in safety-critical or regulated industries This position is based on-site at Merlin HQ in Boston, MA. Once you’re here, you’ll enjoy a variety of on-site perks designed to make your workday enjoyable and convenient. These include catered lunches featuring a rotating menu of delicious options, an assortment of snacks to keep you fueled throughout the day, and a selection of beverages, including coffee, tea, and other drinks, to keep you refreshed. Our goal is to create an environment where you can thrive both professionally and personally Merlin Labs offers an innovative, entrepreneurial, and team-focused startup environment. We also offer a top-notch benefits package (health, dental, life, unlimited vacation, and 401k with match) and work/life integration. Being part of the Merlin team allows you to become part of a small team that supports professional development while working together to achieve our mission. Merlin Labs is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, genetic information, sex (including pregnancy), gender, gender identity and expression, sexual orientation, age, marital status, military service or obligation or disability status, or any other characteristic protected by law. All job offers are contingent upon the candidate passing background and reference checks. At this time, we are unable to provide visa sponsorship or consider candidates who require visa transfers. Applicants must be authorized to work in the United States without the need for visa sponsorship now or in the future. 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 form upon hire. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to: Merlin Labs does not accept unsolicited resumes from any source other than directly from candidates.

Job Description About the Team: The Sensors Division at STR focuses on technology development for advanced sensor systems and platforms in support of national security. We have a particular focus on airborne/surface/space-based radar, electronic warfare, underwater acoustics, hyperspectral imaging, and EO/IR sensing. We work on full system prototypes, experiment campaigns, and next generation technology components. Specific technical areas include RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, tracking/fusion, autonomous systems, as well as real-time embedded processor implementation. The Systems Autonomy, Analysis, and Modeling (SAAM) Group within the Sensors Division uses modeling and simulation (M&S) to analyze system capabilities, develop enabling algorithms, and take these integrated systems through test. We focus on the capabilities and limitations of ground, air, surface, and space sensing and counter-sensing platforms and the resource management of these assets to assure the survivability of US air and space assets. SAAM also leverages the emerging use of autonomy and Artificial Intelligence in uncrewed systems and techniques to collect, fuse, and understand sensor data across full systems of systems to assure mission success. SAAM is developing software and hardware tools and datasets to support these analyses, including algorithms, processing chains, and scenarios to inform and deploy onto both prototype demonstration systems & operational systems. Our main customer focus is on Air Force, Navy, and DARPA research programs. The Role: The SAAM group is seeking a Software Engineer to join high-performing teams transforming advanced concepts and algorithms into software implementations for prototypes and operational systems. You will work with scientists and engineers to design and implement algorithmic solutions to challenging national security problems. You will be responsible for enhancing the software architecture required to implement advanced algorithms in real-time hardware. You will also contribute to the development of engineer-facing tools and processes to facilitate long-term software development. What you will do: • Collaboration: work as part of a small, focused team to implement and test real-time applications featuring open architecture software principles, • System Development: leverage mature hardware systems and develop code to integrate them together, collaborating with SMEs across STR to leverage advanced algorithms where needed, • System Test: work closely with test leads in the SAAM group to leverage testing capabilities across M&S and live test, leveraging Live-Virtual-Constructive (LVC) infrastructure, • Self-motivated with demonstrated ability to excel under limited guidance, • Strong object-oriented programming skills in modern C++, • Proficient in test-driven development and CI/CD practices, • Experience with cross-platform development (Windows, Linux, iOS) and version control workflows, • Proficiency in MATLAB and/or Python, • BS with 2+ years experience or MS in Computer Science, Computer Engineering, Applied Mathematics, Electrical Engineering, or related field, • Active Secret or Top Secret security clearance, • 2+ years of experience with open architecture systems such as OMS/UCI and A-GRA, • Experience with radar or EO/IR systems, • Familiarity with real-time algorithm optimization, especially for radar or remote sensing applications The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.

Job Description About the Team: The Sensors Division at STR focuses on technology development for advanced sensor systems and platforms in support of national security. We have a particular focus on airborne/surface/space-based radar, electronic warfare, underwater acoustics, hyperspectral imaging, and EO/IR sensing. We work on full system prototypes, experiment campaigns, and next generation technology components. Specific technical areas include RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, tracking/fusion, autonomous systems, as well as real-time embedded processor implementation. The Systems Autonomy, Analysis, and Modeling (SAAM) Group within the Sensors Division uses modeling and simulation (M&S) to analyze system capabilities, develop enabling algorithms, and take these integrated systems through test. We focus on the capabilities and limitations of ground, air, surface, and space sensing and counter-sensing platforms and the resource management of these assets to assure the survivability of US air and space assets. SAAM also leverages the emerging use of autonomy and Artificial Intelligence in uncrewed systems and techniques to collect, fuse, and understand sensor data across full systems of systems to assure mission success. SAAM is developing software and hardware tools and datasets to support these analyses, including algorithms, processing chains, and scenarios to inform and deploy onto both prototype demonstration systems & operational systems. Our main customer focus is on Air Force, Navy, and DARPA research programs. The Role: The SAAM group is seeking a Senior Software Engineer to join high-performing teams transforming advanced concepts and algorithms into software implementations for prototypes and operational systems. You will work with scientists and engineers to design and implement algorithmic solutions to challenging national security problems. You will be responsible for enhancing the software architecture required to implement advanced algorithms in real-time hardware. You will also contribute to the development of engineer-facing tools and processes to facilitate long-term software development. What you will do: • Collaboration: work as part of a small, focused team to implement and test real-time applications featuring open architecture software principles, • System Development: leverage mature hardware systems and develop code to integrate them together, collaborating with SMEs across STR to leverage advanced algorithms where needed, • System Test: work closely with test leads in the SAAM group to leverage testing capabilities across M&S and live test, leveraging Live-Virtual-Constructive (LVC) infrastructure, • Self-motivated with demonstrated ability to excel under limited guidance, • Strong object-oriented programming skills in modern C++, • Proficient in test-driven development and CI/CD practices, • Experience with cross-platform development (Windows, Linux, iOS) and version control workflows, • Proficiency in MATLAB and/or Python, • BS with 5+ years experience or MS with 3+ years experience in Computer Science, Computer Engineering, Applied Mathematics, Electrical Engineering, or related field, • Active Secret or Top Secret security clearance, • 2+ years of experience with open architecture systems such as OMS/UCI and A-GRA, • Experience with radar or EO/IR systems, • Familiarity with real-time algorithm optimization, especially for radar or remote sensing applications The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.

Job DescriptionAt WHOOP, we are on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. We are seeking a Senior Data Platform Engineer to build and evolve the foundational infrastructure that powers our data platform, lakehouse, and real-time data systems. In this role, you will partner closely with data engineers, ML platform engineers, software engineers, and data scientists to design, develop, and operate the core services and workflows that enable reliable, scalable, and efficient data movement across the organization. As a senior individual contributor, you will own critical parts of the platform end to end - from architecture and implementation to reliability, observability, and operational excellence. You will help shape the technical direction of WHOOP’s data ecosystem, improve developer experience for internal data consumers, and ensure our systems can support analytics, machine learning, and product innovation at scale.This role requires a strong ownership mindset, the ability to operate with minimal guidance, and a focus on delivering production grade systems. You are also expected to actively leverage AI assisted development tools to improve speed, quality, and maintainability, and to help set the standard for effective AI usage across the team. RESPONSIBILITES: * Design, build, and operate the core infrastructure and services that power WHOOP’s data platform, including lakehouse, warehouse, and streaming systems. * Improve the performance, reliability, and cost efficiency of our data systems, including Iceberg, Snowflake, and AWS-based data infrastructure. * Build and enhance internal tooling, APIs, and automation that improve platform usability and developer experience for data engineers, analysts, and data scientists. * Lead platform engineering best practices across CI/CD, infrastructure as code, testing, deployments, and operational readiness. * Strengthen observability and operational excellence through monitoring, alerting, incident response, and continuous improvement of production systems. * Partner cross-functionally with Data Science, Analytics, ML Platform, and Software Engineering teams to support scalable and efficient data workflows. * Drive best practices for data architecture, pipeline design, governance, and platform usage across the company. * Leverage AI tools to accelerate development, improve code quality, and enhance debugging and documentation workflows QUALIFICATIONS: * 5+ years of experience in data engineering, platform engineering, or software engineering with significant ownership of production data systems. * Strong proficiency in Python and SQL. Java experience is nice to have. * Experience designing and operating scalable data platforms, pipelines, or distributed data systems in production environments. * Hands-on experience with Snowflake and modern cloud data infrastructure. * Experience with AWS services such as S3, EKS, EMR, EC2, or related cloud-native infrastructure. * Experience with orchestration frameworks such as Airflow or Prefect. * Strong understanding of CI/CD, infrastructure as code, and DevOps practices for data platforms. * Ability to independently drive technical projects and own systems end to end with a high degree of autonomy. * Strong communication and collaboration skills, with the ability to work effectively across engineering and data teams. * Commitment to leveraging AI-assisted development tools thoughtfully and effectively, while maintaining a high bar for engineering quality. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $150,000-$215,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements. Learn more about WHOOP.

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. Why You Should Join the PLS (Profiles, Lists and Segments) Team: The PLS team is responsible for building and scaling the core customer data experiences at Klaviyo — profiles, lists, and real-time segments. We own the tools that let customers understand who their users are, group them into meaningful audiences, and keep those audiences up to date as new data flows in. Our work underpins how customers target, personalize, and measure every message they send, making this product area core to Klaviyo's continued success. As a Senior Software Engineer on the team, you'll play a key role in designing and building scalable systems that power how customers manage and activate their data. Partnering closely with product managers, data scientists, and other platform teams, you'll help define scope, translate complex data and UX problems into practical implementations, and build intuitive workflows that give customers confidence in their audiences. This role leans frontend, with a strong focus on crafting thoughtful, reusable components and seamless user experiences using technologies like TypeScript, React, Python, and Django. There are ample opportunities for growth given the scope of this role and the team's central role in Klaviyo's product. How You Will Make a Difference: • You will be a core member of the PLS team, working on impactful customer-facing features that will make our product the best in the industry., • You will work on creating easy-to-use editors that are highly performant., • You will work closely with Product, Design, and Data Science to provide the best experience for our customers., • 5+ years of experience in full-stack development with strong hands-on skills in React, Redux, JavaScript, HTML, and CSS, along with familiarity with general web best practices., • Has a track record of delivering and shipping work powered by or accelerated through AI., • Experience conducting code reviews and running a robust testing cycle using automated testing practices and frameworks, including end-to-end and integration tests (e.g., cypress, pytest)., • Experienced with RESTful and GraphQL APIs, and evolving APIs and data models to support product success., • You take ownership of your work—from requirements and edge cases to implementation and testing—and are motivated by solving tough problems with others., • React, TypeScript, Redux, • Python, Django, • Amazon Web Services (EC2, RDS, Aurora, S3, etc.), Terraform, and other DevOps tools, • MySQL, RabbitMQ, Redis, ProxySQL We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$148,000—$222,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job Description Flexcompute is the physics company. We scale first-principles physics into neural physics foundation models to redefine the boundaries of industrial simulation and design. Our core technology features the world’s fastest GPU solvers, delivering orders-of-magnitude speedups over traditional tools. By integrating these solvers with our proprietary AI models, we enable engineers to explore design spaces that were previously computationally inaccessible. At Flexcompute, we don’t just make simulations faster; we make the “impossible” solvable, helping our partners tackle the most critical challenges in 3D-IC design, aerospace, and beyond. About the Role We need someone who will put Tidy3D in front of every photonics researcher, professor, and grad student in the country. This is a hands-on, high-travel, high-visibility role. You'll spend most of your time presenting - giving talks at CLEO and Photonics West, running live simulation demos at university labs, teaching workshops where students build their first ring resonator in Tidy3D, and sitting down with professors to show them why this belongs in their syllabus. You are not managing a team or writing strategy decks. You are the person in the room making the product click for people. You'll demo, teach, troubleshoot, write tutorials, record walkthroughs, answer questions on forums, and fly to the next campus. If a professor emails asking how to set up a grating coupler simulation for their photonics course, that's your inbox. You'll start in photonics and EM, but as we expand into multi-physics (thermal, structural, RF), the scope grows with you. This is a remote position based in the US or Canada. Expect frequent travel - 30-50% of your time will be at conferences, campuses, and research labs. We have an office in the Boston area if you prefer a home base. What You'll Do Present and Teach • Give talks, demos, and workshops at conferences (CLEO, Photonics West, IEEE Photonics, OFC, SPIE), universities, and company R&D groups, • Run hands-on sessions where researchers go from zero to a working Tidy3D simulation, • Visit university photonics, EE, and physics departments to demonstrate the platform to professors, postdocs, and grad students, • Present at seminars, lab meetings, and departmental colloquia Create Content • Write tutorials, example notebooks, and application notes (silicon photonics, optical interconnects, metasurfaces, waveguide design, etc.), • Record video walkthroughs and short-form demos, • Build course-ready materials that professors can drop into their syllabi, • Write blog posts, technical notes, and social content that drive awareness Build Community • Become the face of Tidy3D in the academic photonics community, • Grow a base of student users, faculty champions, and research group adopters, • Engage on forums, GitHub, social media - wherever users have questions, • PhD or Masters in photonics, optics, electrical engineering, or a closely related field, • You can explain the difference between TE and TM modes, design a directional coupler, and discuss dispersion engineering without checking your notes. You've worked with electromagnetic simulation in your own research., • Fluent in Python - You can write and debug simulation scripts live in front of an audience. You've used Jupyter notebooks for research. You can walk a student through their first API call., • Hands-on photonic simulation experience - You've designed and simulated photonic devices - waveguides, resonators, couplers, gratings, or similar. You've used tools like Lumerical, COMSOL, Ansys HFSS, RSoft, Meep, or similar, and you understand FDTD, FEM, or eigenmode solvers at a working level, not just conceptually., • A natural presenter - You're the person who volunteered to give the group meeting talk. You enjoy being in front of a room. You can make a complex topic accessible without dumbing it down. People leave your talks wanting to try the thing you showed them., • Energized by travel - Conferences, campus visits, and lab tours are the parts of the job you look forward to, not the parts you tolerate. You see face time as the highest-leverage activity., • Self-directed - Nobody is going to hand you a list of universities to visit or talks to submit. You'll identify the opportunities, pitch the abstracts, book the travel, and show up prepared. You thrive with autonomy. Nice to Have • Experience in technical evangelism, developer relations, or academic outreach, • Existing relationships within university photonics/EE departments, • Background in silicon photonics, optical interconnects, or AI datacenter architecture, • Experience with Tidy3D, • Published research using electromagnetic simulation, • Experience creating video tutorials or technical content, • Familiarity with agentic AI, LLM-based tools, or AI-assisted design workflows, • Experience with multi-physics simulation (thermal, structural, RF)What We Offer, • A leadership role at the intersection of AI and photonics, two of the fastest-moving fields in tech, • A clear growth path as we expand into multi-physics products and new academic markets, • The chance to become the most recognized name in photonics simulation education, • A team of deeply technical people who care about getting this right, • The chance to shape how an entire generation of engineers learns to work with AI-driven simulation, • A team that is serious about its mission to advance science and technology education, • A collaborative, technically deep culture that values curiosity and initiative If you read this and thought "this is exactly what I want to do," we want to hear from you. Benefits • Competitive compensation with equity of a fast-growing startup., • Medical, dental, and vision health insurance., • 401(k) Contribution., • Gym allowance., • Friendly, thoughtful, and intelligent coworkers.

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. Why You Should Join the Email Platforms Team: The Email Platforms team at Klaviyo is building the next generation of infrastructure to support reliable, scalable, and performant email delivery. Our mission is to help Klaviyo reach enterprise scale by evolving and owning our email sending pipeline end-to-end. We're investing heavily in our homegrown email delivery infrastructure, giving us greater control, performance, and reliability in how we deliver emails for some of the largest brands in the world. You'll join a high-impact, high-ownership team tackling technical challenges around high-throughput systems, distributed messaging, and service performance at scale. Our work directly impacts customer satisfaction and business success. If you're excited about email infrastructure, systems design, and high-scale backend development in Go, this is the role for you. How You Will Make a Difference: • Own and drive key components of the email pipeline architecture, • Design and implement scalable, high-throughput services in Go, • Develop systems that manage message queues and email delivery, • Help ensure our systems scale with customer growth, especially as we bring on larger enterprise accounts, • Collaborate cross-functionally to ensure the highest standards of performance, reliability, and deliverability, • Senior-level backend engineer with strong systems design skills, • Proficient in Go (required). experience with Python is a plusExperienced working with high-throughput distributed systems, • Familiar with message queues (e.g., Pulsar, Kafka, RabbitMQ, SQS), • Bonus: Experience with email infrastructure, MTAs, deliverability, or mailops, • Comfortable working independently on projects from design through production, • Able to thrive in a mostly remote team and deliver in a high-autonomy environment, • Languages: Go, Python, • Messaging: Pulsar, Kafka, other message queues, • Email Systems: MTA's (GreenArrow), Proxy servers, email deliverability tools, monitoring tools We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$148,000—$222,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. Team overview The Core Infrastructure – Identity & Organizations (Core IO) pillar owns the foundational substrate for identity, access, organizations, and platform integrity at Klaviyo. We manage the critical path of the user journey from login, to enforcing permissions, to operating within the correct organization and regional context so that the rest of the platform can move fast and stay secure. Within Core IO, the Identity & Access Management (IAM) team builds and operates Klaviyo's centralized authentication and authorization platform for both humans and machines. We power login, SSO, MFA, SCIM, internal service auth, and external API auth, and we are in the middle of transforming Klaviyo's identity stack into a unified, enterprise-grade platform. Why this role is exciting • Shape Klaviyo's identity platform: You'll help design and build the services that every product team and customer relies on login, sessions, permissions, and secure service APIs are all on your roadmap., • High-leverage, platform-level impact: Your work will directly affect engineering velocity (auth as a shared service), Enterprise deal wins (SSO/SCIM/RBAC/ReBAC), and Data Residency (region-aware auth flows)., • Own features end-to-end across design, implementation, rollout, and observability for core authN/Z capabilities such as login flows, MFA, SSO enhancements, SCIM, sessions, and role/permission enforcement., • Contribute to auth platform extraction: Help move authentication and authorization paths out of the legacy monolith into dedicated micro services, including token verification, API key services, and internal service auth behind Kong and IdP platform., • Build and maintain shared SDKs and contracts that let internal teams adopt IAM services quickly (OAuth, machine auth, org-scoped authZ), making "secure by default" the simplest option for new surfaces and agents., • Collaborate with Organizations & Accounts to support org-scoped identity, multi-account SSO, and flexible org/account models that underpin enterprise experiences and cross-account analytics., • Partner with Platform Integrity & Protection (PAA), Security, and Compliance on secure patterns for account protection (MFA, recovery, device/session risk), ensuring IAM is a strong foundation for account security and anti-abuse controls., • Improve reliability and performance of IAM services by instrumenting metrics and alerts, debugging production issues, and contributing to on-call rotations and incident reviews., • Experienced systems builder: You have 2-5+ years of professional software engineering experience, including building and operating backend or full-stack services in production., • Strong fundamentals & debugging skills: You are comfortable reasoning about data models, API design, concurrency, and failure modes, and you can dig through logs, metrics, and traces to identify root causes and implement systemic fixes., • Security & identity motivated: You're excited by authentication, authorization, and account security problems and want to deepen your expertise in areas like MFA, SSO, SCIM, OAuth, and roles/permissions., • Platform/infra mindset: You like building reusable services and tools that other engineers rely on, including libraries, SDKs, and patterns that raise the floor for quality and security across the org., • Ownership & collaboration: You take responsibility for outcomes, not just code. You're comfortable driving a small project or component, coordinating with partner teams, and communicating trade-offs clearly in design docs and PRs., • You've already experimented with AI in work or personal projects, and you're excited to dive in and learn fast. You're hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.Minimum qualifications, • 2-5+ years of professional software engineering experience., • Proficiency in at least one of Python, Go, or TypeScript/JavaScript, and comfort working on backend and/or service-oriented systems., • Experience building or operating web services or APIs backed by relational databases and/or caches (e.g., MySQL, Postgres, Redis)., • Familiarity with authentication or authorization concepts (sessions, tokens, OAuth, SSO, MFA, RBAC) and an interest in going much deeper., • Building or integrating with IdPs and identity protocols (SAML/OIDC, enterprise SSO, SCIM, OAuth, API key management)., • Working with cloud-native infrastructure (AWS, Kubernetes, Terraform, Kong, or similar API gateways and service meshes)., • Experience with high-scale distributed systems or performance-sensitive services where availability and latency targets matter (e.g., auth endpoints, org lookups, internal service auth)., • Familiarity with observability stacks (Grafana, Datadog/Splunk, internal metrics/logging frameworks) and using them to drive reliability improvements., • Languages & frameworks: Python, Django, Go, TypeScript/React., • Identity & access: OAuth, API keys, SSO, SCIM, MFA, roles & permissions, internal service auth SDKs. We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$116,000—$174,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job Description About SimpliSafe We're a high-tech home security company passionate about protecting the life you've built and our mission to keep Every Home Secure. And we've created a culture here that cares just as deeply about the career you're building. Ours is a no-ego culture of collaboration and innovation where those seeking their next challenge can find big opportunities and make a huge impact on the lives of all those whom we protect. We don't just want you to work here. We want you to grow and thrive here. Why are we hiring? We are a rapidly growing and successful company seeking smart, talented, and humble individuals who share our values. Join us in our mission to disrupt the home security space and relentlessly pursue our goal to keep Every Home Secure. What You'll Do At SimpliSafe, corporate IT is part of the Information Security and Technology (IS&T) team, led by our Chief Information Security Officer (CISO). IT does more than fix laptops—we empower every team member to do their best work and make sure SimpliSafers feel supported, connected, and confident in their technology. We're looking for a Staff IAM Engineer to join our IT team in Boston, Massachusetts. In this role, you'll report to our Manager, IS&T, and: • Own and evolve SimpliSafe's Okta environment and identity strategy, serving as the go-to expert on all things IAM., • Partner with Security, Engineering, and HR to build scalable access governance and lifecycle automation. Primary responsibilities include: • Defining and driving SimpliSafe's IAM strategy across the enterprise, including identity governance, access management, and zero trust principles., • Serving as the internal subject matter expert on all things identity — Okta, SSO, MFA, lifecycle management, and directory services., • Developing a roadmap for IAM maturity, identifying gaps, prioritizing investments, and aligning with security and compliance objectives., • Owning the design, configuration, and optimization of our Okta environment, including SSO integrations, MFA policies, adaptive authentication, and lifecycle automation., • Building and maintaining Okta Workflows to automate provisioning, deprovisioning, and access reviews across SaaS, cloud, and on-prem systems., • Designing and enforcing RBAC and least-privilege principles across our application and infrastructure landscape., • Leading access certification and review programs, working with IT, Security, and HR to ensure accurate and timely access decisions., • Owning integrations between identity systems and HR platforms to support joiner/mover/leaver processes., • Supporting audit and compliance activities (e.g., SOC 2, ISO 27001) by maintaining robust IAM controls and evidence., • 8+ years of experience in identity and access management, with deep hands-on expertise in Okta (Okta Certified Professional or Administrator certification strongly preferred)., • Proven experience architecting and managing enterprise IAM programs, not just operating tooling., • Strong technical skills across SSO (SAML, OIDC/OAuth), MFA, directory services (Active Directory, LDAP), and SCIM-based provisioning., • Experience with lifecycle management automation, including HR-to-IT integrations and joiner/mover/leaver workflows., • Familiarity with PAM solutions (e.g., CyberArk, BeyondTrust, or similar) and privileged access controls., • Experience supporting security frameworks and audits (SOC 2, ISO 27001, or similar)., • Ability to translate business and security requirements into practical IAM architecture and policy., • Experience with Okta Privileged Access or Okta Identity Governance (OIG)., • Familiarity with IGA platforms such as SailPoint or Saviynt., • Experience with AWS IAM and cloud identity patterns (federated roles, workload identity)., • Exposure to zero-trust network access (ZTNA) architectures and their relationship to identity., • Scripting or automation experience (Python, PowerShell, or similar) for identity lifecycle tasks., • Customer Obsessed - Building deep empathy for our customers, putting them at the core of our work, and developing strong, long-term relationships with them., • Aim High - Always challenging ourselves and others to raise the bar., • No Ego - Maintaining a "no job too small" attitude, and an open, inclusive and humble style., • One Team - Taking a highly collaborative approach to achieving success., • Lift As We Climb - Investing in developing others and helping others around us succeed., • A mission- and values-driven culture and a safe, inclusive environment where you can build, grow and thrive, • A comprehensive total rewards package that supports your wellness and provides security for SimpliSafers and their families (For more information on our total rewards please click here), • Free SimpliSafe system and professional monitoring for your home. This target annual base pay range represents our good-faith estimate of what we expect to pay for this role. We use a market-based compensation approach to set our target annual base pay ranges and make adjustments annually. We carefully tailor individual compensation packages, including base pay, taking into consideration employees' job-related skills, experience, qualifications, work location, and other relevant business factors. Beyond base pay, we offer a Total Rewards package that may include participation in our annual bonus program, equity, and other forms of compensation, in addition to a full range of medical, retirement, and lifestyle benefits. More details can be found here. We're committed to fair and equitable pay practices, as well as pay transparency. We regularly review our programs to ensure they remain competitive and aligned with our values. We wholeheartedly embrace and actively seek applications from all individuals, no matter how they identify. We are committed to cultivating a diverse and inclusive workplace, and we believe our work is enriched when we incorporate a multitude of perspectives, backgrounds, and experiences. We want everyone who works here to thrive and contribute to not only our mission of keeping every home secure, but also to making our workplace safe and supportive for others. If a reasonable accommodation may be needed to fully participate in the job application or interview process, to perform the essential functions of a position, or to receive other benefits and privileges of employment, please contact .

Job Description We're quickly growing and super excited for you to join us! About Topsort At Topsort, we believe in the mission of democratizing the secret technologies of the walled gardens and creating a privacy-first cookie-free world of clean advertising with modern tech, friendly products, and AI. We believe in making advertising intuitive, intelligent, and genuinely cool, without any of the creepy ads or cookie-obsession (well, maybe just the chocolate ones). In a rapidly changing industry, we're on a mission to democratize monetization access for all and ensure that advertising doesn't leave any brand or seller feeling confused or overwhelmed Today, Topsort has 6 major hubs worldwide, and employees in 13+ countries, including Menlo Park, Boston, Santiago Chile, São Paulo Brazil, Barcelona Spain, and Sydney Australia. We are a truly global company that was born in the pandemic that's had rapid growth since out of a genius product, a customer-first mentality, and a hardworking team of talented individuals. Since our founding in 2021, we've gained customers in retail, marketplaces, and delivery apps in 40+ countries and quickly approaching the #1 position in the industry. Do you enjoy a fast-paced environment? Do you like seeing your work create real-time impact, being part of a rocket ship from the very beginning? Let's do the unimaginable - let's make ads clean and cool again, with AI and modern technology. Why Topsort? Why now? Topsort is changing the way Retail Media works. By joining our scaling team, you'll feel your impact from day 1. The processes and messaging you build today will be a critical part of our foundation as we accelerate toward 200 Topsorters worldwide, and your innovations will leave a lasting mark on the industry, as a whole. Retail Media is on the verge of a new era, and Topsort is gathering the ecosystem together to shape a brighter future. Joining us now, you'll work directly alongside our co-founders and founding members to bring on Retail Media 3.0. If you're looking to define your career as something greater than yourself, come scale with us. What it's like to work at Topsort Our team is all about straightforward communication, embracing feedback without taking it personally, and fostering a super collaborative environment. It's a sports team that's hyper focused on winning, collaborative internally, and competitive externally - never the other way around. We thrive on working in the open, lifting each other up, and getting things done with a sense of urgency. We're the kind of team that loves making bold choices, sharing extraordinary opinions, and maintaining a 100 mph pace. No endless meetings here – if it can be done today, we're all about getting it done today. What is this role like? We are looking for a highly analytical Product Analyst with a builder's mindset to join our team. In this role, you won't just report numbers; you will be the bridge between complex data possibilities and real product value. You'll thrive here if you have a strong mathematical foundation, sharp product instincts, and the technical toolkit to deep-dive into datasets to uncover the "why" behind performance. We value intellectual curiosity and the ability to solve puzzles in a fast-paced environment. In this role, you will: * Drive Data Discovery: Use SQL and Python to navigate large datasets, identifying patterns and opportunities that drive product growth. * Master the Metrics: Interpret and refine KPIs with a clear understanding of statistical significance and expected targets. * Technical Advocacy: Act as a trusted advisor to both internal teams and external clients, translating complex technical insights into actionable product strategies. * Shape the Product: Work closely with Engineering and Product teams to ensure our data-driven culture is reflected in every feature we launch. * Visualization & Storytelling: Transform complex requirements into intuitive dashboards and visualizations that simplify decision-making. What (we think) you need to be successful We are looking for outlier candidates who are passionate about data and problem-solving. Whether you are an experienced professional or a high-potential talent from a rigorous academic background, we want to hear from you. * Analytical Rigor: A strong background in a quantitative field (such as Engineering, Math, Physics, Economics, or Computer Science) is highly valued. * Technical Toolkit: Proficiency in SQL is essential. Experience with Python for data analysis and statistical modeling is a significant plus. * Problem-Solving Instincts: Ability to think from first principles and handle ambiguity with a structured, logical approach. * Communication & Stakeholder Management: Exceptional ability to communicate technical concepts to both technical and non-technical audiences in Advanced/Fluent English. * Data Visualization: Familiarity with BI tools (Metabase is a plus) and a knack for creating clear, impactful reports. * Client-Facing Mindset: Comfort in dealing with external stakeholders and a proactive attitude toward solving their challenges. What We Value At Topsort, we seek professionals who embody the following qualities to drive our mission forward: • Deep dive into details: Professionals who are not content with superficial answers and dive deeply into the details to uncover root causes and optimal solutions., • Team first: A low need for individual recognition, always prioritizing collective results over personal credit., • You thrive with ambiguity: Exceptional ability to tackle open-ended problems in unstructured environments, turning chaos into structured innovation., • Adaptability: Willingness to learn, mentor, lead, and follow as the situation demands, fostering growth at all levels., • Urgency: A disproportionate sense of urgency in execution, while keeping scalability and the creation of replicable processes in mind to ensure long-term success.

Job DescriptionCompany Description Are you ready to trade your job for a journey? Become a FlyMate! Passion, excitement & global collaboration are all core to what it means to be a FlyMate. At Flywire, we’re on a mission to deliver the world’s most important and complex payments. We use our Flywire Advantage - the combination of our next-gen payments platform, proprietary payment network and vertical specific software, to help our clients get paid, and help their customers pay with ease - no matter where they are in the world. What more do we need to truly be unstoppable? Perhaps, that is you! Who we are: Flywire is a global payments enablement and software company, founded more than a decade ago to solve high-stakes, high-value payments. We’ve scaled into new regions and industry verticals and expanded our product offerings to deliver meaningful value to our clients around the world. Today we support more than 5,100 clients across the global education, healthcare, travel & B2B industries, with diverse payment methods across 240 countries & territories and more than 140 currencies. With over 1,400+ global FlyMates, representing more than 40 nationalities, and in 15 offices world-wide, we’re looking for FlyMates to join the next stage of our journey as we continue to grow. Job Description The Opportunity: We are looking for a driven and experienced Finance/FP&A Manager to join our team and act as a strategic finance partner to our Sales organization. This is a unique opportunity to sit at the intersection of finance, commercial strategy, and execution, with the opportunity to influence revenue growth, pricing decisions, and go-to-market performance. You will partner closely with Sales, Marketing, Investor Relations, and Analytics to drive insights, challenge assumptions, and help leadership make better, faster decisions.This position will be part of the Business Unit FP&A team reporting into the head of Business Unit FP&A. They will be responsible for forecasting Payment Volume, Revenue, Cost of Sales, and Gross Profit along with performing regular analysis, reporting, and will work closely with senior leadership to ensure accurate and timely reporting of financial performance. What we are looking for: • Strong business and financial acumen, excellent analytical and strategic planning skills, and the ability to communicate complex financial information in a clear answer concise way, • Ability to manage and understand business and operational metrics and KPIs, and establish linkage to financial and strategic outcomes, • Background in predictive modeling of complex metrics and financials, balancing the science and art of forecasting, and driving actionable results through foresight and insights from forecasting data, • Strong project management skills and demonstrated ability to lead complex cross-functional initiatives across a breadth of stakeholders, • Own and manage the end-to-end revenue forecasting process, including development of the annual budget, quarterly forecasts (QBRs), and long-range strategic plans (LRP) based on key business drivers (e.g., customer churn, net retention rate, volume metrics), • Proactive, strategic thinker, self starter/motivator with ability to communicate effectively with executive management, • Conduct in-depth variance analysis (actuals vs. budget/forecast) for revenue and key performance indicators (KPIs), identifying trends and providing actionable insights to executive leadership on performance drivers., • Develop and maintain complex financial models (specifically volume based transaction & SaaS) to support strategic decision-making and business cases for new initiatives or product launches., • Design and implement robust Transactional & SaaS/Subscription revenue models (e.g., based on cohorts, top clients, bookings/billings/ARR/MRR drivers) to accurately project future performance under various scenarios., • Leverage advanced data analysis tools (e.g., SQL, Python, R, Looker) to extract, manipulate, and visualize large financial datasets from disparate systems (e.g., ERP, CRM, data warehouse)., • Advanced proficiency in financial modeling in Microsoft Excel and in building presentations in Microsoft PowerPoint are required, • Advanced excel skills (macros, VBA, etc.), expertise in financial systems such as Net Suite and Adaptive., • Drive process efficiency by identifying and automating repetitive reporting tasks and financial model updates using tools like VBA, Python scripts, AI (Claude Cowork/Code, Gemini, Codex) Qualifications Here's What We're looking for: • Undergraduate degree in Finance, Accounting or related field is required; MBA and CPA strongly desired, • 8+ years of finance experience with management experience inclusive of finance leadership roles and finance expertise, • Experience building revenue forecast models that leverage large data sets, • Outstanding leadership, communication (oral and written) and interpersonal skills. Proven as an experienced, confident and mature manager and business partner, • Experience and/or genuine interest in AI Tools - specifically around scaling and automation of forecasting processes, • Demonstrated ability to effectively manage and execute across complex functional requirements and global business structure, • Highly organized and detail-oriented, as well as able to manage multiple projects simultaneously., • Exceptional analytical, problem solving and critical thinking skills Additional Information What We Offer: • Competitive compensation, • Employee Stock Purchase Plan (ESPP), • Flying Start - Our immersive Global Induction Program, • Work with brilliant people that will keep you on your toes, learn more about their journeys by checking out #InsideFlywire on social media, • Dynamic & Global Team (we have been collaborating virtually for years!), • Wellbeing Programs (Mental Health, Wellness) with Global FlyMates, • Be a meaningful part in our success - every FlyMate makes an impact, • Competitive time off including FlyBetter Days to volunteer in a cause you believe in and Digital Disconnect Days! We are excited to get to know you! Throughout our process you can expect to meet with different FlyMates including the Hiring Manager, Peers on the team, the VP of the department, and a skills assessment. Your Talent Acquisition Partner will walk you through the steps and be your “go-to” person for any questions. Flywire is an equal opportunity employer and follows a policy of administering all employment decisions and personnel actions without regard to race, color, religion, sex, pregnancy, gender identity, national origin, age, ancestry, physical or mental disability, sexual orientation, genetic disposition or carrier status, veteran status, or any other category protected under applicable national, federal, state or local law. The US base salary range for this full-time position is $105,000-$135,000 and benefits. Our salary ranges are determined by role, position level, and location. The range displayed on this job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and several other factors, including job-related skills, experience, relevant education and training. #LI-Hybrid

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. About the Role Klaviyo is looking for a Software Engineer II to join the Flows Platform team. In this role, you will help build and operate the core engine that powers all automated lifecycle programs at Klaviyo. You'll play a critical part in delivering robust, high-scale backend solutions that process billions of events, send millions of messages, and ensure our customers' automations run reliably and without delay. As a Software Engineer II, you'll tackle complex challenges, explore multiple solutions, and weigh business and technical trade-offs to determine the best path forward. You'll actively contribute to team discussions and help shape important technology decisions. You'll also be responsible for shipping well-designed, thoroughly tested solutions that prioritize reliability and performance. On the Flows Platform team, we focus on the core of Klaviyo's automation engine, ensuring that hundreds of millions of actions per day are processed accurately and efficiently to power user workflows. Our work revolves around the core backend systems that determine who receives a message and when, handling complex logic for triggering, filtering, and scheduling at massive scale. We also manage the data stores and infrastructure that support these operations, ensuring reliability while we actively re-architect our stack to support the next generation of event-driven features. We are responsible for: • Core Execution Engine: The logic for flow triggering, evaluation (filtering/branching), and action execution. We ensure that every event is processed accurately and efficiently., • Scheduling & Orchestration: Managing time-based logic, delays, and the dispatching of millions of scheduled actions per day., • 3+ years of experience in a software engineering role with a focus on backend systems and high-volume data processing., • Strong Backend proficiency: Deep experience building robust services and APIs using Python and Django (or similar frameworks)., • Distributed Systems knowledge and experience working with asynchronous task queues (e.g. Celery, RabbitMQ, Pulsar) and understanding the challenges of eventual consistency and distributed state., • Proficiency with relational databases (MySQL/Aurora) and high-scale NoSQL stores (Redis, or DynamoDB)., • A focus on writing clean, maintainable code, participating in code reviews, and leading robust testing practices (unit, integration, and load testing)., • Experience working in fast-paced environments and collaborating with other engineering teams to solve cross-functional problems., • Experience using AI coding tools like Claude Code or Cursor to accelerate development.Nice to Have, • Experience with Event-Driven Architecture and streaming technologies like Pulsar or Kafka., • Experience with Infrastructure as Code (Terraform) and container orchestration (Kubernetes)., • Experience creating technical designs for complex features or system migrations., • Background in building platforms that support other engineering teams., • Experience building cloud-native solutions, ideally on AWS We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$116,000—$174,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job Description As a member of our Professional Services team, you will assist in the building, deploying, and maintaining of critical customer applications. In this role, you will provide thought leadership and hands-on technical execution to optimize client environments and ensure robust, scalable applications. Responsible for: • Assisting in the designing and building modern and highly scalable cloud-based applications for customers, • Migrating and modernizing customer legacy applications using AWS services, • Working with Project Managers and clients to provide recommendations and technology roadmaps to meet their business needs, • Actively participating in team meetings and cross-functional interactions, • Keeping team members and supervisors informed of progress and issues, • Actively contributing to client project status meetings, • Contributing to R&D projects to validate/invalidate new services offerings, • Remaining current with technology trends and new technologies, • Proposing the latest technology usage and integration standards, • Developing and managing backend infrastructure, APIs and integrations to support cloud-based solutions, using programming languages like Python, Java, and PHP, • Participating in code reviews, document infrastructure-as-code, and assist with UI/UX, • Building out frontend interfaces and dashboards for applications and infrastructure using languages like Angular and React, • Bridging the gap between technical complexity and business objectives through adept problem-solving abilities, • Building trusting relationships with team members and collaborating departments, • Comfortable with pushing boundaries and technical limits (maintain technical aptitude and knowledge of industry), • Confidently communicating with diverse stakeholders to translate requirements into impactful outcomes, • Championing ongoing elevation of personal skills paired with knowledge transfer to teammates, • Having the ability to rapidly learn new languages, frameworks, or business domains as needed to meet the diverse needs of multiple clients Requirements of the role: • 5+ years’ experience as a cloud engineer with hands-on expertise across AWS cloud services, • Strong experience with infrastructure-as-code tools like CloudFormation, • Experience coding in multiple languages including Node.js, Python, Angular, React, .NET Core, .NET Framework, • Experience using AWS platforms including but not limited to Cognito and Amplify, • Understanding of modern app architectures in cloud environments, • Able to collaborate with cloud engineer and project management teams, • AWS Certification(s) a must have (can be obtained upon hire) - minimum requirement at 90 days is AWS Certified Developer Associates, • In-depth experience with one or more programming languages like Java, JavaScript, Python, C# used for developing cloud-native applications., • Understanding of cloud computing concepts - IaaS, PaaS, serverless, containers etc., • Working knowledge of Amazon Web Services - key services like EC2, S3, Lambda, API Gateway, ECS, Fargate, RDS etc., • Experience using AWS command line tools and SDKs to manage infrastructure as code, • Building, deploying, managing microservices applications on AWS, • Working with AWS data storage solutions like DynamoDB, NoSQL, and Aurora RDS, • Experience with containers & orchestration platforms like Docker, Kubernetes on AWS Security best practices for applications in the public cloud Additional Valuable Skills: • Experience with CI/CD pipelines and automated testing, • Building event-driven architectures on cloud platform, • Using infrastructure as code tools like CloudFormation, • Frontend JavaScript frameworks like React, • Machine learning capabilities like SageMaker, • Leveraging serverless architectures where applicable The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate’s professional experience, key skills, and education/training. 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.

Job DescriptionThe Elevator Pitch Do you get excited when a manual process disappears because you automated it? Are you someone who sees inefficiency and immediately starts thinking about how to fix it — not just once, but permanently? Do you want real ownership of your work, creative latitude to solve hard problems your way, and teammates who geek out over the same things you do? Evolv is on a mission to make public spaces safer through innovative security technology — and our IT team is a key part of how we scale that mission. You'll be joining a tight-knit team of ~8 IT and cybersecurity professionals who move fast, trust each other, and take pride in building systems that just work. As our Systems Engineer, Endpoint & Automation, you'll design, implement, and continuously improve automated IT systems and workflows across our enterprise environment — including our macOS and Windows endpoint fleet managed through Jamf Pro and Microsoft Intune. You'll reduce operational friction by automating infrastructure, identity, endpoint, and operational processes, and leverage AI‑enabled tools to improve reliability, security, and efficiency. This isn't a role where you'll wait to be told what to build. You'll be expected to spot opportunities, propose solutions, and own the outcome. If you're passionate about automation, AI, and continuously raising the bar — for yourself and the systems you build — this is your role. Success in the Role: What are performance outcomes over the first 6-12 months you will work toward completing? In the first 30 days, you will: • Get up to speed on Evolv's IT environment, systems architecture, and existing automation and tooling., • Build working relationships with teammates and key stakeholders across IT, Cybersecurity, and the business., • Contribute to active operational and engineering work from the start — you won't be waiting on the sidelines., • Identify your first opportunities to improve or automate something and share your early observations with the team. Within 3 months, you will: • Understand Evolv’s systems architecture, infrastructure, and dependencies across cloud and on‑prem environments., • Build trust with the Cybersecurity & IT team as a reliable technical contributor., • Identify manual or inefficient IT processes suitable for automation., • Begin delivering automation improvements (scripts, workflows, or tooling) that reduce operational effort., • Contribute to documentation, standards, and automation best practices. By the end of the first year, you will: • Be recognized as a key contributor to Evolv’s IT automation and systems engineering capabilities., • Have implemented multiple automated workflows that improve reliability, speed, and consistency., • Leverage AI enabled tools to enhance monitoring, troubleshooting, or decision making., • Provide forward looking recommendations to modernize IT operations through automation and intelligent systems., • Contribute to the development and implementation of AI governance controls that ensure secure, compliant, and responsible use of AI technologies across IT., • Help ensure AI‑enabled tools and automations align with Evolv’s security standards, data protection requirements, and regulatory obligations., • Translate AI governance principles into enforceable, auditable system configurations and workflows., • Operate with a proactive mindset, preventing issues through automation rather than reacting to them. The Work: What type of work will you be doing? What assignments, requirements, or skills will you be performing on a regular basis? Systems Engineering • Design, deploy, and maintain enterprise IT systems across cloud, SaaS, and hybrid environments, including endpoint management through Jamf Pro (macOS) and Microsoft Intune (Windows)., • Ensure system availability, performance, scalability, and security., • Participate in root cause analysis and implement long‑term, automated fixes., • Maintain system documentation, architecture diagrams, and operational runbooks. IT Automation Design and implement automation for: • Infrastructure provisioning and configuration, • Identity lifecycle management (joiner/mover/leaver), • Patch management and compliance, • Monitoring, alerting, and remediation, • Develop and maintain automation using scripting and orchestration tools (PowerShell, Python, APIs, workflow platforms)., • Build event‑driven and self‑service automation to reduce manual IT intervention., • Integrate automation across endpoint, identity, cloud, and security platforms., • Automate enforcement of security, compliance, and AI governance controls across IT systems., • Build workflows that validate configurations, permissions, and data usage before AI‑enabled processes execute., • Integrate governance checks into automated provisioning, monitoring, and remediation processes. AI & Intelligent IT Operations • Leverage AI‑enabled tools to improve IT operations, including:, • Automated troubleshooting and log analysis, • Anomaly detection and proactive alerting, • Intelligent recommendations for remediation, • Evaluate and adopt emerging AI technologies to automate decision‑making and reduce operational toil., • Partner with Cybersecurity to apply AI for proactive risk detection and response., • Ensure AI‑enabled operational tools are implemented in alignment with Evolv’s AI governance and security standards., • Balance innovation with risk management by embedding compliance and auditability into AI‑driven workflows., • Collaborate with Cybersecurity to monitor AI system behavior and detect misuse, drift, or anomalous activity. Monitoring, Reporting & Support • Monitor system health, performance, and automation outcomes., • Create dashboards and reports that provide operational visibility., • Serve as an escalation point for complex systems and automation issues. Required Qualifications • 5+ years of experience in systems engineering, infrastructure, or IT operations., • Strong experience with automation and scripting (PowerShell required; Python preferred)., • Experience automating enterprise IT processes and workflows., • Experience managing macOS and Windows endpoints using Jamf Pro and/or Microsoft Intune, • Solid understanding of Windows and Mac operating systems., • Experience with cloud platforms and SaaS environments., • Strong problem‑solving, analytical, and communication skills. Preferred Qualifications • Experience with AI‑driven IT operations (AIOps) or intelligent monitoring platforms., • Experience with Azure, Entra ID (Azure AD), Okta, and identity automation., • Familiarity with infrastructure‑as‑code tools (Terraform, ARM, etc.)., • Experience integrating automation with security tooling (EDR, SIEM, IAM)., • Relevant certifications (Microsoft, cloud, automation, or security)., • Experience supporting or implementing governance controls for AI, automation, or data platforms., • Familiarity with security, privacy, or compliance considerations related to AI and automation., • Experience translating policy or governance requirements into technical enforcement. What is the leadership like for this role? What is the structure and culture of the team? You will be joining a team of approximately 8 IT and cybersecurity professionals, reporting directly to the Sr. Director of Cybersecurity & Technology. This is a hands-on, collaborative team that takes quality and craft seriously. This is an individual contributor role focused on deep technical impact — your job is to make the whole team more effective through the systems and automation you build. You'll have meaningful autonomy over how you approach problems and are actively encouraged to bring creative solutions, identify improvement opportunities, and advocate for better ways of working. You'll work alongside teammates who share your drive for continuous improvement, and you'll have a manager who values initiative, trusts the team to execute, and wants to hear your ideas. Desktop support is not a core part of this role — you may occasionally be called on to help in a pinch, but your primary focus is engineering and automation. Where is the role located? This role is based out of Evolv HQ in Waltham, Massachusetts. This is a hybrid role with an expectation of 3 days per week on-site. Fully remote candidates will not be considered. Compensation and Transparency Statement The base salary range for this full-time position is $102,000-$166,000. In addition to base salary, this role offers a competitive target bonus, equity, and a comprehensive benefits package. This range reflects our commitment to pay transparency and equity, in alignment with applicable state laws. Our compensation ranges are determined based on factors such as role, level, location, market benchmarks, and internal equity. The posted range represents the good-faith estimate of what we expect to pay for this role across U.S. locations. Actual compensation within the range will be based on the candidate’s skills, experience, education, and geographic location. In accordance with state and local pay transparency laws—including those in California, Colorado, Massachusetts, New York, New Jersey, and others—we disclose salary ranges in all job postings and provide additional information upon request. During the hiring process, your recruiter will share: -The specific salary range for your preferred location -A general overview of our benefits and equity offerings -Insights into how compensation decisions are made, including factors that influence starting pay We are committed to fair pay practices, and we regularly review our compensation programs to ensure they are competitive, equitable, and aligned with our values. Benefits At Evolv, we’re on a mission to help make public spaces safer through innovative security technology. So, we're looking for future teammates who embody our values, people who: • Do the right thing, always;, • Put people first', • Own it;, • Win together; and continue to, • Be bold, stay curious. Our Benefits Include: • Equity as part of your total compensation package, • Medical, dental, and vision insurance, • Health Savings Account (HSA), • A 401(k) plan (and 2% company match), • Flexible Paid Time Off (PTO)- take the time you need to recharge, with manager approval and business needs in mind, • Quarterly stipend for perks and benefits that matter most to you, • Tuition reimbursement to support your ongoing learning and development Evolv is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. If you need a reasonable accommodation as part of the job application process, please connect with us at . Evolv participates in E-verify for all employees after the completion of Form I-9.

Job Description Trivelta builds the technology that powers modern, social-first gaming experiences. Through our proprietary sweepstakes-based sportsbook and casino engine, we enable partners to launch their own fully branded, legally compliant gaming products. Our flagship consumer app, ReBet, demonstrates the power of the Trivelta platform—combining real social interactions, predictive gameplay, and casino entertainment in one unified experience. Headquartered in Boston with operations in Monterrey, Barcelona, and Atlanta, we're scaling rapidly and building a team passionate about redefining how people play, bet, and connect online. We are looking for a Senior ML Engineer who thrives at the intersection of data science and production-grade software engineering. In this role, you won't just be "experimenting" in a vacuum; you will be responsible for taking our proprietary datasets and transforming them into high-performance, deployed models that drive core business value. You are someone who understands that a model is only as good as the data feeding it and the infrastructure supporting it. Responsibilities: • Model Implementation: Design, train, and fine-tune state-of-the-art ML models (Deep Learning, Transformers, Gradient Boosting, etc.) specifically optimized for our internal datasets., • End-to-End Pipeline Development: Build and maintain robust data pipelines and training workflows to ensure reproducible and scalable model development., • Optimization & Performance: Profile and optimize model latency and throughput for production environments., • Data Centricity: Perform deep exploratory data analysis (EDA) to identify biases, signal-to-noise ratios, and feature engineering opportunities within our unique data silos., • 5+ years of professional experience in Machine Learning or Software Engineering, with at least 3 years focused on deploying models to production., • Expert-level Python (and ideally C++ or Go for performance-critical components)., • Deep fluency in PyTorch, TensorFlow, or JAX., • Experience with SQL, Spark, and vector databases (e.g., Pinecone, Milvus)., • Familiarity with Weights & Biases, MLflow, Kubeflow, or similar orchestration tools., • Strong understanding of linear algebra, calculus, and statistics as applied to ML optimization., • Pragmatism: You prefer a simple, explainable model that works today over a complex one that stays in "Research" for six months., • Ownership: You don't just "hand off" code; you monitor your models in the wild and jump in when they drift. This position is hybrid out of our Boston HQ located next to South Station.

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. At Klaviyo, the ARIA (Applications, Resources, Intelligence, and Automations) team is building the AI systems that transform how our employees work. We are looking for a Senior AI Engineer to design, build, and scale production-grade LLM integrations and AI-powered automation tools from the ground up. This role sits at the intersection of applied AI research and full-stack software engineering. You will own everything from LLM integration architecture and RAG system design to CI/CD pipeline management and production observability. If you want to build AI that real people use at scale every day, this is the role for you. You will report into the Director of AI and App Engineering and …. How you'll make a difference: • Design and build LLM-powered applications: Architect and develop production-grade systems leveraging large language models (GPT-4, Claude, Mistral, Llama) for internal automation, knowledge retrieval, and intelligent workflow assistance., • Build and maintain AI integration pipelines: Design robust, scalable API integrations between AI models and internal systems such as HRIS, ticketing, CRM, and knowledge bases, ensuring reliability, low latency, and high availability., • Develop full-stack AI features end-to-end: Own the complete development of AI features across the stack from backend model orchestration and API layers to frontend interfaces that make AI accessible to non-technical employees., • Architect and manage CI/CD pipelines for AI systems: Build and maintain automated deployment pipelines for AI models and services, including model evaluation frameworks, A/B testing infrastructure, and safe rollout strategies., • Implement RAG and retrieval systems: Design and build retrieval-augmented generation systems grounded in Klaviyo internal knowledge, ensuring accuracy, relevance, and up-to-date responses at scale., • Evaluate and fine-tune AI models: Lead benchmarking, evaluation, and fine-tuning of foundation models for Klaviyo use cases, including prompt engineering and parameter-efficient fine-tuning techniques., • Establish AI engineering best practices: Define coding standards, testing frameworks, and architectural patterns for AI development at Klaviyo, enabling the team to ship reliable AI features consistently., • Build AI observability and monitoring tooling: Instrument AI systems with latency monitoring, output quality evaluation, hallucination detection, cost dashboards, and production alerting., • Collaborate with Product and Data Science: Work closely with PMs, data scientists, and ML engineers to translate requirements into technical implementations, maintaining a tight feedback loop between experimentation and production., • 3+ years of software engineering experience, with at least 2 years focused on building AI, ML, or LLM-powered systems in production., • Deep expertise with large language models such as OpenAI, Anthropic, Mistral, or Llama, and experience integrating them into production applications via API., • Strong full-stack engineering skills across Python (FastAPI, Flask, or Django) and TypeScript or JavaScript, with experience in modern frontend frameworks., • Proven experience designing and building CI/CD pipelines for software or ML systems using tools such as GitHub Actions, Jenkins, or CircleCI., • Experience with RAG systems, vector databases (Pinecone, Weaviate, pgvector), and embedding models., • Proficiency with cloud infrastructure (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and infrastructure-as-code tools such as Terraform or Pulumi., • Experience with prompt engineering, model evaluation frameworks, and LLM observability tools such as LangSmith or Weights and Biases. We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$112,000—$168,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job DescriptionOn Behaviors, you'll have the opportunity to work with world-class ML engineers and research scientists to make self-driving vehicles a reality and create positive social impact. Our team works on the tech stack responsible for understanding highly complex driving scenes and generating safe, comfortable driving trajectories for our robotaxi using the latest deep neural networks. We are looking for engineers who are passionate about Level 5 autonomous driving, excited by intellectual challenges, and interested in pursuing career growth with a fast growing company. What You'll Be Doing: You will be directly responsible for training, evaluation, and deployment of our ML-based scene understanding, behavior prediction, and planning models. Day to day responsibilities include: • Designing and executing high value experiments based on collaborative input from other machine learning engineers, • Prototyping and implementing continuously improving metrics to evaluate the performance of our behavioral models across many desired scenarios and robotaxi capabilities, • Timely release of major model updates, including analysis of both off-line and on-road evaluation data, • Staying up to date with the latest trends in our fast moving industry, and proposing new architectures and network designs based on published literature, • Maintaining a high quality training and evaluation code-base, including portions of our training stack dedicated to dataset generation and evaluationWhat We're Looking For:, • In-depth understanding of common Machine Learning and Deep Learning algorithms, • Experience designing, training, and analyzing neural networks for at least one of the following applications: motion planning, object detection, sensor fusion, motion prediction, and/or multi-object tracking, • Strong track record of tackling less well-defined problems, and executing efficiently to deliver the successful outcome, • Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, and testing methods, • Experience with PyTorch or other python-based deep learning frameworks, • Experience working with large data sets and deriving insights from data Bonus Points • Publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.), • PhD in machine learning, computer vision, or robotics vision, • Experience working on autonomous vehicles or related fields, • Experience in deploying models into real-world environments, • Strong programming skills in C++ and/or CUDA programming, • This opportunity can support remote work within the United States, with occasional travel.Working Conditions While performing the duties of this job, the employee is frequently required to convey and detect communication The employee occasionally required to remain stationary at times for up to 50% of working time, move in designated working areas; & operate and use office equipment The employee may occasionally move up to 50 pounds The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range $146,000 - $225,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on Twitter , LinkedIn , Instagram and YouTube . Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job DescriptionBenefits: • Health insurance, • Paid time off, • 401(k), • Competitive salary, • Dental insurance, • Opportunity for advancement, • Vision insurance About the Role The company is seeking an experienced Operations Engineer to join our engineering and infrastructure team. In this role, you will be responsible for ensuring the reliable execution of operational workflows that support our financial data platforms and services. The ideal candidate combines strong systems and scripting expertise with operational discipline and attention to detail. This role works closely with engineering teams to troubleshoot issues, maintain documentation, and improve automation across our workflow ecosystem. Key Responsibilities • Monitor and oversee the execution of scheduled operational workflows, • Troubleshoot workflow issues and escalate exceptions to the Engineering team when required, • Maintain and expand the workflow knowledge base with clear technical documentation, • Identify opportunities for automation and contribute to improving workflow efficiency and reliability, • Ensure accurate operational records and documentation are maintainedRequired Qualifications, • 10+ years of professional experience in DevOps, Site Reliability Engineering (SRE), or closely related infrastructure/platform engineering roles, • Strong proficiency with Linux operating systems in a professional environment, • General working proficiency with Windows systems, • Hands-on scripting experience with: Python, BASH and Build tools such as Make, • Experience working with relational databases and SQL, • Experience with source control and version management, including CVS and Git, • Familiarity with Windows scripting environments (Python, cmd, or PowerShell), • Portfolio holdings and transactions, • Bond and equity instruments, • Market prices and dividends, • Performance returns, • Portfolio risk metricsWhat We Offer, • Opportunity to work with sophisticated financial data platforms, • Collaboration with experienced engineering and data teams, • A technically challenging environment focused on reliability and automationCompetitive compensation and benefits Flexible work from home options available.

Job Description Mission Summary: As a seasoned expert in Perception Capabilities, you'll field cutting-edge software products and solutions using state-of-the-art computer vision and deep learning. Your breadth of experience spans critical problem areas like detection, classification, segmentation, and tracking, along with essential supporting functions such as data engines, labeling policies, training pipelines, model optimization, simulation, and testing. You're driven by seeing your work significantly impact the product, taking initiative and owning outcomes. You're eager to apply these skills to the perception stack of self-driving vehicles. You understand the unique challenges of safety-critical, open-world applications and are committed to ensuring engineering excellence and rigorous evaluation. You'll devise creative solutions to complex problems, collaborating with interdisciplinary, capability-focused teams across the organization to design, implement, and validate end-to-end solutions. What you'll be doing: • Lead the development and implementation of solutions that span across perception components and directly interface with downstream modules in the autonomy system., • Analyze the performance of the perception subsystem to proactively identify potential limitations with respect to a set of system-level capabilities. Document potential hazards and lead the cross-team efforts to eliminate or mitigate them., • Collaborate on innovative solutions to address "long tail" challenges. For example, developing techniques for synthetic data generation, advanced data mining, or leveraging language embeddings in our onboard models., • Depending on your background and interests, you may also help optimize and deploy models to the vehicle, ensuring they operate within the constraints of our onboard hardware and meet our functional requirements and interface specifications., • Master's or Ph.D. in Machine Learning, Computer Science, Robotics, or a related field; or equivalent industry experience, • Strong leadership skills in executing large, complex technical initiatives, • Track record of successful interdisciplinary work and product-focused engineering, • Broad understanding of Deep Learning algorithms, architectures, and applications, • Experience designing, training, and analyzing neural networks for applications relevant to perception, • Fluency in Python, including common libraries for deep learning (PyTorch), scientific computing, and data analysis and visualization, • Advanced knowledge of software engineering principles, including software design, source control management, build processes, code reviews, and testing methods, • Excellent communication and interpersonal skills, • Experience shipping a "real" product and balancing ongoing support with next-generation innovation, • Experience developing safety-critical products or components, • Publications in relevant conferences (CVPR, ICML, NeurIPS, etc.), • Strong programming skills in C++ and/or CUDA programming Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$200,000—$285,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job DescriptionCompany Description By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive. The HBS AI Institute is a global research center that provides research-driven insights, accessible to anyone in the world, on using AI and digital technologies to advance business and society. Founded on the premise that AI technology is only half the answer and that businesses must also revamp their processes to harness AI’s potential, the Institute is made up of an unbiased, multidisciplinary team of researchers and scientists, business leaders, and entrepreneurs. Job Description Job Summary: As a Senior Data Scientist, you will be a key member of the HBS AI Institute's Data Science Team, working closely with Harvard Business School (HBS) faculty and researchers on research projects in the social sciences related to business and management, digital transformation, data science and artificial intelligence. Specifically, you will be working with HBS faculty to leverage AI and investigate its implications for business and society through experimental research. You will also play a role in developing and disseminating ML and AI-based tools for the research community. Because you will act as an expert guide and resource for researchers with a wide range of abilities and knowledge relating to data methodologies and emerging technologies, a substantial component of the role is effective communication about technologies. Additionally, the ability to learn new skills on the fly, to keep up with emerging technologies, and to transition comfortably among multiple ongoing projects of varying size and complexity, are all crucial. Job-Specific Responsibilities: • Extract, clean, explore, and analyze data collected from various sources, including organizational data, public data, and experimental data, • Participate in the intake and assignment of projects in the HBS AI Institute Data Science Team, • Design and execute data science and AI experiments with partner organizations., • Create and implement a variety of models and analyses and be able to extract insights and inform strategy from them., • Create and maintain clear documentation of data files, modeling choices, rationale, results, and annotated code and readme files., • Present and explain data science methods and findings to faculty, managers and other non-technical stakeholders at HBS AI Institute., • Provide training and mentorship of other data scientists, research scientists, post-doctoral fellows, research assistants, and PhD students., • Troubleshoot complex problems and device a strategy of seeking solutions in collaboration with other data scientists., • Document and disseminate findings., • Build trust and collaboration by being present on-site and engaging directly with colleagues and various constituents., • Responsible for other duties as assigned.Qualifications Basic Qualifications: • Minimum of seven years’ post-secondary education or relevant work experience, • Master’s or PhD in one of the following disciplines: Computational Sciences in either Physics, Biology, Neuroscience, Statistics, Applied Mathematics, Computer Science or another quantitative field, • Minimum of 5 years of experience in data science or related quantitative role., • Experience with R, Python, SQL, and related languages., • Experience with AWS (RDS, EC2, S3, etc.) preferred or with Azure or Google Cloud., • Experience with supervised and unsupervised ML methods., • Advanced Statistical Expertise: Extensive experience with statistical modeling and regression analysis, including hypothesis testing and causal analysis., • Familiarity with LLM API use for research purposes. Additional Qualifications and Skills: • Ability to handle multiple projects, stakeholders and demands, • Strong team player with excellent verbal and written communication skills, • Experience with data visualization tools, • Experience prototyping products for research purposes Additional Information • Standard Hours/Schedule: 40 hours per week, • Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position, • Pre-Employment Screening: Identity, Education, • Other Information:, • This is a hybrid position which we consider to be a combination of remote and onsite work at our Boston, MA based campus. HBS expects all staff to be onsite a minimum of 3 days per week and departments provide onsite coverage Monday – Friday. Specific hours and days onsite will be determined by business needs and are subject to change with appropriate advanced notice., • As part of our evaluation, candidates are required to complete a take-home assignment/assessment after clearing the technical screen. This position has been determined by school or unit leaders that some of the duties and responsibilities can be effectively performed at a non-Harvard location. The work schedule and location will be set by the department at its discretion and based upon operational needs. When not working at a Harvard or Harvard-designated location, employees in hybrid positions must work in a Harvard registered state in compliance with the University’s Policy on Employment Outside of Massachusetts. Additional details will be discussed during the interview process. Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment. Salary Grade and Ranges This position is salary grade level 059. Please visit Harvard's Salary Ranges to view the corresponding salary range and related information. Benefits Harvard offers a comprehensive benefits package that is designed to support a healthy work-life balance and your physical, mental and financial wellbeing. Because here, you are what matters. Our benefits include, but are not limited to: • Generous paid time off including parental leave, • Medical, dental, and vision health insurance coverage starting on day one, • Retirement plans with university contributions, • Wellbeing and mental health resources, • Support for families and caregivers, • Professional development opportunities including tuition assistance and reimbursement EEO/Non-Discrimination Commitment Statement Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes. Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's non-discrimination policy. Harvard's equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.

Job Description Mission Summary: We are seeking an experienced and visionary Principle Level Tech Lead Manager to build and lead our new Machine Learning (ML) Acceleration team. This pivotal role will drive the strategy, development, and execution of initiatives aimed at significantly accelerating ML model training. The ultimate goal is to drastically reduce the development cycle for new ML models and enable rapid hot-patching for issues within our deployed autonomous vehicle services. You will be a hands-on leader, blending deep technical expertise in ML systems and performance optimization with strong leadership and people management skills. You will recruit, mentor, and grow a high-performing team of engineers, fostering a culture of innovation, collaboration, and continuous improvement. What you'll be doing: • Team Leadership & Management:, • Build, lead, and manage a high-performing team of ML and infra engineers focused on acceleration., • Provide technical guidance, mentorship, and career development opportunities to team members., • Foster a collaborative and inclusive team environment., • Define team goals, priorities, and roadmap in alignment with company objectives., • Technical Strategy & Execution:, • Define the technical vision and strategy for ML acceleration across the organization., • Identify and evaluate cutting-edge technologies and methodologies for speeding up ML training, including but not limited to data pipeline optimization, large scale distributed training, data loader optimization, hardware acceleration, and model optimization techniques., • Design, develop, and implement scalable and efficient ML acceleration solutions., • Cross-functional Collaboration:, • Collaborate closely with ML research, ML Training platform, and product teams to understand their needs and integrate acceleration solutions seamlessly., • Communicate complex technical concepts and strategies to both technical and non-technical stakeholders., • Act as a technical expert and advocate for ML acceleration initiatives across the company., • Impact & Measurement:, • Regularly measure and report on the impact of acceleration efforts., • Continuously seek opportunities for further optimization and innovation. What we're looking for: • Experience:, • Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience, • 8+ years of experience in software engineering, with at least 5+ years focused on Machine Learning systems and model performance optimization., • 3+ years of experience in a technical lead or management role, with a proven track record of building and leading high-performing teams., • Extensive experience with large-scale ML model training and deployment, ideally in a production environment., • Strong understanding of distributed systems and cloud computing platforms (e.g., AWS, GCP, Azure)., • Technical Skills:, • Deep expertise in ML frameworks such as PyTorch or JAX., • Proficiency in performance profiling and optimization techniques for Deep Neural Networks., • Strong programming skills in Python; C++ experience is a plus., • Knowledge of MLOps principles and practices., • Leadership Skills:, • Exceptional leadership, communication, and interpersonal skills., • Ability to attract, hire, and retain top engineering talent., • Proven ability to drive complex technical projects from conception to completion., • Strong problem-solving skills and a proactive, results-oriented mindset. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$240,000—$330,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job DescriptionAt WHOOP, we are on a mission to unlock human performance. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is seeking an experienced Data Engineer who thrives on innovation and takes ownership of building and evolving data systems at scale. In this role, you will design, build, and optimize scalable data pipelines and platforms that power our data driven insights. You will play a key role in shaping robust ELT architectures, improving reliability and performance, and influencing technical direction across the data platform. With a strong focus on modern AWS infrastructure and tooling such as Snowflake, DBT, Kafka, and Spark, you will help elevate our analytical and operational capabilities. If you are excited about using AI to improve developer productivity and drive meaningful impact, we want you to join our team. RESPONSIBILITIES: • Design, build, and operate scalable ELT pipelines using Python and PySpark, with a focus on reliability, performance, and maintainability, • Own and improve batch and streaming data systems using Spark and Kafka, including monitoring and resolving production data issues, • Develop and optimize Snowflake data models and DBT transformations to support analytics, experimentation, and trusted metrics, • Partner with data scientists, analysts, and product teams to translate business requirements into well-designed data solutions, • Contribute to the evolution of the data platform by improving observability, data quality, and engineering best practices, • Leverage AI tools to accelerate development, improve code quality, and automate repetitive data engineering workflowsQUALIFICATIONS:, • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience, • 3-5 years of professional experience building and operating ETL/ELT pipelines in production environments, • Strong proficiency in SQL and hands-on experience with modern data warehousing concepts and dimensional modeling, • Professional experience using Python for data engineering, including writing clean, testable, and reusable code, • Experience with DBT for data modeling, testing, and documentation is preferred, • Experience with Spark and Kafka for batch or streaming data processing is preferred, • Strong problem-solving skills, clear communication, and the ability to work independently while collaborating in an agile environment

Job DescriptionCompany Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube. Job Description The Precision Medicine Immunology department is seeking a highly motivated and talented Scientist with a background in immunology or immuno-oncology and experience in single-cell or spatial genomics, molecular biology, and cell biology to join the Translational Research team. This individual will provide leadership in clinical biomarker discovery by profiling clinical samples using single-cell and spatial omics approaches to better understand drug mechanism of action and pharmacodynamics, while driving data-informed patient selection strategies. The role will support drug development programs across inflammatory and autoimmune disease areas, including Dermatology, Gastroenterology, Rheumatology, and Fibrosis, from late-stage discovery through clinical trials. The successful candidate will join a growing translational research group and collaborate with cross-functional teams both internally and externally. Key Responsibilities * Independently lead the design, execution, and analysis of complex genomic profiling experiments, including single-cell RNA-Seq, CITE-Seq, and spatial transcriptomics/proteomics. * Perform image analysis tasks for spatial transcriptomics and proteomics datasets, including de-array and alignment for multi-omics integration, cell segmentation and phenotyping. * Design, develop and implement computational pipelines for processing and analyzing spatial omics datasets, including spatial transcriptomics and proteomics. * Proactively identify technical artifacts, interpret quality control results, optimize assay performance, and ensure high quality and reproducible data delivery on timely deadlines. * Stay at the forefront of the single-cell and spatial genomics field by surveying, evaluating, testing and validating novel scientific methodologies. * Present work plans and acquired data clearly and precisely to cross-functional stakeholders through formal written reports and verbal updates Qualifications • Bachelor’s Degree or equivalent education and typically 12 years of experience, Master’s Degree or equivalent education and typically 10 years of experience, PhD and typically 4 years of experience. Major or advanced degree in Immunology, cell & molecular biology, pharmacology, pathology, bioinformatics or other relevant biological sciences. * Proven track record of leading translational medicine initiatives in autoimmune diseases, bridging the gap between early discovery and clinical application. * Extensive experience designing and conducting single-cell and spatial omics studies to generate and validate critical biomarker hypotheses. * Broad technical expertise in molecular and cell biology assays, specifically specializing in scRNA-seq, CITE-seq, and multi-parameter flow cytometry. * Expertise in executing spatial omics experiments using CosMx, Xenium, and Visium platforms, integrated with deep expertise in molecular pathology techniques such as IHC and ISH * Proficient in the integrative analysis of multi-dimensional datasets using bioinformatics tools such as R and Python. * Skilled in using advanced image analysis platforms, such as Visiopharm and HALO, to derive quantitative biological insights from tissue-based assays. * Familiarity with cloud-based architectures (AWS) and high-performance computing (HPC) environments for processing large-scale genomic data. * Experience applying machine learning frameworks and sophisticated data visualization tools to interpret complex biological patterns. * Strong project leadership and organizational skills, with a demonstrated ability to prioritize tasks and allocate resources to meet aggressive timelines. * Experienced in managing CROs and external collaborators while working seamlessly with multi-functional internal teams in dynamic, fast-paced environments. * Excellent presentation and people management skills, with a proven ability to communicate complex scientific data to diverse stakeholders and executive leadership. * A robust track record of scientific writing, ensuring high-quality documentation and verbal reporting of technical findings. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: * The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of thisposting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location,and we may ultimately pay more or less than the posted range. This range may be modified in the future. * We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. * This job is eligible to participate in our long-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission,incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless anduntil paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

Job Description Senior Data Platform Engineer (AI / Data Fabric / Iceberg Lakehouse) Location: Boston, MA (Onsite 4 days/week) About Our Client Our client is a global investment firm building foundational AI, data, and platform capabilities to enable scale and business transformation. Their platform organization is responsible for evolving technology into robust, reusable, platform-based solutions that increase agility and deliver material business impact across the firm. The Team You'll join a core AI, Data, and Platform Technologies engineering team that architects and supports the firm's foundational data and AI capabilities. This team is a key enabler for firm-wide services—designing platform primitives that power AI and investment workflows at enterprise scale. The Role Our client is hiring a Senior Engineer to take a hands-on technical leadership role in Boston. You will help design and build world-class data engineering capabilities that process massive pipelines, leverage AI-powered insights and document extraction, and integrate across diverse cloud-powered databases. You'll define the technical blueprint for how the firm structures, stores, governs, and leverages data to support critical AI and investment platforms—ensuring integrity, performance, and accessibility at scale. This is an onsite role with expectations to be in the Boston office 4 days per week. What You'll Do • Lead the architecture, buildout, and modernization of a unified data fabric, establishing scalable patterns for access, interoperability, governance, and productization across business and technology teams, • Own the design and evolution of Apache Iceberg-based data platform capabilities: ingestion/egress, replication, streaming, performance tuning, lifecycle management, and adoption standards for analytical + operational use cases, • Define and implement compute architecture across stateful, stateless, and distributed processing layers—balancing performance, resiliency, scalability, and cost, • Design and drive adoption of event-driven patterns for real-time ingestion and data movement with low-latency, reliable, observable flows, • Extend platform capabilities to support the firm's AI/ML ecosystem, including curated datasets, feature-ready pipelines, training/inference data services, and integration points for model development and deployment, • Translate business and engineering priorities into a clear technical roadmap—sequencing platform investments for long-term value, • Serve as a senior engineering lead across strategic platform domains, partnering with app engineering, enterprise architecture, data consumers, and ML stakeholders, • Establish standards for data quality, observability, lineage, governance, security, and operational excellence across batch and streaming environments, • Mentor junior engineers and raise the bar on design rigor, implementation quality, and operational ownership, • Bachelor's degree in CS/Engineering/IS (advanced degree preferred), • 4+ years in data engineering, distributed systems, or platform engineering, operating at a senior technical leadership level, • Proven platform mindset: designed/delivered enterprise-scale data platforms or lakehouse ecosystems with emphasis on scalability, reliability, governance, and developer enablement, • Deep hands-on experience with Apache Iceberg and modern open table formats (modeling, partitioning, tuning, metadata management, operational best practices), • Strong understanding of distributed compute architectures (stateful/stateless processing, orchestration, fault tolerance, performance optimization), • Experience implementing event-driven/streaming architectures using modern messaging and data movement patterns, • Experience enabling AI/ML platform capabilities (pipeline design, feature/data prep, integration with model development or production ML systems), • Strong proficiency in Python and SQL; Java/Scala and modern data processing frameworks highly desirable, • Cloud-native/containerized experience, including orchestration, infra automation, and observability tooling, • Ability to operate as a senior technical decision-maker: influence architecture, drive execution through others, and partner across technical + non-technical stakeholders, • Own core architectural decisions for a firm-wide data fabric and lakehouse platform, • Work at the intersection of high-scale data engineering and AI enablement, • Build real-time and batch systems with strong governance, lineage, and production standards, • High visibility, high leverage platform work that compounds across many business units

Job Description The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us. What You'll Do • Be scrappy to find new sources of audio data and bring it into our ingestion pipeline, • Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform., • Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models., • BS/MS/PhD in Computer Science or a related field., • 5+ years of industry experience in software development., • Proficiency with bash/Python scripting in Linux environments, • Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP), • Experience with web crawlers, large-scale data processing workflows is a plus, • Ability to handle multiple tasks and adapt to changing priorities., • A fast-growing environment where you can help shape the company and product., • An entrepreneurial-minded team that supports risk, intuition, and hustle., • A hands-off management approach so you can focus and do your best work., • An opportunity to make a big impact in a transformative industry., • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture., • Opportunity to work on a life-changing product that millions of people use., • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more. Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job Description About the Company We are a seed-stage biotech company currently operating in stealth, leveraging cutting-edge AI to transform the discovery, development, and delivery of biologics. We are backed by leading venture capital investors and supported by world-class advisors. We are assembling a team to join us as we tackle the hardest problems in drug design. About the Role We are seeking a motivated and detail-oriented Research Associate to join our team, with a primary focus on recombinant protein expression and purification. This is a fast-paced startup environment where the ability to work efficiently and independently is essential. We are looking for someone who is proactive, resourceful, and comfortable navigating the demands of a dynamic research setting. In this role, you will be integral to our protein production pipeline, supporting the expression, purification, and biochemical characterization of proteins in bacterial systems, and contributing to cutting-edge research alongside a collaborative and driven team. You will work closely with senior scientists to advance research goals, maintain rigorous data records, and contribute to experimental design and troubleshooting. This is a full-time, on-site position based in Cambridge, MA. Responsibilities * Support recombinant protein expression and purification efforts in E. coli, including construct design, expression screening, and purification via affinity and other chromatography methods * Perform analytical assays to characterize protein quality and binding activity, including Bio-Layer Interferometry (BLI), SDS-PAGE, and spectroscopy * Execute standard molecular biology techniques including PCR, cloning, plasmid preparation, and DNA purification * Maintain accurate, well-organized records of experimental protocols, results, and data in Benchling or equivalent electronic lab notebook platforms * Assist in experimental planning and troubleshooting in collaboration with senior scientists * Contribute to the optimization and scale-up of protein production workflows * Communicate results clearly to the broader team through written reports and team meetings Required Qualifications * Bachelor's degree in biochemistry, biology, biotechnology, biophysics, chemical engineering, or a related field * 2+ years of hands-on experience in recombinant protein expression and purification in an academic or industry setting * Proficiency with bacterial (E. coli) protein expression systems and downstream purification using affinity chromatography (e.g., Ni-NTA) * Familiarity with analytical and biophysical methods for protein characterization, such as SDS-PAGE, FPLC, and spectroscopy * Experience managing experimental data in an electronic lab notebook, particularly Benchling * Highly organized and detail-oriented, with strong communication skills and the ability to work both independently and collaboratively Preferred Qualifications * Hands-on experience with Bio-Layer Interferometry (BLI) for binding kinetics analysis * Experience with protein expression in additional systems such as yeast (P. pastoris or S. cerevisiae) or mammalian cell expression platforms * Familiarity with Python or other scripting languages for data analysis and automation * Experience with high-throughput expression screening in multi-well plate fo 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.

Job Description Zoox is on an ambitious journey to develop a full-stack autonomous vehicle system for cities. We are seeking a Staff Data Scientist to join a verification and validation team that evaluates safety-critical AI systems. You will join a team of software and data engineers that leverage methods including log data analysis, simulation, and closed-course structured testing. You'll work cross-functionally with AI software, System Design and Mission Assurance, Simulation, Sensors, and other teams to develop, execute, and iterate on validation methods and pipelines. These pipelines evaluate safety-critical systems, are highly visible, and are an important critical path element of launching our service. The ideal candidate brings a hybrid of statistical rigor and engineering mindset to drive clarity from ambiguity, establish new processes, and propel the team forward. This is a deeply technical and hands-on role where you will be expected to be a self-sufficient builder and coder, not just a manager of projects. In this role, you will: * Design Evaluation Frameworks: Architect statistical methodologies for safety-critical AI systems to form objective, rigorous conclusions about their performance and reliability. * Conduct Robust Analysis: Deliver validation evidence to support increasingly complex operations and identify potential edge-case failures. * Inform Strategy: Deliver clear, data-driven insights to development teams to guide system improvement, and to executive leadership to inform milestone-level go/no-go decisions. * Define Metrics: Drive alignment across engineering teams on performance metrics and data extraction strategies. * Lead the Lifecycle: Manage all phases of evaluation including prototyping, requirements capture, design, implementation, and validation. * Scale Pipelines: Partner with engineers to build and maintain scalable data processing and simulation pipelines, applying distributed computing to analyze petabytes of driving data. Qualifications: • MS or PhD in Statistics, Computer Science, Machine Learning, Applied Mathematics, or related quantitative field, • Proficiency in Python and SQL with experience in production-quality code, • Demonstrated expertise in statistical methodologies including hypothesis testing, power analysis, spatiotemporal modeling, Bayesian inference, and multivariate analysis., • Experience with large-scale data analysis and statistical modeling, • Proficiency with Git, unit testing, and collaborative development practicesBonus Qualifications: Hands-on experience with production machine learning pipelines: dataset creation, training frameworks, metrics pipelines * Experience with modern data processing technologies such as Apache Spark, Spark SQL, and Databricks * Experience with designing metrics and delivering actionable insights that drive business decisions There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. 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.

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:We are looking for an experienced state estimation engineer to design, develop, and support the deployment of safety-critical navigation solutions for aerospace platforms. This role requires deep expertise in state estimation theory, extensive practical experience implementing ownship navigation systems in the aerospace domain, and strong software development skills for production-quality navigation code. The engineer will design and implement a unified navigation architecture that supports traditional GNSS/IMU fusion while being extensible to all-source navigation strategies incorporating diverse sensing modalities for GPS-degraded and denied environments.What you'll do:Navigation System Architecture & Design: • Establish navigation performance requirements and error budgets for safety-critical applications, • Support decomposition of navigation requirements into allocations for sensors, estimation algorithms, and software components, • Design detailed software architecture for state estimation implementations, including module interfaces and data flow Algorithm Development & Implementation:, • Design and implement Extended Kalman Filter algorithms for navigation applications, with broad understanding of state estimation theory and alternative filtering approaches, • Implement tightly-coupled and loosely-coupled GNSS/INS integration algorithms, • Integrate diverse sensing modalities (vision, RF, celestial etc.) into multi-sensor fusion framework for GPS-degraded environments, • Develop fault detection, isolation, and recovery (FDIR) strategies for navigation systems, • Implement integrity monitoring and protection level calculations for safety-critical operations Certification & Verification:, • Develop verification and validation test plans for navigation algorithms, • onduct performance analysis including Monte Carlo simulation, covariance analysis, and flight test data evaluation, • Document navigation system design, requirements allocation, and compliance evidence, • Support safety assessment activities including failure modes and effects analysis Technical Leadership:, • Provide technical guidance on navigation architecture and state estimation approaches, • Support trade studies evaluating navigation sensor suites and fusion strategies, • Mentor junior engineers on state estimation theory and implementation Required qualifications:, • Demonstrated experience implementing GNSS/INS integration solutions, • Experience with safety-critical system development and certification processes, • Deep understanding of state estimation theory, • Experience implementing multi-sensor fusion algorithms in production systems, • Strong background in inertial navigation, GNSS positioning, and sensor error modeling, • Strong programming skills in C/C++ and Python/MATLAB for algorithm development and analysis, • Understanding of integrity monitoring, protection levels, and safety assessment methods, • Experience with requirements management and verification/validation processes for certifiable systems, • Understanding of GPS/GNSS signal structure, error sources, and performance characteristics, • Knowledge of IMU error models, calibration, and Allan variance analysis, • Familiarity with alternative navigation sensors (camera, RF ranging, celestial, etc.), • Understanding of navigation performance metrics (accuracy, integrity, continuity, availability)Preferred qualifications:, • PhD in relevant field with focus on state estimation or navigation, • Direct involvement in certified navigation system development from requirements through flight test, • Experience with specialized navigation approaches (vision-aided navigation, terrain-referenced navigation, celestial navigation, etc.), • Publications or patents in navigation or state estimation, • Experience with GPS/GNSS jamming and spoofing mitigation techniques Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 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.

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. Data is at the heart of every decision at Klaviyo. Our Analytics Engineering team sits within a hub-and-spoke model, partnering closely with Go-To-Market (GTM), Product, Engineering, and Business Intelligence teams to build scalable, trusted data systems. You'll work at the intersection of business and engineering, owning core data models, enabling self-service analytics, and ensuring our data ecosystem is reliable, scalable, and compliant. About the Role We're looking for a Senior Analytics Engineer to own end-to-end data pipelines and modeling across GTM (Sales) and Product domains. You'll build and maintain the source of truth for operational and product data, enabling leadership, analysts, and product teams to answer complex questions with confidence. This role combines deep technical execution with high-impact business partnership, requiring you to translate ambiguous needs into scalable data products. You will operate as a trusted, embedded partner to stakeholders while leveraging the broader Data Engineering organization's standards, tooling, and best practices. You'll help build the foundation that powers everything from forecasting and compensation to product insights and experimentation. Please note that this is a hybrid role that requires 3 days/week in our Boston office. Fully remote candidates will not be considered at this time. How You'll Make a Difference • Own and deliver end-to-end data pipelines and models that power Sales and Product analytics, • Build curated, governed data marts that enable fast, reliable decision-making, • Design dimensional data models (dbt) for core entities such as accounts, pipeline, performance, and product usage, • Partner with Sales, Product, and Analytics teams to create holistic views of the customer and product lifecycle, • Raise the bar on data quality, testing, monitoring, and documentation, • Enable reverse ETL workflows to operationalize insights into business systems, • Act as a data ambassador across Product, Engineering, BI, and Legal, ensuring alignment on data contracts and governance, • Lead and mentor others through design reviews, best practices, and technical guidance, • Data Modeling & Pipelines: Build and maintain production-grade dbt models in Snowflake, • Integrations & Ingestion: Own ingestion from systems like Salesforce, ERP, and product data sources, • Reverse ETL: Push high-value data models into downstream tools and workflows, • Data Quality & Governance: Implement testing frameworks, monitoring, and documentation to ensure trust and compliance, • Cross-Functional Partnership: Work closely with Sales Ops, Product Managers, Engineering, Finance, and GTM teams, • Repository Stewardship: Maintain dbt codebase, enforce best practices, and ensure scalability, • 5+ years of experience in analytics or data engineering in a modern data stack (Snowflake, BigQuery, or Redshift), • Strong expertise in SQL and dbt, with a focus on building scalable, production-grade data models, • Proficiency in Python (or similar) for orchestration or tooling, • Experience owning end-to-end data workflows, from ingestion to business impact, • Ability to translate ambiguous business needs into structured data solutions, • Strong communication skills with the ability to partner with non-technical stakeholders, • Experience implementing data testing, monitoring, and governance frameworks, • Experience with Sales Operations, compensation, or GTM analytics, • Familiarity with reverse ETL tools and workflows, • Experience with Airflow, Fivetran, Workato, or similar tools, • AWS experience (S3, EC2, Lambda) and infrastructure-as-code (Terraform), • Exposure to experimentation frameworks or product analytics systems, • Experience with data privacy controls (masking, role-based access, compliance) At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit careers.klaviyo.com to see how we empower creators to own their own destiny. We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$140,000—$210,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job DescriptionSalary: Come join oneZero Financial Systems! An exciting, fast-growing company with Headquarters in Somerville, MA.oneZero empowers banks, brokerages and hedge funds with cutting edge trade routing and execution technology. Our platform, deployed with 200+ entities globally, features a low-latency trading environment, integrations to the worlds leading execution venues, and reliable IT infrastructure and technical supportall designed to be customized and scaled to serve any business model and any size of market participant. We take pride in our great work atmosphere and highly motivated team of engineers. We are seeking an experienced IT Network Manager/Architect to lead the transformation and enhancement of our global network infrastructure. The ideal candidate should have a strong background in trading infrastructure and be proficient in network automation using tools like Ansible, Terraform and Arista Cloudvision. In addition, the selected candidate will manage and mentor an existing team of network/automation engineers. oneZero is proud to have been named one of Business Intelligence Group's Best Places to Work for four consecutive years: The Boston Globe names oneZero a Top Place to Work in 2022, 2023, and 2024: Responsibilities: Network Infrastructure & Security: • Lead the redesign and upgrade of the data center network architecture. Working closely with our vendors and team to design and implement a modern network designed for performance, recovery and automation., • Evaluate and implement cutting-edge enterprise networking technologies, including Cisco, Arista and Fortinet., • Optimize and expand private VPLS/eVPN links connecting our global data centers, offices and public cloud providers., • Develop and manage a network security framework encompassing global offices, data centers, public cloud providers and third-party hosting providers. Automation and Tool Integration: • Implement automation strategies using tools like Ansible and Arista Cloudvision to streamline network management, provisioning, and maintenance., • Identify opportunities for process automation and work to eliminate manual tasks within the network team. Trading Infrastructure Expertise: • Leverage your trading infrastructure background to ensure that the network architecture supports low-latency trading activities and meets industry standards for reliability and performance., • Collaborate with Trading Operations and Development teams to understand their requirements and implement network solutions to support their needs. Team Management and Mentorship: • Manage and mentor a team of network engineers/operators, providing guidance, training, and performance evaluations., • Lead the team strategically and as a hands-on technical member as well., • Foster a collaborative and growth-oriented team culture. Global Network Management: • Oversee the management and monitoring of our global network infrastructure, ensuring high availability and reliability., • Develop and maintain network documentation and standard operating procedures. Qualifications: • Proven experience (10+ years) in network architecture and management, with a focus on trading infrastructure., • Strong knowledge of network technologies, including Cisco, Arista, Fortinet, and corporate VPN/ZTNA solutions., • Proficiency in network automation using Ansible, Salt, Napalm, Nornir. Previous experience with IOS/EOS and FortiOS Ansible modules., • Experience with modern infrastructure CI/CD (expert knowledge of Git and various deployment tools including Terraform, OpenTofu and orchestration tools such as Spacelift), • Competence is network observability using various tools such as vendor-native, DataDog, Solarwinds. Expert understanding of SNMP, NetFlow and vendor APIs., • Intermediate Python development experience., • Experience with private VPLS/WDM/Optical links and global network connectivity., • Exceptional leadership and team management skills., • Excellent problem-solving and troubleshooting abilities., • Strong communication and collaboration skills., • Bachelor's degree in a related field (e.g., Computer Science, Information Technology) is preferred.

Job Description Iterative Health is a healthcare technology and services company powering the acceleration of clinical research to transform patient outcomes. The Iterative Health Site Network is a premier network of 100+ clinical research sites across the US and Europe, accelerating the path to market for novel therapies. By combining deep expertise in clinical trials with cutting-edge AI, we empower research teams and study sponsors to expand and expedite access to novel therapeutics for patients in need. About the Role Accelerating clinical research is one of the defining challenges in healthcare. Promising therapies exist that patients can't access because the operational infrastructure to run clinical trials efficiently doesn't exist yet. We're building it. That means designing technology systems that bring order to a fragmented landscape of clinical data sources, automating the operational work that slows trials down, and turning real-world clinical data into a foundation for predictive intelligence. We're building a uniquely valuable data asset: real-world patient and research data flowing across 80+ trial sites, spanning dozens of EHRs and clinical systems, focused on patient populations that are chronically underserved by existing clinical research infrastructure. Your job is to build the pipelines, data models, and AI infrastructure that make this asset real, from ingestion and normalization through to the systems that power predictions on top of it. You'll own data quality and observability as foundational engineering problems. You'll also have a direct hand in shaping how this data drives our AI strategy, what we model, what we predict, and what becomes possible. This is an opportunity for someone who wants to be part of a small, fast-moving engineering team at a formative stage. You'll shape what gets built, how decisions get made, and what the team becomes. Responsibilities • Own the data layer and architecture: the models, schemas, and infrastructure decisions that everything downstream depends on, • Build and operate the pipelines and transformations that move data from ingestion through normalization, enrichment, and into the formats that support analytics, ML training, and production model serving, • Own data quality and observability: build the systems that make data issues visible and correctable before they compound, • Partner with ML and engineering teams to identify what's modelable, define training data requirements, and build the data foundations for new predictive capabilities, • Define how clinical and operational data is governed across the system, • Evaluate and select the tools and technologies that make up the data stack, with a clear point of view on build vs. buy, • Help shape the engineering culture of a small, growing team: how technical decisions get made, how problems get debated, what rigor looks like in practice What We're Looking For Required Qualifications • 10+ years of experience in data engineering or related roles, with significant time spent building data systems, • Experience with healthcare data strongly preferred (HL7, FHIR, claims, EHR extracts) or other complex, regulated data domains, • Deep experience modeling and integrating data from multiple heterogeneous sources with inconsistent schemas and quality, • Experience applying AI and LLMs to data engineering problems: extraction, normalization, classification, entity resolution, • Strong understanding of how data infrastructure supports ML workflows from feature engineering to training data pipelines to model serving, • Fluent in SQL and at least one modern programming language (Python, Java, Scala, Go), with experience across modern data infrastructure - distributed processing, streaming, cloud-native storage, orchestration, and transformation frameworks, • Have built data systems from early stages, making foundational decisions with incomplete information, • Experience building data infrastructure that directly supports ML model training and evaluation, • Familiarity with clinical trial operations, EDC systems, or life sciences data, • SOC 2, HIPAA or similar compliance experience baked into engineering practice