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Job Mission: Own and deliver on a product area while building the product management team’s capabilities, processes, and culture. Accountable for both product outcomes and the growth of PMs on the team. Key responsibilities: • Partner with the CEO & executive team to set product strategy and prioritize development objectives across all product areas, • Interface with clients to uncover market problems, test divergent ideas and converge on the best solution that is valuable, usable and feasible, • Drive outcomes by setting the strategic direction (roadmap) and managing the tactical implementation (backlog) for owned product area while ensuring consistent practice across the PM team, • Support launching products in the market, including sales readiness, go-to-market activities and ongoing post-launch efforts, • Build and develop the PM team — hire, coach, and establish the methodologies, rituals, and quality bar for product management, • Represent the product function in executive and cross-functional leadership forums Product Discovery & Opportunity Assessment • Runs a continuous-discovery loop (weekly customer touchpoints, rapid experiments, opportunity-solution tree kept current)., • Frames market problems with clear learning objectives, risks & assumptions before delivery., • Leads the Triad (PM + UX + Lead Engineer) to test value, usability & feasibility early; encourages intelligent risk-taking., • Combines qualitative insight (interviews, jobs-to-be-done) with quantitative signal (usage, funnel, NPS) to size opportunities., • Challenges assumptions openly—asks crisp, “what would have to be true?” questions., • Leverages Generative AI capabilities as a product lever and can identity where AI adds genuine user value vs. where it’s cosmetic, and partners with engineering to evaluate feasibility., • Owns an outcome-based roadmap that ties directly to company OKRs and 4-lens test (Strategy, Vision, Customer, Business)., • Gains executive & cross-functional alignment through storytelling and visuals; roadmaps are adaptable (reviewed at least quarterly)., • Serves as Product Owner for an agile process; backlog always reflects priority + class-of-service., • Sets High-Integrity Commitments (fixed-date work) only when risk-adjusted forecasts support them; meets ≥ 90 % of those dates., • Collaborates daily with engineering to slice value thinly, ensure definition-of-ready/done, and unblock swiftly., • Cultivates trust-first relationships; practices pre-wiring / shuttle diplomacy to avoid surprises., • Evangelizes the product vision internally & externally; can demo, train, and support customers end-to-end., • Models servant-leadership: creates psychological safety, celebrates experiments (even failed ones) and elevates team expertise., • Proactively translates company strategy into product narratives that resonate with every function (sales, CX, marketing, finance)., • Establishes and coaches a consistent discovery and delivery methodology across PMs., • Runs regular product reviews that elevate team thinking (not just status updates); sets the quality bar for specs, roadmaps, and stakeholder communication by example., • Makes hiring decisions and builds a pipeline of PM talent; creates career development frameworks and gives direct, actionable feedback., • Ensures consistent backlog health and delivery practices across all PM-owned products, not just their own., • 7–10 years of software product management experience, including ownership of a product roadmap and backlog, • Demonstrated experience running continuous product discovery (customer interviews, experiments, opportunity sizing), • Track record of shipping software products through a full lifecycle — from discovery through launch and iteration, • Experience working within Agile/Lean/Kanban delivery teams as a Product Owner or equivalent, • Strong data literacy — comfortable using analytics, funnel metrics, and usage data to inform decisions, • Technical fluency — able to collaborate deeply with engineering on feasibility, trade-offs, and system design (not expected to write code), • Exceptional written and verbal communication skills; ability to lead meetings, present to executives, and facilitate cross-functional alignment, • Go-to-market experience — has partnered with sales, marketing, and CX on launches and enablement, • 2–3+ years of formal or informal leadership of other PMs, including mentoring and developing PM talent, • Comfort operating at both strategic and tactical altitude — can present a quarterly roadmap narrative to the board and write acceptance criteria in the same week, • Experience with data integration, interoperability, or iPaaS/middleware products, • MBA or equivalent graduate degree, • Experience with outcome-based roadmapping and OKR frameworks, • Familiarity with LLM capabilities, prompt engineering, and the practical constraints of AI systems, • Prior experience working within Salesforce or Blackbaud ecosystems, • Prior experience working in the nonprofit sector (either at a nonprofit or at a nonprofit software/service provider)

Who We Are; What We Do; Where We’re Going Magnet Forensics is a global leader in the development of digital investigative software that acquires, analyzes, and shares evidence from computers, smartphones, tablets, and IoT-related devices. We are continually innovating so our customers can deploy advanced and effective tools to protect their companies, communities, and countries. Serving thousands of customers globally, our solutions are playing a crucial role in modernizing digital investigations, helping investigators fight crime, protect assets, and guard national security. With employees based around the world, Magnet Forensics has been expanding our global presence. As a part of Magnet Forensics, you can expect to make a difference in the world, no matter what role you play. You’ll be supported through learning and development, not to mention an incredible team with unbelievable talent and integrity. If you think you would be the right person to join our team working towards this goal, we would love to hear from you! Role Overview We’re looking for a seasoned Front-End Architect who thrives on technical depth and broad influence. You’re as comfortable designing architecture as you are shipping code, and you care deeply about developer experience, scalability, and performance. You’ve likely led modernization efforts, built shared frameworks or design systems, and enjoy helping others adopt better patterns at scale. As a Front-End Architect, you’ll help shape the foundation of how all our SaaS products are built and experienced. Our goal is to enable product teams to deliver faster, safer, and more consistent customer experiences, and you’ll play an instrumental role in that journey. You’ll collaborate with Senior Engineers, Product Managers, and UX Designers to create a cohesive frontend platform that unites multiple SaaS products into a single, scalable application. This is a hands-on technical leadership role: Part Architect, Part Builder, and Part Mentor. You’ll lead by example, designing reusable UI frameworks, modernizing legacy codebases, and guiding engineering teams toward better patterns, tooling, and practices. • You’ll have outsized impact. The work you do will unlock speed and consistency across multiple SaaS products, laying the groundwork for our next-generation unified platform., • You’ll solve meaningful technical challenges. From platform architecture to developer experience, you’ll tackle problems that blend scale, complexity, and usability., • You’ll join a culture that values autonomy and trust. We empower experienced engineers to make decisions, move quickly, and see their work make a measurable difference. No ivory towers. NOTE: Candidates must reside in The United States or Canada. • 8+ years of professional frontend development experience, including deep expertise in one or more major frameworks (e.g. React, Vue) and modern JavaScript/TypeScript., • 4+ years of experience shipping pragmatic SaaS solutions to production (AWS, Azure, or GCP), balancing technical vision with delivery., • Excellent mentorship and leadership skills, with the ability to guide and challenge senior developers., • Clear and confident communication: you can explain tradeoffs, document patterns, and build trust across Engineering, Product, and UX., • Comfortable leading by example: rolling up your sleeves to prototype ideas and prove out new patterns, then scaling those patterns widely through evangelism and mentorship., • Bachelor’s degree in a Computer Science related field, or equivalent practical experience., • Strong experience designing and implementing extensible frontend architectures (e.g., modular React apps, micro frontends, or plugin systems)., • Experience with the rest of our frontend stack (e.g. MUI, Vite[st], Tanstack, Emotion) and beyond (e.g. AWS, Docker, Grafana, AzDO), • Experience improving frontend DX through better tooling, faster local dev loops, observability, feature flagging, CI/CD pipelines, etc., • Familiarity with design systems, accessibility, and internationalization best practices., • Exposure to domain-driven design concepts and how they apply to frontend modularization., • Understanding of AI systems, including LLM architectures, token generation, and MCP frameworks., • Enthusiasm for using agentic AI and other modern practices as a key part of the SDLC (!!!). The Compensation Range is for the primary location for which the job is posted. Please note that the actual compensation may vary depending on location and job-related factors such as qualifications, experience, knowledge and skills. If you are applying for this role outside of the primary location and you are selected for an interview, the Talent Acquisition Partner can share more information with you. If the compensation structure for the role includes an incentive component (i.e. most Sales roles) the range below represents total target compensation (TTC) (base salary + variable). MIN: $154,000 - MID: $220,000 - MAX: $264,000 (USD) a year MIN: $137,900 - MID: $197,000 - MAX: $236,400 (CAD) a year Salary range (min - max)Magnet is proud to offer benefits such as: - Generous time off policies - Competitive compensation - Volunteer opportunities - Reward and recognition programs - Employee committees & resource groups - Healthcare and retirement benefits Indicators of Success We’re looking for someone who checks off most, but not all, of the boxes listed in “skills and experiences”. It’s more important to us to find candidates who can display indicators of success through skills they have developed and experiences they have been a part of, than to find folks who have ‘been there, done that”. We want to be part of your development journey, and we’ll learn as much from you as you learn from us. How We Work At Magnet Forensics, we take a hybrid-flexible approach to support your productivity and work-life balance. If you’re within a comfortable travel distance to one of our offices, you’ll occasionally join us in person. How often you’ll come in depends on your department and team needs, typically ranging from weekly to monthly. These in-person moments help us build stronger connections, spark new ideas, and celebrate our successes together. Most days, you can choose what works best for you, while staying in tune with your team’s goals. We’re excited to welcome you to our team and look forward to achieving great things together - both in the office and wherever you work best! The Most Important Thing We’re looking for candidates that can provide examples of how they have demonstrated Magnet CODE in their previous experiences: CARE – We care about each other and our mission to make a difference in the world. OWN – We are accountable for our results – while never forgetting to act with integrity, empathy, and respect. DEDICATE – We put our heart and soul into meeting the needs of our customers and helping them serve the people they protect. EVOLVE – We are constantly innovating and exploring new ways to work together to make an impact with our work. Here at Magnet Forensics, we are committed to continuous learning and are focused on building a diverse and inclusive workforce. This commitment will be reflected in our hiring processes and embedded in our values and how we treat one another. If you’re interested in this role, but do not meet all of the qualifications listed above, we encourage you to apply anyways. Magnet Forensics is an Equal Opportunity Employer and considers applicants for employment without regard to race, colour, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, provincial, or local law. We are committed to providing an inclusive, accessible recruitment process and work environment. Accommodation is available to all applicants upon request throughout the hiring process. Please contact ___ should you require any accommodations. All offers of employment at Magnet are contingent upon satisfactory completion of a background check. All background checks will be conducted in accordance with all applicable laws. Magnet will consider each position’s job duties, among other factors, in determining what constitutes satisfactory completion of the background check. Refusal to consent to a background check may be grounds for revoking an offer of employment. US Applicants: Magnet Forensics participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. Magnet Forensics handles and uses personal data of job applicants in line with its Recruitment Privacy Policy found ___.

The Community You Will Join: Messaging is a critical component in building connections with our users. Our mission as the Communication Products team is to build a first-class messaging experience at Airbnb, bringing together guests and hosts across the world. We are investing heavily in machine learning to make these conversations smarter, safer, and more productive. As a staff software engineer on this team, you'll lead the technical vision for ML-powered messaging features: architecting and delivering intelligent capabilities end-to-end, partnering deeply with ML and product teams, and raising the engineering bar across the organization. The Difference You Will Make: As a Staff Engineer on the team, you will define and drive the technical strategy for integrating ML capabilities into Airbnb's messaging products, including smart replies, message classification, content moderation, translation, and conversational assistance. You will also own the full lifecycle of ML-powered features: from prototyping and experimentation through launch, monitoring, and iteration. In addition, you will help drive key technical deliverables for the larger Communications organization. A Typical Day: • Design, build, and operate the systems that serve ML models within the messaging stack, with a focus on latency, reliability, and scalability, • Write and review technical designs that solve large, open-ended problems at the intersection of ML and product engineering without clearly-known solutions, • Partner with ML, data science, and product teams to identify high-value opportunities, establish evaluation criteria, and close the gap between offline model performance and production impact, • Collaborate with other engineers and cross-functional partners across Messaging, Trust & Safety, Localization, and Platform organizations to align on long-term technical solutions, • Mentor, guide, advocate, and support the career growth of individual contributors, • Establish engineering standards for ML integration across the messaging surface, including feature flagging, A/B testing, observability, and graceful degradation Your Expertise: • 9+ years of relevant engineering hands-on work experience, • Bachelors, Masters, or PhD in CS or related field, • Demonstrated experience building and shipping ML-powered product features in production environments, including model serving, feature pipelines, online/offline evaluation, and monitoring, • Exceptional architecture abilities and experience with architectural patterns of large, high-scale applications, • Familiarity with NLP/NLU techniques and large language models, particularly as applied to messaging, conversational AI, or content understanding, • Shipped several large-scale projects with multiple dependencies across teams, specifically at the intersection of ML infrastructure and product engineering, • Technical leadership and strong communication skills with the ability to translate between ML research, product goals, and engineering execution, • Experience operating distributed, real-time systems at scale with high reliability requirements, • Experience with real-time messaging systems or event-driven architectures, • Familiarity with ML infrastructure at scale (e.g., feature stores, model registries, online inference platforms), • Prior work on trust & safety, content moderation, or internationalization in a messaging context, • Experience with LLM-based product features, including prompt engineering, retrieval-augmented generation, or fine-tuning Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. ___ . If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: ___. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

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

Location: Remote (with occasional travel) Base Location: Salt Lake City, UT, US Employment Type: Full-time Salary Range: $150K - $260K (Based on YOE; potential flexibility for more tenured candidates) We are a rapidly growing, well-funded technology company trusted by enterprise clients, developing a leading AI-powered platform for a specialized professional sector. Join our small, highly efficient engineering team to take ownership of complex systems and ship features quickly in a high-velocity, modern tech stack environment. We are looking for a Staff, Senior, or Principal Software Engineer with a strong background in software engineering leadership to drive the design, implementation, and reliability of our core product. You will take full ownership of features from concept to production in a distributed, modern stack. • Ship features rapidly within an Elixir/Phoenix/LiveView monolithic application, taking full accountability for the entire feature lifecycle, from design through deployment., • Build and maintain numerous third-party integrations (currently 30+) using consistent adapter patterns and the Tesla/Finch HTTP client stack., • Work within and enhance a distributed Elixir environment (libcluster on Kubernetes) to ensure exceptional scalability, reliability, and performance., • Contribute to system quality by utilizing LiveView tests, Hammox for contract testing, and Wallaby for end-to-end user flows., • Utilize advanced observability tools (GCP logging, AppSignal, Prometheus, Grafana) to debug complex systems and continuously improve performance., • Engage directly with cutting-edge LLM-powered features, including prompt routing, caching, JSON mode, function calling, embeddings (pgvector), and evaluation frameworks., • Collaborate on a fully defined, version-controlled infrastructure where all components are managed by Terraform within a GCP/GKE environment., • Embrace an author ownership culture: write, test, ship, and be responsible for the reliability of your code in production., • Experience: 5+ years of experience in a software engineering leadership role (Staff, Senior, Principal, or equivalent)., • Core Proficiency: Strong, practical experience with the Elixir, Phoenix, and LiveView framework., • Distributed Systems: Experience designing and debugging distributed applications running on platforms like Kubernetes (GKE)., • Testing/Quality: Proven ability to implement comprehensive testing strategies, including LiveView tests and E2E testing., • Infrastructure as Code (IaC): Direct experience with Terraform for managing cloud and application infrastructure., • AI/LLMs (Preferred): Familiarity or experience with developing robust systems that utilize LLMs (e.g., prompt engineering, caching, function calling, or vector databases like pgvector)., • Ownership: A demonstrated history of taking features from end-to-end, including high commitment to production reliability and performance monitoring., • Work Style: Thrives in a high-velocity culture with daily small feature/bug fix deployments and multi-day, rather than multi-week, feature cycles., • Highly competitive salary package ($150K - $260K) based on experience., • Meaningful early-stage equity (0.066% - 0.1%)., • Fully Remote work arrangement, offering flexibility (occasional travel for team collaboration is encouraged)., • Work with a modern and highly efficient tech stack including Elixir, Phoenix, LiveView, Rust/Rustler, and Terraform/GCP/GKE., • The opportunity to build industry-leading AI tools that automate mission-critical tasks for enterprises. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing . MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting .

Siena is the first intelligence layer for customer experience. We're creating an operating system of AI agents that learn, remember, and act across every customer touchpoint—from support conversations to shopping experiences to voice and social media interactions. Siena doesn't just automate support; it powers shopping agents, builds persistent customer memory, generates actionable business insights, and creates empathetic interactions that feel human. We're transforming how businesses understand and connect with their customers, turning every interaction into intelligence that makes the next one better. We're a small, distributed team that punches way above our weight. Every person here has outsized impact because we've built leverage into everything we do. This philosophy makes us faster and, frankly, more fun to work with. If you're excited about building something that doesn't exist yet, keep reading. We're building agents that don't just respond to customers—they remember them, learn from every interaction, and connect experiences across channels. As a Product Manager, AI Agent Deployment you're embedded with strategic accounts, owning their deployment outcomes while building platform capabilities. Forward-deployed PM meets technical account ownership. You deploy agents and turn those insights into product improvements that scale. You're energized by the loop: deploy agents → drive outcomes → identify gaps → build platform improvements → repeat. * 3+ years in PM, solutions engineering, implementation, TAM, customer success engineering, or product ops * Experience with technical products and enterprise customers * AI-native mindset. You live in Claude Code, Cursor, and max out your LLM limits * You can scope webhooks, OAuth flows, and complex integrations * You ship features, write docs, run demos, and measure what matters * You've lived the problems customers are trying to solve. You know what "great CX" looks like * You can diagnose whether problems are technical, operational, or stakeholder-related and prioritize accordingly * You are comfortable advising CX leaders on organizational design, process optimization, and transformation strategy * Ability to work in North American time zones is a must * Own agent outcomes for strategic accounts end-to-end. * Deploy AI agents, drive automation rates, identify what's blocking progress, then build the platform fix * Work directly with enterprise CX leaders to design AI transformation roadmaps that you'll help execute * Turn deployment insights into platform capabilities that help every customer, not just the one you learned from * Build new agent capabilities that work seamlessly across platforms * Design evaluation systems that make our agents continuously smarter. QA suites, automated testing, performance monitoring * Run full launch cycles from internal testing to GA, including customer enablement * Demo your own products and co-sell alongside sales. You'll be known by name in our customer Slack communities * Competitive salary, equity, flexible remote work * Premium AI tools (ChatGPT, Claude, Perplexity Pro, Cursor) plus quarterly budget for new tools * Clear growth pathways into deeper specialization or team leadership * Meaningful impact. Your work directly shapes our product and company. * Globally distributed team working at the bleeding edge of CX and AI. * Great salary plus the opportunity for equity or stock grants. * Learning budget. If you're growing, so are we. * The thrill of building something new. Join us at a stage where your contributions matter most. * AI-fluency. Make AI your second nature. * Tackle unsolved problems. We’re redefining how customer experience will look like in the next decades. The people who thrive here are curious, customer-obsessed, and take ownership without being asked. They fix problems first and explain later. They're direct about feedback—both giving and receiving it—because they care more about getting things right than being polite. They maintain high standards while moving at startup speed, and they build real relationships with teammates because they know that's how great work gets done. When things get tough, they adapt and keep pushing forward. The people who thrive here treat AI like a natural extension of themselves. They've built their own ecosystem of agents - some for research, others for debugging, writing, analysis, or writing code. They know which AI works best for what problem. Everyone gets premium accounts (ChatGPT, Claude, Perplexity Pro, Cursor, Lovable) plus a quarterly budget for new tools. But the magic happens in how we share knowledge. Demo days where someone shows off a clever workflows. Slack threads about which model handles a specific use case better. Learning from each other's AI workflows. At Siena, we’re not just looking for people who can do a job. We’re looking for people who want to break boundaries, create the future, and reshape industries. If that’s you, we look forward to your application. Siena provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.

We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents.

Southern California full service firm! Serving transactional and litigation needs across practice areas. ONSITE This Jobot Job is hosted by: Mallory Schreiner Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $125,000 - $175,000 per year A bit about us: Southern California full service firm! Serving transactional and litigation needs across practice areas. Why join us? Medical Benefits 401k PTO Competitive pay Job Details Responsibilities: 1. Provide comprehensive legal advice to clients on estate planning, wills, trusts, probate, and wealth preservation strategies., 2. Develop and implement estate plans, including drafting and executing wills, trusts, powers of attorney, and other estate planning documents., 3. Collaborate with financial advisors and accountants to create integrated wealth management and tax planning strategies., 4. Conduct legal research and analysis of complex estate planning issues., 5. Represent clients in probate court proceedings., 6. Keep abreast of changes in tax and estate planning laws and regulations., 7. Develop strong client relationships and deliver exceptional client service., 8. Maintain strict confidentiality and exercise sound judgment and discretion in handling sensitive client matters. Qualifications: 1. Juris Doctor (JD) degree from an accredited law school., 2. Advanced degree in Tax Law (LLM in Tax) is highly desirable., 3. Admitted to practice law in the state and in good standing., 4. Minimum of 5 years of experience in estate planning, trusts, wills, probate, and asset protection., 5. Proven track record of working with high-net-worth individuals and families., 6. Strong knowledge of federal and state tax laws and regulations., 7. Exceptional legal drafting skills and attention to detail., 8. Excellent communication and interpersonal skills, with the ability to explain complex legal concepts in a clear and understandable manner., 9. Demonstrated ability to develop and maintain strong client relationships., 10. Strong analytical and problem-solving skills, with the ability to think strategically and provide practical legal advice., 11. High degree of professional ethics and integrity. This is an exciting opportunity for an ambitious and experienced Estate Planning Attorney to join a dynamic and highly professional team. If you are passionate about estate planning law and are committed to providing exceptional client service, we would love to hear from you. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

We are seeking a Senior Product Manager to lead the strategy and execution of data product, AI/ML system, AI-powered tooling, and automation initiatives across the go-to-market and operational teams embedded within Natera’s core business units (i. Experience shipping LLM-powered or AI products (pr

Comet is building the development platform for teams who want to ship robust, reliable, and responsible AI applications.Opik, our open source LLM evaluation framework, has quickly become one of the most popular tools in the space.Our experiment management platform is used by data scientists at compa

About PubNub ___ powers the world’s most engaging real-time experiences including chat, live updates, and interactive applications for over 2,000 companies including Verizon, Autodesk, Zillow, and Dropbox. Our global data network processes trillions of messages each month with sub-100 ms latency across 15+ data centers. Backed by $130M in funding, we’re shaping the future of how the world connects. The Role The Senior Solutions Architect is a cross-functional role with a focus on AI-driven solution design, scalable architecture patterns, and strategic customer engagement. We are looking for a Senior Solutions Architect to join our Americas team (Remote, Central/Eastern region). In this role, you’ll work closely with prospects and customers to design and implement real-time solutions using PubNub’s SDKs, APIs, and advanced platform features. You will act as a trusted technical advisor, helping customers build scalable, event-driven solutions, such as live events, real-time commerce, watch parties, digital health, and more, while driving adoption and long-term value from PubNub’s real-time communication platform. Key Responsibilities • Cross-Functional Planning: Lead solution strategy and planning across Product, Sales, and Engineering to align solution architecture with customer outcomes and enable scalable, coordinated execution., • Customer Engagement: Act as a trusted technical advisor, guiding customers through real-time application development and identifying opportunities to expand their use of PubNub’s platform., • Solution Design: Develop tailored solutions and architectures for enterprise use cases, ensuring seamless integration, scalability, and rapid time-to-market. ● Platform Expertise: Provide hands-on implementation guidance and best practices for PubNub’s SDKs, APIs, and platform components.., • Architecture Standardization: Define and document scalable architecture patterns that can be reused across strategic accounts, regions, and verticals., • Training & Enablement: Conduct customer workshops, internal knowledge-sharing sessions, and contribute to solution documentation to support technical adoption and long-term success. Minimum Requirements Core Qualifications & Experience • 5+ years in technical architecture, solutions engineering, product management, or developer tooling, with direct SDK/API implementation experience., • Hands-on experience developing and deploying applications for Web or Mobile platforms., • Demonstrated ability to align customer needs with product and engineering priorities, translating business requirements into scalable technical designs., • Experience driving technical pre-sales, enterprise customer engagements, or leading cross-functional delivery of platform-based solutions. Leadership & Collaboration • Ability to influence product direction through field insight and customer architecture planning., • Exceptional communication skills, including comfort working with C-level stakeholders, product teams, and developers alike. Developer Tools & System Integration • Strong coding fluency in at least one modern language (e.g., JavaScript, Python, Java/Kotlin, Swift, Dart, Ruby), with the ability to quickly apply those skills to other programming languages and platforms., • Experience building developer tooling or reusable architecture templates., • Familiarity with live collaboration environments (e.g., CodeSandbox, GitHub Codespaces), CI/CD pipelines, and testing/documentation best practices. Strategic Architecture and AI Expertise • Working knowledge of distributed systems and platform design concepts (e.g., Kubernetes, service mesh, secure APIs)., • Working knowledge of AI-enhanced solutions across use cases like personalization, prediction, automation, or real-time insights., • Familiarity with AI/ML frameworks and architectures (e.g., LLM integration, vector search). Preferred Attributes • Experience with real-time applications, messaging platforms, publish-subscribe systems, WebSockets, or event-driven systems., • Familiarity with security, privacy, and compliance frameworks (e.g., SOC2, HIPAA, GDPR)., • Background in developer experience (DX), technical writing, or developer community engagement., • Understanding of cloud infrastructure and networking fundamentals (e.g., AWS, HTTP, TCP/IP). Why Join PubNub • Work on real-time solutions at internet scale across industries like healthcare, fintech, streaming, and gaming, • Competitive Overall Compensation in the range of USD 175,000 – USD 180,000 per annum, • Remote-first culture with flexibility across the United States (Central/Eastern time zone preferred), • Equity in a profitable, fast-growing infrastructure company, • Inclusive, growth-focused team where your impact is recognized If you’re excited to design real-time architectures that power millions of users, we’d love to hear from you. PubNub is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All applications are reviewed for accuracy and may be subject to resume, identity, and experience verification as part of the hiring process. Please note that candidates must be legally authorized to work in the United States. This position is not eligible for visa sponsorship.

About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! We’re looking for a Regional Sales Director to build, coach, and scale a team of high-performing Account Executives. This leader will bring an enterprise-grade sales motion while helping the team win with a new generation of AI-native buyers. • Lead, coach, and develop a team of Account Executives selling DaaS across the US, • Drive pipeline generation, deal quality, and consistent execution across the team, • Instill a structured, multi-threaded, consultative sales motion, • Coach reps on selling into AI-native buyers (LLM companies, vertical AI startups) and AI-forward organizations, • Actively participate in strategic deals - help shape account strategy, pilots, and closing plans, • Build strong operating rigor: forecasting, pipeline hygiene, deal reviews, and inspection cadence, • Partner closely with Solutions Engineering, Delivery, Marketing, and Product, • Help refine messaging and GTM motion based on frontline customer insight, • Recruit, hire, and onboard top-tier AE talent, • 8-10+ years of quota-carrying sales experience, with 5-7+ years in frontline sales leadership, • Proven track record of leading teams that consistently exceed targets, • Experience selling complex, technical solutions (AI/ML, data infrastructure, or technical services), • Strong ability to coach reps on multi-threaded, consultative sales motions, • Comfortable engaging directly with technical buyers and senior stakeholders, • Experience operating in competitive, fast-evolving markets, • Highly structured operator with strong forecasting and inspection rigor, • High ownership, high standards, low ego Nice to Have: • Experience selling into AI/ML teams or developer-first products, • Background in high-growth or category-creating companies Be Your Best at Snorkel Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success. Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

About the Principal Product Manager, LLM Innovation at Headspace: We are seeking a Principal Product Manager, LLM Innovation to lead how Large Language Models (LLMs) are applied across Headspace to unlock new product capabilities, elevate member experiences, and drive business impact. Sitting at the intersection of product strategy, AI, and customer needs, this role owns the roadmap for LLM-driven innovation, guiding cross-functional teams to explore, validate, and scale generative AI solutions that support personalized care and engagement throughout the wellness journey. As the product leader in this space, you will translate emerging LLM opportunities into practical, user-centered products that align with business goals, accelerate responsible innovation, and position Headspace as a leader in applied generative AI within mental health and well-being. What you will do: • Define and own the vision, strategy, and roadmap for LLM-based product innovation across Headspace, • Identify, prototype, and validate high-impact generative AI use cases in partnership with engineering, research, and design, • Translate complex LLM capabilities into intuitive, valuable user experiences, • Drive cross-functional alignment across product, data science, design, go-to-market, and operations, • Establish scalable frameworks, best practices, and reusable systems for LLM integration, • Evaluate external tools, vendors, and partnerships to inform build vs. buy decisions, • Define success metrics and KPIs to ensure LLM initiatives deliver measurable user and business outcomes, • Serve as an internal thought leader and champion for responsible, forward-looking AI innovation What you will bring: Required Skills: • 10+ years in product management with at least 3+ years leading 10+ years of product management experience, including 3+ years leading AI or machine learning initiatives, • Strong technical fluency in Large Language Models (LLMS), generative AI, natural language processing, and AI-driven product development, • Proven ability to take emerging technologies from exploration to scalable product impact, • Strategic thinker with the ability to execute, balancing long-term vision with delivery, user-first mindset with a track record of translating technical capabilities into customer value, • Exceptional communication and cross-functional leadership skills, • Strong understanding of the generative AI landscape, including vendors, research trends, and regulatory considerations Location: We are currently hiring this role in San Francisco (hybrid), Los Angeles (remote), New York City (remote) and Seattle (remote). Candidates must permanently reside in the US full-time and be based in these cities. For candidates with a primary residence in the greater SF area, this role will follow our hybrid model. You’ll work 3 days per week from our office, allowing for impactful in-office collaboration and connection, while enjoying the flexibility of remote work for the rest of the week. Your recruiter will share more details about our hybrid model. Pay & Benefits: The anticipated new hire base salary range for this full-time position is $205,200-$327,750 + equity + benefits. Our salary ranges are based on the job, level, and location, and reflect the lowest to highest geographic markets where we are hiring for this role within the United States. Within this range, individual compensation is determined by a candidate’s location as well as a range of factors including but not limited to: unique relevant experience, job-related skills, and education or training. Your recruiter will provide more details on the specific salary range for your location during the hiring process. At Headspace, base salary is but one component of our Total Rewards package. We’re proud of our robust package inclusive of: base salary, stock awards, comprehensive healthcare coverage, monthly wellness stipend, retirement savings match, lifetime Headspace membership, generous parental leave, and more. Additional details about our Total Rewards package will be provided during the recruitment process. About Headspace Headspace exists to provide every person access to lifelong mental health support. We combine evidence-based content, clinical care, and innovative technology to help millions of members around the world get support that’s effective, personalized, and truly accessible whenever and wherever they need it. At Headspace, our values aren’t just what we believe, they’re how we work, grow, and make an impact together. We live them daily: Make the Mission Matter, Iterate to Great, Own the Outcome, and Connect with Courage. These values shape our decisions, guide our collaborations, and define our culture. They’re our shared commitment to building a more connected, human-centered team—one that’s redefining how mental health care supports people today and for generations to come. Why You’ll Love Working Here: • A mission that matters—with impact you can see and feel, • A culture that’s collaborative, inclusive, and grounded in our values, • The chance to shape what mental health care looks like next, • Competitive pay and benefits that support your whole self How we feel about Diversity, Equity, Inclusion and Belonging: Headspace is committed to bringing together humans from different backgrounds and perspectives, providing employees with a safe and welcoming work environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace. *Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Headspace. Please inform our Talent team by filling out ___ if you need any assistance completing any forms or to otherwise participate in the application or interview process. Headspace participates in the ___. Privacy Statement All member records are protected according to our___. Further, while employees of Headspace (formerly Ginger) cannot access Headspace products/services, they will be offered benefits according to the company's benefit plan. To ensure we are adhering to best practice and ethical guidelines in the field of mental health, we take care to avoid dual relationships. A dual relationship occurs when a mental health care provider has a second, significantly different relationship with their client in addition to the traditional client-therapist relationship—including, for example, a managerial relationship. As such, Headspace requests that individuals who have received coaching or clinical services at Headspace wait until their care with Headspace is complete before applying for a position. If someone with a Headspace account is hired for a position, please note their account will be deactivated and they will not be able to use Headspace services for the duration of their employment. Further, if Headspace cannot find a role that fails to resolve an ethical issue associated with a dual relationship, Headspace may need to take steps to ensure ethical obligations are being adhered to, including a delayed start date or a potential leave of absence. Such steps would be taken to protect both the former member, as well as any relevant individuals from their care team, from impairment, risk of exploitation, or harm. For how how we will use the personal information you provide as part of the application process, please see:

This is a critical leadership role, responsible for scaling and evolving our customer success strategy, building a high-performing team, and delivering exceptional value to our enterprise software customers across cutting-edge AI domains—including large language models (LLM), computer vision (CV),

As a Senior Software Engineer on our Trust & Safety team at Vercel, you’ll build and operate systems that protect millions of developers and projects from abuse at internet scale. This role blends security engineering, data analysis, and applied LLM techniques, working closely with product, infras

Sr. Engineering Manager, AI/ML Serving Platform The AI/ML Serving Platform team provides foundational tools and infrastructure used by hundreds of AI/ML engineers across Pinterest, including recommendations, ads, visual search, growth/notifications, trust and safety. We aim to ensure that AI/ML systems are efficient, healthy (production-grade quality) and fast (for modelers to iterate upon). Pinterest is seeking a Sr. Engineering Manager to lead the team that builds the serving and deployment infrastructure for all AI/ML models at Pinterest. Systems include: • Ultra-high-performance C++ model inference engine for production recommendations and content ranking systems. TorchScript + CUDA Graph models on GPU inference, serving 500+M inferences/second., • Production GenAI & LLM model inference stack for emerging use cases., • Model routing, deployment, monitoring. Kubernetes-based provisioning., • Feature fetching, caching, and logging What you’ll do • Lead the team to deliver continual improvements in advanced model architectures, cost-efficient resource utilization, and AI/ML developer productivity., • Set technical direction for the team based on company and org priorities, • Coach and develop talent on the team. What we’re looking for: • Experience managing platform engineering teams with many cross-organizational customers, • Experience leading the development of large-scale distributed serving systems, • Experience with AI/ML inference technologies (e.g. PyTorch, TensorFlow) for online serving at Web scale, • Bachelor’s degree in Computer Science, a related field or equivalent experience. In-Office Requirement Statement: • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection., • This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. Relocation Statement: • This position is not eligible for relocation assistance. Visit our___ page to learn more about our working model. #LI-REMOTE #LI-AH2

We’ve built an AI-native internal platform that powers every aspect of our Amazon brand management business. AI isn’t a feature — it’s the backbone. • LLMs classify and respond to inbound communications, • AI generates pre-call intelligence briefs from raw enrichment data, • A RAG system feeds context into every generation pipeline, • 17+ background services, • 130+ frontend pages, • 214 backend services, • 184 database tables, • Classify inbound messages by category, intent, urgency, and tone, • Generate contextual responses using enrichment data, • Implement human approval gates, • Transform raw enrichment data into structured pre-call briefs, • Generate: background, pain hypotheses, talking points, rapport hooks, • Vector database with embeddings, • Markdown-aware chunking, • Async ingestion workers, • Semantic search API, • Process RSS feeds, social media, video platforms, and search trends, • Generate reports, forecasts, and content drafts, • Run autonomously on scheduled jobs, • Multi-agent system (outline → audit → generate), • Binary quality gates (PASS/FAIL with citations), • Supports multiple content formats, • Enrich leads with product data and market insights, • AI scoring and qualification grading, • Automated audit reports, • Slack operations, • Scheduling workflows, • Email triage and follow-ups, • Build AI pipelines for client performance insights, • Improve RAG retrieval quality, • Add tool use for real-time data in LLM pipelines, • Debug classification errors in AI systems, • Optimize LLM costs and performance, • Build dashboards for AI metrics and usage, • Add observability to pipelines, • Expand content quality systems, • Production LLM experience (Claude/OpenAI in real systems), • RAG system experience (embeddings, retrieval, chunking, context handling), • 3+ years TypeScript / Node.js, • Strong React skills, • PostgreSQL (queries, migrations, indexing), • API integrations (REST, OAuth, webhooks), • Multi-agent LLM systems, • Anthropic Claude expertise, • Vector search / embeddings, • Slack API experience, • Ad platform APIs (Meta, Google, LinkedIn), • LLM observability (cost, tracing, monitoring), • Amazon / eCommerce experience, • AI-assisted dev tools (Cursor, Claude Code, etc.), • Competitive salary based on experience, • High-impact role with strong ownership, • Opportunity to scale cutting-edge AI systems to world-class level

RIA Solutions Group is looking for a talented .NET Team Lead based in the United States (East Coast) to join our team and contribute to the development of high-quality software solutions for a FinTech client in the United States. The client’s mission is centered around their unwavering dedication to ensuring customer satisfaction, providing innovative solutions, and maintaining a steadfast commitment to efficiency in its work field. As a .NET Team Lead you will be responsible for contributing across the full software development lifecycle, and you will have the opportunity to work on mission‑critical financial features used by professional investors and advisors. The utilized Tech Stack in the development process: C# .NET, ASP.NET, .NET Core, ReactJS, SQL, Swagger, Kubernetes Responsibilities: 1. Technical Leadership & Hands-On Development • Perform hands-on development as the most senior developer on the team, leading the design and implementation of features and services, • Provide guidance on architecture, design patterns, coding standards, and best practices, • Mentor staff on technical skills, providing constructive coaching and feedback., • Identify technical risks and propose mitigation strategies early in the lifecycle; raise and track technical debt, ensuring visibility and prioritization, • Coordinate with other team leads (e.g. PHP, JavaScript, Java) to ensure cross-language deliverables maintain high quality, • Promote effective use of CI/CD, logging, monitoring, and performance optimization, • Refactor legacy, stateful MVC views and controllers to stateless, message-driven patterns, • Design and implement backend endpoints that expose functionalities to internal and external consumers, • Update and validate cryptography and messaging-related dependencies for backend services, • Implement and evolve shared infrastructure for functionalities used across systems. 2. Onshore Lead & Restricted-Access Activities • Own and execute tasks that require onshore/on-premises or elevated permissions, including but not limited to:, • Operations in upper environments (e.g., UAT, pre-prod, staging, production), • CI/CD actions related to upper-environment and production deployments, • Access-controlled operations on infrastructure, databases, or secret-management systems, • Act as a primary onshore owner for deployments to upper environments, production releases, and associated coordination, • Coordinate with DevOps/operations teams to ensure repeatable, auditable, and safe deployment processes, including proper validation, smoke testing, and rollback plans, • Contribute to the planning and execution of product version upgrades and hotfixes, in collaboration with platform leads and DevOps. 3. Scrum & Delivery Process • Participate in the agile development process, reporting to the development manager on team status and ensuring all agile processes are followed, • Provide leadership and oversight of the Scrum/delivery process, in partnership with Product and Scrum Master roles where applicable, • Translate user stories into technical tasks with the team; support backlog refinement by ensuring technical clarity, feasibility, and clear decomposition into estimable stories, • Promote disciplined use of branching, merging, testing, and deployment practices, • Participate in or facilitate standups, planning, refinement, retrospectives, and change control or release meetings. 4. Architecture & Governance • Participate in the architecture committee., • Identify items that require architectural review (e.g., significant design changes, new patterns, major integrations, or data changes), • Prepare and present options and recommendations for architectural decisions, • Ensure implementations adhere to agreed architecture decisions, security/performance/compliance requirements, and shared frameworks and standards 5. Collaboration & Coordination • Work with product management to completely understand desired deliverables and set the plan for how the team will deliver the solution., • Work with development management, other leads, QA leaders, and the architect to ensure the technical solution fits into the overall product architecture and design., • Work closely with offshore leads and developers to ensure clear division of responsibilities, smooth handoffs across time zones, and shared understanding of priorities, risks, and dependencies., • Participate in cross-team impact analysis for new features and platform changes, • Provides updates to the company’s technology community and IT leadership about relevant technology and industry changes, through technical, architecture, and leadership forums. Requirements: • Bachelor’s or Master’s degree in Computer Science or related technical field, • 7+ years of experience developing C# .NET, ASP.NET, .NET Core and microservices, • Strong experience with MS SQL/relational databases, including view generation, stored procedures, and dynamic/custom field data scenarios, • Experience with ReactJS, TypeScript, JavaScript, • Experience with API mechanisms (Swagger), • RESTful API design, including pagination, filtering, versioning, and secure access control, • Experience/understanding developing and/or working with front end technologies, containers & container orchestration (Kubernetes), encryption and CI/CD pipelines, • Proficient in leveraging LLM-based tools and platforms (e.g., OpenAI, Anthropic) to support and accelerate development workflows, • Hands-on experience working with AI-assisted development environments and multi-agent tools to enhance code quality, debugging, and delivery speed, • Strong analytical ability to quickly debug complex issues with a variety of system debugging tools, • Ability to grasp difficult concepts, large architectures, and sophisticated designs quickly, • Ability to provide short tactical and long-term strategic solutions and provide the risks associated with each, • Experience with configuration management, • Experience modernizing legacy web applications, especially converting stateful/session-based flows to stateless patterns, • Committed to ongoing professional development, • Fluent in English, both verbal and written. About Us: Headquartered in Winston-Salem, North Carolina, RIA Solutions Group is a visionary software development company. With extensive expertise across industries and a global presence, we work closely with international clients to accelerate innovation and boost business performance. Looking for a dynamic and driven team to be a part of? Our company of highly skilled professionals is in search of talented individuals like you to join our one-of-a-kind environment. We are eagerly waiting for your response. And if you happen to know someone who would be a great fit, please reach out to us at ___

Company Description: Rewst is a tool designed for Managed Service Providers (MSPs) to streamline and automate their processes, saving valuable time and effort. Our platform helps MSPs achieve big automation wins, resulting in increased productivity and efficiency. We value the flexibility of remote work and enjoy opportunities to collaborate in person on occasion. We’re looking for a highly technical and motivated Senior Automation Test Engineer to join our QA team at Rewst. In this role, you’ll work primarily alongside the QA Automation Architect to help design, build, and maintain the automation frameworks that underpin quality across the platform. You’ll also take a leading role in leveraging AI-assisted tooling and agent-based approaches to accelerate test creation, and you’ll contribute to performance and load testing efforts as the team matures its testing capabilities. Automation Framework Development * Work closely with the QA Automation Architect to build, maintain, and evolve scalable and reusable test automation frameworks covering both UI and API layers. * Develop and maintain automated test scripts for UI workflows and API endpoints, supporting functional, regression, and performance testing requirements across the platform. * Ensure automation solutions integrate seamlessly with CI/CD pipelines to enable continuous testing and rapid feedback loops. * Contribute to automation best practices, coding standards, and shared tooling to support QA engineers across squads. * Identify gaps in test coverage and work proactively to address them through expanded automation. * Pick up and validate tickets from the Platform squad, testing and verifying platform-level changes as part of the broader QA workflow. AI-Assisted Test Creation * Leverage AI tools and agent-based frameworks (e.g., Claude or similar LLMs) to accelerate test generation, maintenance, and coverage expansion. * Build and refine agent skills and prompting strategies that enable reliable, repeatable AI-assisted test authoring. * Collaborate with the QA Automation Architect to integrate AI-assisted approaches into the broader automation workflow in a maintainable and scalable way. * Stay current on emerging AI tooling relevant to software testing and advocate for adoption where it delivers measurable value. Performance Testing * Assist in the design and execution of performance and load testing efforts to validate application behavior under realistic and peak conditions. * Work with tools such as JMeter, k6, or similar to build performance test suites and analyze results. * Identify performance bottlenecks and communicate findings clearly to engineering and product stakeholders. Collaboration & Continuous Improvement * Partner with developers, QA engineers, and the QA Automation Architect to ensure automation efforts align with feature development and application requirements. * Analyze test execution results and provide clear reporting on defects, coverage, and automation health. * Share knowledge and provide guidance to QA engineers building automation skills across squads. * Advocate for continuous improvement in testing processes, tooling, and infrastructure. * 5+ years of experience in a software development engineering in test, QA automation, or equivalent engineering role. * Strong programming skills in one or more of the following: Python, JavaScript, TypeScript, or Java. Familiarity with version control tools (e.g., Git). * Experience with both UI automation (e.g., Playwright, Selenium, Cypress) and API automation (e.g., Postman, REST Assured, or similar), including familiarity with REST APIs, JSON, and related content formats. * Experience integrating automated tests with CI/CD tools like Jenkins, GitLab CI, or CircleCI. * Demonstrated experience or strong interest in leveraging AI tools and LLM-based agents to assist with test creation and automation workflows. * Familiarity with performance and load testing concepts and tools (e.g., JMeter, k6, Locust, or similar). * Strong analytical and problem-solving skills with the ability to identify root causes and build effective solutions. * Excellent written and verbal communication skills, including the ability to explain technical concepts to non-technical stakeholders. * Comfortable operating with autonomy in a fast-paced, evolving environment with shifting priorities. * Experience building or contributing to AI agent workflows or prompt engineering for software testing use cases. * Experience with cloud-based testing environments (AWS, Azure, GCP). * Previous experience in a Robotic Process Automation (RPA) company or low-code/no-code platform. * Familiarity with Agile methodologies (Scrum, Kanban) and experience working in Agile teams. * Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. * Opportunity to make a significant impact in a fast-growing startup environment. * Collaborative and inclusive culture that values creativity, diversity, and innovation. * Flexible work arrangements and a supportive work-life balance. * Competitive compensation package, including equity options and benefits. Why Join Us: * Opportunity to make a significant impact in a fast-growing startup environment * Collaborative and inclusive culture that values creativity, diversity, and innovation * Competitive compensation package, including equity options and benefits * Flexible work arrangements and a supportive work-life balance

Who We Are Renew Home is on a mission to change how we power the world by making it easier for customers to save energy and money at home as part of the largest residential virtual power plant in North America. We partner with industry-leading brands to better manage residential energy for users by prioritizing efficiency, savings, and comfort — and cleaner energy for everyone. We are an Equal Opportunity employer striving to create a diverse, equitable, and inclusive work environment where everyone feels that they have a voice that is heard. We strongly encourage candidates to check out our website at ___ to learn more about the world-changing work we are doing. Role Summary Renew Home is looking for a Senior Software Engineer in Test and Automation to join our team, and play a key role in establishing robust automation testing frameworks and culture within our organization. You will design and maintain the pipelines, quality gates, and automated checks that let our teams ship confidently and frequently across a 50+ service Nx monorepo. Beyond pipelines, you will build and expand automation frameworks that interact with thermostats, EVs and batteries, define testing standards, and embed a quality-first culture across a mission-driven engineering organization. What You Will Do • Own and evolve our CI/CD pipelines — designing quality gates, test stages, deployment checks, and failure alerting across GitHub Actions workflows in a large Nx monorepo., • Define and enforce pipeline standards: what runs on every PR, what gates a merge, what gates a deploy, and how test results are surfaced to engineers., • Design and implement scalable test automation frameworks for integration and end-to-end testing of distributed systems spanning Python/FastAPI backends, React/Remix frontends, PostgreSQL, and event-driven infrastructure on AWS and GCP., • Expand automated test coverage across the test pyramid — with particular focus on integration and E2E layers that are hardest to maintain at speed., • Partner with software engineers to instrument their services with automated tests and wire those tests into CI., • Analyze flaky tests, slow pipelines, and production incidents to drive continuous improvement in test coverage, pipeline reliability, and release confidence., • Develop and maintain test plans, quality metrics, and documentation that keep teams aligned on coverage expectations., • Advocate for automated testing and continuous quality improvement across the organization., • Participate in on-call rotations and ensure strong operational standards., • 5+ years of experience testing web-based applications in a professional engineering environment., • Demonstrated hands-on ownership of CI/CD pipelines — not just using them, but designing, maintaining, and improving them (GitHub Actions strongly preferred)., • Strong software engineering background with proficiency in Python and SQL; comfort reading and contributing to TypeScript/React codebases., • Experience building and maintaining test automation frameworks across frontend, backend, and database layers., • Experience with web automation tools such as Playwright, Selenium, or BrowserStack., • Deep understanding of test pyramid strategy and how to apply it in a fast-moving release cycle., • Strong problem-solving, communication, and independent execution skills., • Bachelor's degree in Computer Science or equivalent experience., • Bonuses:, • Fluency with AI-assisted development tools with an eye for secure, scalable and robust services. You use coding agents, LLM-driven code review, and AI-powered debugging to move faster and raise the quality bar, and you have a point of view on where they help and where they don't., • Experience with our stack: Python, FastAPI, React, Remix, PostgreSQL, Nx, AWS (Lambda, S3, Aurora), GCP Pub/Sub, Prefect, dbt., • Familiarity with Nx's affected-graph model and how to scope CI runs efficiently in a large monorepo., • Experience with Playwright's component and E2E testing in a Remix or React application., • Experience with pytest, pytest-asyncio, and database fixture patterns (no mocking — real DB)., • A full-time position, with a competitive salary based on experience. The base salary for this role is: $160k - $200k. We use market data and consider your job family, background, skills, experience, and U.S. work location to determine compensation within our established pay range., • Fully remote work environment with home office set-up allowance., • Real and lived work-life balance - Company perks include no pre-set vacation limits (with a top-down culture of taking meaningful PTO every year!), parental leave benefits, and a corporate value of working sustainably and putting families first., • Competitive benefits package that includes numerous health and wellness benefits., • 401(k) plan, with employer contributions to the same., • Opportunity to work with amazing people who are passionate about their mission, thriving in a fully-remote work environment, and learning and growing every day. At this time, Renew Home is unable to sponsor or take over sponsorship of employment visas. Candidates must be authorized to work in the United States without current or future immigration from the company, including training plans for foreign students. EQUAL OPPORTUNITY EMPLOYER Individuals seeking employment at Renew Home are considered without regard to race, color, religious creed, sex, gender identification, national origin, citizenship status, age, physical or mental disability, sexual orientation, marital, parental, veteran or military status, unfavorable military discharge, or any other status protected by applicable federal, state or local law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Experience with training/tuning ML/AI models is a plus: software engineers on this team can certainly contribute in this arena. Implement AI/LLM/ML tools our ML engineers are building (and if you’re willing, contribute to the building of them yourself!). If you are an AI/ML-passionate software eng

At August Health, our mission is to empower the essential work of caring for our elders. We achieve this by providing a modern operating platform and electronic health record (EHR) that enables senior living operators to deliver high-quality care with confidence. Caregivers are the heart of senior living communities, embodying care, compassion, and well-being. Yet, they face increasing challenges—higher resident acuity, complex workflows, and staffing shortages. At August Health, we build tools that simplify their tasks, eliminate inefficiencies, and provide the insights they need to focus on what truly matters—caring for residents. At August, we strive to live our values each day, in every interaction with our customers and with each other. * Be responsible – leave things better than you found them * Take ownership – be decisive and take action * Be ambitious – build something great * Keep an open mindset – communicate candidly and welcome new ideas * Be humble – celebrate each others’ successes and learn from our mistakes * Stay positive – assume best intent We're looking for a Platform Engineer who thrives at the intersection of reliability, security, and developer productivity. You'll be a core contributor to our infrastructure — owning the systems that keep August Health fast, secure, and resilient as we scale. This is a high-autonomy, high-impact role. You'll work closely with our engineering team to shape how we build, deploy, and operate software — with real influence over architecture decisions and engineering culture. * Infrastructure as code — managing and evolving our AWS infrastructure using Pulumi, with a focus on reliability, cost efficiency, and maintainability * Kubernetes platform — operating and improving our K8s clusters: workload scheduling, resource management, networking, and observability * CI/CD pipelines — owning and optimizing our GitHub Actions workflows to keep builds fast, feedback tight, and deployments safe * Security & compliance — hardening our infrastructure posture, supporting audit readiness, and implementing controls that meet the requirements of operating in healthcare * Data pipeline infrastructure — supporting the reliable operation of our data engineering workflows * LLM tooling — deploying and maintaining prompt tracing, evaluation, and observability tools as we integrate AI capabilities into our product * Network & access — managing secure, zero-trust connectivity via Tailscale across our distributed infrastructure * Disaster recovery & incident response — designing, documenting, and regularly testing DR/IR processes so we're always ready * Strong hands-on experience with AWS — particularly EKS, Cognito, Aurora, RDS, Lambda, and VPC; you can make smart tradeoff decisions across services and know when to reach for each * Proficiency with Kubernetes in production — you've operated clusters at scale and know how to debug when things go wrong * Experience with infrastructure as code, ideally Pulumi or a similar tool (Terraform, CDK) * Comfort with GitHub Actions or similar CI/CD systems — you've built and optimized pipelines, not just used them * A security-minded approach — you think about least privilege, secrets management, and compliance by default; experience working toward or maintaining SOC 2 and/or HIPAA compliance is important, not just a nice-to-have * Solid observability experience — you're comfortable with Prometheus, have instrumented backend services before, and can look at an existing metrics setup and form a point of view on what's missing or misleading * Familiarity with data pipeline infrastructure, including tools like Snowflake and Apache NiFi * Strong communication skills — you can explain infrastructure decisions to non-infrastructure engineers, and you write good documentation * Self-direction — you can identify what needs doing, prioritize well, and drive projects to completion without heavy oversight * Experience with Tailscale or other zero-trust networking tools * Ability to read and write backend code in Scala or Java — the ideal candidate is comfortable enough to review or contribute to application code, not just the infrastructure around it * CKA (Certified Kubernetes Administrator) certification from the Linux Foundation * Prior work in a healthcare or other regulated industry, with hands-on experience maintaining SOC 2 or HIPAA compliance * Experience deploying LLM observability or evaluation tooling (e.g., Langfuse, Phoenix, Helicone, or similar) Our team brings together deep expertise in technology, healthcare, and company-building. We’ve led teams at Apple, Google, Landmark Health, and Adobe, co-founded and exited multiple companies, shipped products used by hundreds of millions of users, and managed clinical teams caring for thousands of patients. Backed by top-tier Silicon Valley investors, we are partnering with some of the largest senior care organizations in the U.S. to transform the future of senior living. We offer market-competitive compensation based on experience and ability, including significant equity option grants. Our benefits prioritize your well-being with 100% company-paid premiums for health, dental, and vision coverage, along with company contributions to your HSA. We help you plan for the future with a 2% 401(k) match, and support your physical and mental health through services like Rightway Health Advocacy and Spring Health Mental Wellness. Beyond traditional benefits, we offer a flexible time off policy, 100% paid family leave, and all-expenses-paid, in-person company offsites twice a year.

We’re looking for a Senior Software Engineer who builds with AI as a core part of their workflow, not as an afterthought. In this role, you’ll work directly with founders and executive leadership to take new ideas from zero to one at AI-accelerated speed. You should be comfortable working across the stack, moving quickly from idea to working software, and using AI-assisted development tools (Claude, Cursor, etc.) to dramatically accelerate your output. This isn’t about prompting a chatbot. We want someone who understands how to decompose problems, architect solutions, and use AI tooling to handle the tedious parts so they can focus on the hard parts. You should have strong engineering fundamentals, the judgment to know when AI-generated code is good enough and when it needs a human eye, and the ability to navigate the ambiguity that comes with building something that doesn’t exist yet. For San Francisco-based area candidates, this would be a hybrid role with 2-3 days in office at our Morgan Hill, CA office for collaboration. • Take new ideas from 0 to 1 by building innovative prototypes, validating them quickly, and shipping the ones that work, • Work directly with founders, executives, and engineering leadership to identify high-impact opportunities and turn them into working software, • Use AI-assisted development tools daily as a force multiplier by writing, reviewing, and refactoring code faster without sacrificing quality, • Work across the stack as needed. Frontend, backend, etc, • Engage directly with customers to understand their problems and validate that what you’re building actually solves them, • Collaborate closely with product managers and designers in a small-team environment where your input shapes direction, not just implementation, • Contribute to the team’s tooling and workflows, helping us get better at building software quickly and reliably, • Operate with a high degree of ownership and autonomy. You won’t be waiting around for detailed specs; instead, you’ll be helping define what gets built, • Minimum of 5+ years of professional software engineering experience, • Strong fundamentals in at least one modern language (TypeScript, Python, Go, etc.) and genuine comfort working across the stack, • Demonstrated use of AI-assisted development tools in your daily workflow, not just experimentation, but real integration into how you build software, • Experience taking products or features from concept to production in environments where the path wasn’t fully defined, • Bachelor’s degree in Computer Science or a related field, or equivalent practical experience. What you’ve built matters more than where you studied, • Ability to move fast and make pragmatic trade-offs, • Solid understanding of web technologies, APIs, and cloud infrastructure, • Experience with React and TypeScript is a strong plus, given our stack, • Good instincts for code quality, testing, and knowing when “good enough” is actually good enough, • Comfortable talking to customers and translating their needs into technical solutions, • Comfort with ambiguity and fast-changing priorities. You thrive when given a problem, not a prescription, • You’ve taken something from zero to one a product, a feature, a prototype, and can talk about how you navigated the ambiguity to get there, • You’ve built internal tools, automations, or workflows using AI that made your team meaningfully faster, • You can talk concretely about how AI tools change the way you architect, debug, or review code, and not just that you use them, • Experience with LLM APIs, prompt engineering, or building AI-powered product features, • You’ve shipped production software in a startup or fast-moving environment, • Background in SaaS, vertical software, or products serving SMBs In the United States, the range is typically a salary of $175,000 to $200,000 + bonus + equity + benefits. The range provided is Shopmonkey’s reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as location, experience, training, skills, and abilities. Consult with your Recruiter during the initial call to determine a more targeted range based on these job-related factors. In addition to this base compensation company stock options and benefits as outlined below are included. Shopmonkey has become an amazing environment where employees feel that they are valued as people, and not just worker bees. To ensure that our team thrives, we invest in the following perks (benefits below are mainly for U.S. based, full-time employees). Other benefits vary upon location outside of the United States, and employment status: • Medical, dental, vision, and life insurance benefits available the 1st of the month following hire date, • Short term and long term disability, • Employee assistance program, • Reimbursement for a personal health and wellness membership, • Generous parental leave, • 401(k) available upon hire, • 11 paid holidays, • Flexible time off - take the time off you need!, • Matching donations for approved charitable organizations, • Group volunteer efforts Check out our ___, ___, or ___ about what it’s like to work at Shopmonkey. Join our team of ___ who love what they do, and change the auto industry by helping every shop thrive. The U.S. is the second largest passenger vehicle market with more than 260 million registered passenger vehicles, and the global car repair market is estimated to be worth more than $500B. Shopmonkey aims to change the status quo and enable auto shops to become more efficient and give their customers a more delightful experience. Shopmonkey is the leading auto-repair shop software company; it is a cloud-based solution that helps auto-repair shops consolidate tools, save time, and streamline their entire operation onto a simple, easy-to-use platform. Headquartered in Silicon Valley and trusted by more than 3,500+ auto shops across the U.S. and Canada, Shopmonkey aims to change the status quo of the car repair market, estimated to be worth more than $500B. In 2021 Shopmonkey ___ a $75 million Series C, supported by top-tier Silicon Valley venture capital firms Bessemer Venture Partners, Index Ventures, Headline, I2BF, and ICONIQ Growth. In 2022, Shopmonkey ___ #4 on Forbes' annual ranking of America's Best Startup Employers list (and #1 in Business Products & Software Services). Shopmonkey was once again named as one of America's Best Startup Employers by Forbes in ______, and 2025! Shopmonkey is committed to building a diverse and inclusive team. We are looking for team members from all backgrounds that are committed to the Shopmonkey mission. Shopmonkey provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. 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. Shopmonkey is committed to the full inclusion of all qualified individuals. In keeping with our our commitment, Shopmonkey will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact our Talent Team at ___. Please note: Shopmonkey will never request sensitive information such as your social security number, bank account information, or other non-publicly available information during the application and interview process. If an applicant is extended an offer of employment, such sensitive information will be requested at that time. Shopmonkey will never ask you to receive and ship packages or goods as part of the interview. Other practices to be on alert for: • Contact initiated via unsolicited text message or cold call. Shopmonkey does not follow up with candidates through instant messaging applications., • Our Talent Acquisition team only corresponds from email addresses with the domain ‘@Shopmonkey.io’. If a generic email ID ending with Gmail/Yahoo or other domain is used while receiving a job offer or interview call, there is a likelihood of a scammer., • While some of our jobs can be found on third party job sites, all of our current job opportunities and descriptions are posted on Shopmonkey’s ___ page, or our official ___ The U.S. Federal Trade Commission has published helpful articles to help individuals learn more about protecting themselves from ___ and ___. If you believe you were a victim of such a scam, you may contact your local law enforcement agencies. Shopmonkey is not responsible for any claims, liability, losses, damages, or expenses resulting from scammers or impersonators.

Brale is building the future of programmable finance with compliant, blockchain-native infrastructure. We help businesses launch, scale, and operate digital asset programs with confidence. Customer Success is at the core of how Brale accelerates launches, drives sustainable outcomes, and creates trusted customer value. As Brale’s first Customer Success hire, you won’t just support clients, you’ll shape hey build and benefit from stablecoins from day one. Every launch, onboarding, and proactive solution you deliver will set the standard for how we scale trust in stablecoins and programmable finance. This founding role sits at the intersection of customer experience, technical execution, and growth. You’ll own the journey post-signature, guiding clients from first integration to ongoing value, while building the systems, playbooks, and culture that make Brale’s CS function both responsive and anticipatory. Your work will accelerate time-to-live, drive adoption and retention, ensure compliance, and uncover new opportunities across currencies, chains, and workflows. In short, you’ll turn customer relationships into Brale’s most powerful growth engine and play a central role in building multiple $100M+ ARR business lines. * Act as the founding individual contributor. Own onboarding, relationship management, and customer growth while establishing Brale’s Customer Success foundation. * Build, evolve, and scale an AI-powered LLM to serve as the front line for Customer Success, ensuring proactive engagement, consistency, and efficiency at scale. * Create modern processes for issue management, escalation, and cross-functional resolution, with accountability to clear customer SLAs and business outcomes. * Transition into leadership by strategically hiring, onboarding, and coaching team members where human expertise adds the most value via a lean, technology-enabled CS discipline. * Serve as the directly responsible individual (DRI) for getting clients live on Brale, thereby owning the journey from signed agreement to first live transaction. * Lead end-to-end client onboarding, with a focus on speed, clarity, and customer confidence. * Implement systematic processes for ticketing, sandbox/prod setup, and API integration * Deliver a frictionless onboarding experience that reduces churn risk * Define explicit success metrics for each program (issuance volume, transactions, revenue share, SLAs) * Lead QBRs and health reviews to drive adoption, retention, and expansion * Identify opportunities to extend programs across chains, currencies, and new workflows * Ensure customer programs operate within approved flows of funds and regulatory frameworks * Coordinate attestations, reporting cadences, and compliance checkpoints in coordinate with Brale Compliance discipline * Provide best practices for API usage, automations, and runbooks * Triage and escalate customer issues with clear SLAs * Identify and flag recurring issues or patterns across customers, ensuring they are prioritized and resolved working with Product, Engineering, and Operations. * Capture structured feedback informing roadmap, process improvement and case studies * Establish CS playbooks, dashboards, and customer health scoring models * Collaborate cross-functionally with Sales, Product, Eng, Finance, Legal and Compliance * Time-to-live ≤ 30 days from signature to first mint * Time-to-value ≤ 60 days to first revenue share payout * Retention: ≥95% logo retention; ≥120% net revenue retention * 100% compliance hygiene and on-time attestations * CSAT ≥ 4.7/5 * 5-7 years of progressive experience in Customer Success or related roles, demonstrating the ability to be both a strong do-er and an effective leader, either as a top individual contributor ready to step into leadership or as an established leader with 2–3+ years managing CS. * Blockchain-native or deeply passionate about crypto and payments. Experienced in fintech. * Well versed working cross functionally with compliance, legal, risk and finance functions * Entrepreneurial mindset: thrives in ambiguity and building from scratch * Ability to manage escalations and provide calm leadership in high-stakes moments * Multidisciplinary fluency across technical, legal, and operational contexts * Strong ability to build and maintain relationships with client leadership * Hands-on experience with Intercom, Slack/Telegram support, and/or AI-driven CS tools * Available in U.S. time zones with flexible responsiveness to customer needs * Founding Customer Success role with direct impact on Brale's trajectory * You enjoy learning something new every 9 minutes. * Opportunity to build CS systems and culture from the ground up * High-growth environment with exposure to cutting-edge blockchain applications * Collaborative, ambitious, and mission-driven team

Cornelis Networks delivers the world’s highest performance scale-out networking solutions for AI and HPC datacenters. Our differentiated architecture seamlessly integrates hardware, software and system level technologies to maximize the efficiency of GPU, CPU and accelerator-based compute clusters at any scale. Our solutions drive breakthroughs in AI & HPC workloads, empowering our customers to push the boundaries of innovation. Backed by top-tier venture capital and strategic investors, we are committed to innovation, performance and scalability - solving the world’s most demanding computational challenges with our next-generation networking solutions. We are a fast-growing, forward-thinking team of architects, engineers, and business professionals with a proven track record of building successful products and companies. As a global organization, our team spans multiple U.S. states and six countries, and we continue to expand with exceptional talent in onsite, hybrid, and fully remote roles. We are seeking an experienced Senior Software Engineer to design, develop, and optimize middleware for storage applications on CN platforms. This role focuses on improving performance, scalability, and reliability for customer storage environments and enabling storage software to run effectively over Cornelis Networks solutions. The ideal candidate has strong experience in C/C++ on Linux, performance-focused systems software, and storage technologies. Key Responsibilities • Own the design and development of middleware for storage applications on CN platforms, with a focus on performance, scalability, and production readiness., • Work with customer-relevant storage technologies (Lustre, WEKA, BeeGFS, DAOS, etc.) to improve integration, resolve performance issues, and enable strong end-to-end behavior in distributed environments., • Analyze storage workloads, reproduce issues, develop benchmarks, and deliver fixes or enhancements based on real customer use cases and measured system behavior., • Collaborate across kernel/driver, firmware, fabric management and performance teams to support product development, ecosystem enablement, and advanced customer escalations., • Participate in design reviews, code reviews, CI, and long-term maintenance., • Contribute upstream open-source storage software projects where appropriate., • Operate as a self-motivated "owner," taking full responsibility for features from initial ideation through to remote deployment and maintenance., • Execute with precision in a fast-paced culture, balancing the need for rapid shipping with the long-term stability required for networking & storage infrastructure Minimum Qualifications • Experience in high-performance systems programming in C/C++ on Linux., • Experience developing, debugging, or optimizing storage middleware or related high-performance software., • Familiarity with storage technologies such as Lustre, WEKA, BeeGFS, DAOS, or similar distributed storage platforms., • Experience analyzing system stability and performance, identifying bottlenecks, and delivering production-quality fixes and improvements., • Strong collaboration skills and the ability to work across software, hardware, and customer-facing engineering teams. Preferred Qualifications • Experience with distributed storage environments at cluster scale., • Experience contributing to open-source software or working in upstream-facing engineering environments., • Familiarity with performance testing, benchmarking, and tracing tools., • Experience supporting customer deployments or handling complex escalations., • AI-First Engineering: Demonstrate a "proven AI-first" mindset by integrating advanced AI coding assistants and LLMs into the daily software development lifecycle to 10x output., • Technological Passion, Stay at the bleeding edge of AI research, proactively identifying opportunities to apply new LLM capabilities to networking hardware and software stacks. Location: This is a remote position for employees residing in the United States. At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives. In addition to your base pay, you’ll have access to a broad range of benefits, including medical, dental, and vision coverage, as well as disability and life insurance, a dependent care flexible spending account, accidental injury insurance, and pet insurance. We also offer generous paid holidays, 401(k) with company match, and Open Time Off (OTO) for regular full-time exempt employees. Other paid time off benefits include sick time, bonding leave, and pregnancy disability leave. Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

We are building a team that is empowered to use AI to solve business needs by having a rapid development and deployment pipeline with a focus on rapid iteration, continuous delivery, and intelligent automation. We are looking to add a software engineer who will contribute to the full software development lifecycle, with a strong emphasis on AI. A key part of this role involves prompt engineering and understanding how to interact with LLMs to ensure the accuracy, reliability, and relevance of AI-generated outputs. If you’re AI-forward and excited to explore and apply the latest tools and technologies to solve real-world business problems, this is the role for you. You’ll work with a modern tech stack including Python, Azure OpenAI, Langchain, Postgres, Docker, Cursor, Git, Azure DevOps, React, and AI Agents to deliver high-value software to our business. Location: Remote. Working hours are based on the US Central or Eastern Time Zone. About the Company: Abstra is a fast-growing, Nearshore Tech Talent services company, providing top Latin American tech talent to U.S. companies and beyond. Founded by U.S.-bred engineers with over 15 years of experience, Abstra specializes in sourcing skilled professionals across a wide range of technologies to meet our clients’ needs, driving innovation and efficiency. Job Description: Job Functions, Essential Duties, and Responsibilities: • Collaborate with cross-functional teams to integrate AI capabilities using Azure OpenAI, Langchain, and AI Agents., • Apply prompt engineering techniques to optimize LLM interactions for precision, consistency, and business value., • Build and maintain containerized applications using Docker and deploy via Azure DevOps pipelines., • Work with PostgreSQL and other data technologies to design efficient and reliable data models., • Develop and consume REST APIs to enable seamless integration across services and platforms., • Participate in sprint planning, estimation, and retrospectives as part of an Agile Scrum team., • Contribute to the evolution of our AI-driven development environment using tools like Cursor., • Stay current with emerging technologies and bring a mindset of continuous learning and experimentation. Experience, Skills, Knowledge Requirements • +5 years of experience in designing, developing, testing, and maintaining scalable architectures using Python., • A strong experience in leveraging AI and the latest tools to drive innovation and efficiency., • Extensive experience using Python to develop web applications and back-end services., • Experience with MCP servers (a big plus, but not mandatory)., • Extensive experience working with REST APIs., • Experience designing, querying, and optimizing databases, particularly using PostgreSQL., • Experience with Docker, Git, Azure DevOps, CI/CD pipelines, automated testing, and infrastructure as code., • Familiarity with Azure Functions, Azure OpenAI, Langchain, and building AI workflows and agents., • Exposure to GraphQL and C#., • Experience with prompt engineering and optimizing LLM interactions for accuracy and reliability (It’s not mandatory, but ideally you should be open to shortening the learning curve, since it’s a daily basis task)., • Experience with React., • Experience working with other developers, quality engineers (QE), ops engineers, and support engineers to ensure smooth deployment and continual operation., • Experience participating in design discussions with both technical and non-technical audiences., • Excellent problem-solving skills and attention to detail., • Familiarity or experience with Agile engineering practices (test-driven development, continuous integration, pair programming, etc)., • Ability to work with legacy systems while contributing to modernization efforts., • Strong problem-solving skills and a passion for learning and applying new technologies., • Experience collaborating with technical and non-technical stakeholders., • Familiarity with Agile methodologies and open-source development practices. What We Offer: • Flexible working hours and remote work options., • Opportunities for professional growth and development., • A collaborative and inclusive work environment., • The chance to work on impactful projects with a talented team., • Excellent compensation in USD., • Hardware and software setup.

Position Summary As our AI Solutions Architect, you’ll serve as the technical and strategic bridge between customers, delivery teams, and executive stakeholders for our AI engagements. You will work closely with the product and analyst team, to deeply understand the business gap/ opportunity, user profile and technology landscape, and act as the single point of design authority on the production solution design. You will ensure all technical designs create a coherent, scalable, integrated compelling solution, and you will work closely with the Product Leadership to balance technical and solution trade-offs and priorities. You will lead the design of end-to-end integration-first AI solutions, with a strong focus on connecting AI-enabled products, cloud services, and data platforms. You’ll own solution design from discovery through handoff, ensuring every engagement is technically sound, financially viable, and positioned for measurable business impact. Key Responsibilities * Design cloud-native AI and data solution architectures, including reference patterns, data flows, AI/ML workflows, and LLM orchestration that balance scalability, security, cost, and speed to value. * Translate AI and data architectures into clear diagrams, executive-ready narratives, visuals, and roadmaps for technical and non-technical stakeholders. * Advise clients on AI strategy, build-vs-buy decisions, governance, and ethical considerations. * Integrate and orchestrate data across multiple platforms, including cloud data warehouses and lakes (e.g., Snowflake, BigQuery, Databricks) and external APIs * Collaborate with ML Engineers and Data Engineers to validate architectural alignment and integration feasibility. * Conduct architecture reviews and risk assessments; identify and execute course corrections as needed. * Architect AI solutions that leverage LLMs and RAG patterns to deliver interpretable insights and human-readable outputs from complex model results. * Mentor junior architects and consultants; contribute to reusable accelerators, templates, and an internal knowledge base. * Provide technical oversight across multiple client engagements, ensuring architectural consistency, delivery quality, and alignment between business requirements and implemented solutions. * Provide hands-on guidance to engineering and data teams on API integrations, data pipelines, and AI service connectivity, ensuring solutions are scalable, secure, and maintainable. * Stay current on emerging AI platforms, LLM tooling, and cloud-based data services, continuously evaluating how they can enhance our integration capabilities. Required Qualifications * 8+ years in solution architecture, data engineering, or software engineering roles; 3+ years architecting AI/ML solutions in production. * Proven experience designing modern, cloud-native AI solutions and integrations across AWS, Azure, or GCP, including data platform integration, LLM orchestration, and secure API connectivity. * Hands-on experience with at least two of the following: * Deep-learning frameworks (TensorFlow, PyTorch, JAX). * NLP/LLM stacks (Hugging Face, LangChain, vector databases, RAG patterns). * Computer-vision pipelines (OpenCV, TorchVision). * AutoML & orchestration (Vertex AI, SageMaker, MLflow, Kubeflow, Airflow). * Solid grounding in data modeling, API design (REST/GraphQL), containerization (Docker, Kubernetes), and IaC (Terraform, CloudFormation, or Pulumi). * Exceptional communication skills—able to whiteboard with engineers in the morning and brief the C-suite in the afternoon. * Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience). * Consulting or professional-services experience Bonus Skills * Familiarity with privacy regulations (GDPR/CCPA) and AI governance frameworks (NIST AI RMF, ISO/IEC 42001 draft). * Track record leading GenAI POCs or production deployments (chatbots, copilots, content generation, autonomous agents). * Relevant certifications (e.g., AWS Solutions Architect Professional, Google Professional Cloud Architect, Microsoft Azure Solutions Architect, TensorFlow Developer). Core Competencies * Architectural Systems Thinking – Visualizes complex interactions across data, application, and infrastructure layers. * AI/ML Depth & Breadth – Stays current on techniques, tooling, and responsible-AI best practices. * Client Influence – Builds trust quickly; frames solutions around tangible ROI. * Execution Leadership – Drives estimation accuracy, risk mitigation, and delivery quality. * Collaboration & Mentoring – Elevates team capability through coaching and knowledge sharing.

Location: Remote Employment Type: Full-Time (W-2) Citizenship: U.S. Citizenship required IntelliTech is seeking a Tech Lead / Full-Stack Engineer to serve as the technical anchor on a high-visibility Department of War program focused on operationalizing a Government-owned digital twin application for ammunition industrial base readiness. This role will lead the modernization of an existing Python / React web application from a single-host prototype into a production-aligned, containerized platform deployed in an Army cloud environment. This is a hands-on technical leadership role. The ideal candidate will write production code daily, own architecture decisions, drive sprint execution, and serve as a primary technical interface with Government stakeholders. This individual will work closely with other senior engineers across data/AI and platform/DevSecOps functions on a lean team where every engineer is expected to ship high-quality production code. Technical Leadership • Own overall application architecture and drive technical decisions across frontend, backend, simulation, and data tiers., • Lead sprint planning, backlog refinement, and technical prioritization in coordination with project leadership., • Conduct code reviews and enforce standards for code quality, testing, documentation, and maintainability., • Serve as a primary technical point of contact for Government engineering and product stakeholders., • Modernize and extend a Python FastAPI backend serving as the application control plane for data operations, scenario lifecycle management, and AI orchestration., • Decouple the SimPy discrete-event simulation engine from the API tier into independently scalable worker containers., • Design and implement run request queueing, worker orchestration, and result persistence patterns., • Build governed ingestion workflows, including validation services for schema enforcement, referential integrity, circular reference detection, and business-rule validation with actionable user-facing feedback., • Implement dataset versioning, lineage tracking, and run-level traceability linking scenario outputs to explicit input versions., • Build version-bounded caching strategies for validated inputs, run-ready artifacts, and comparison outputs., • Extend and maintain a React / TypeScript frontend using Material UI, Recharts, and data-grid-based visualizations., • Build user workflows for AI-assisted scenario Q&A, guided scenario generation with analyst review and approval, and brief-ready output presentation., • Implement upload validation feedback, dataset versioning interfaces, and scenario comparison views., • Design and implement the AI integration layer brokering access between the application backend and a Government-approved hosted LLM endpoint., • Build scoped retrieval logic constraining AI context to approved run artifacts, simulation outputs, and post-processed metrics., • Implement guided scenario generation that converts user intent into structured JSON configurations for analyst review before execution., • Implement function-calling and tool-use patterns that enable the LLM to query live scenario data through backend APIs., • Instrument the application pipeline to capture timing, bottleneck, concurrency, and throughput metrics., • Design and execute integration testing across frontend, backend, database, object storage, cache, and worker services., • Benchmark throughput and performance improvements against established baselines., • Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or a related technical discipline and 8+ years of relevant experience; or Master’s degree in a related field and 6+ years of relevant experience., • 8+ years of professional software engineering experience., • Strong hands-on Python backend development experience, including FastAPI or Flask, asynchronous patterns, REST API design, and data processing with Pandas and NumPy., • Strong React / TypeScript frontend development experience, including React 18+, component architecture, state management, and modern UI frameworks such as Material UI., • Experience with containerized architectures, including Docker and orchestration concepts such as Kubernetes, ECS, or EKS., • Experience with MongoDB or other document-oriented databases, including schema design, query optimization, and async drivers., • Experience integrating LLM APIs such as OpenAI, Anthropic, or equivalent platforms, including function calling, tool-use patterns, and prompt engineering for structured outputs., • Experience building and maintaining production-grade applications in cloud-based environments, preferably AWS., • Experience leading technical execution across multiple application layers in a complex engineering environment., • Experience supporting DoD or federal Government programs., • Strong communication skills and the ability to work directly with technical and non-technical stakeholders., • Experience with SimPy or other discrete-event simulation frameworks., • Experience with defense supply chain, logistics, manufacturing, or industrial base mission domains., • Experience leading small engineering teams on Agile Government contracts., • Experience with Amazon DocumentDB, Redis / ElastiCache, Amazon S3, and Army or AWS cloud environments., • Familiarity with munitions industrial base concepts such as BOM structures, production lines, CAGE codes, and surge planning., • Experience building decision-support, simulation, or analytics applications for Government analysts., • Experience with Terraform, Helm, CI/CD pipelines, and production container deployment patterns., • Prior experience supporting Army logistics, manufacturing, or modernization programs., • Backend: Python 3.11+, FastAPI, SimPy, Pandas, NumPy, Pandera, Motor (async MongoDB), • Frontend: React, TypeScript, Material UI, Zustand, Recharts, MUI X Data Grid, • Database: MongoDB / Amazon DocumentDB, • Cache: Redis / Amazon ElastiCache, • Storage: Amazon S3, • AI Integration: OpenAI API or Government-approved hosted LLM endpoint, function calling, scoped retrieval, • Infrastructure: Docker, EKS / ECS, Helm, Terraform, • CI/CD: GitLab CI, GitHub Actions, or Government-approved pipeline tooling Candidates should be prepared to discuss: • systems or applications they have built from scratch across backend and frontend layers, • their experience leading architecture and technical implementation decisions, • how they have modernized or productionized prototype applications, • their experience with Python, React, containerized deployment, and cloud-native architectures, • their experience integrating AI capabilities into operational applications IntelliTech provides a comprehensive benefits package designed to support employees’ well-being and professional growth, including health insurance, dental insurance, and vision insurance, a 401(k), paid time off, professional development opportunities, and flexible work arrangements to support work-life balance. IntelliTech is a dynamic and forward-thinking small business specializing in Full Stack Engineering, Data Analytics, Cloud Solutions, and DevSecOps services. Our mission is to empower government and commercial clients to solve complex technical challenges through practical, innovative, and mission-focused engineering solutions. At IntelliTech, we are committed to building a diverse and inclusive workplace. We believe that a variety of perspectives and backgrounds leads to stronger teams and better solutions. IntelliTech is an Equal Opportunity Employer and does not discriminate on the basis of race, religion, gender, age, disability, or veteran status. We encourage all qualified candidates to apply.

About the Job: LaunchDarkly’s AI Specialist will be at the forefront of revolutionizing how AI engineers think about, release, monitor, and optimize their agents, scaling up our LaunchDarkly for AI from initial market validation to an industry-leading product. You will represent deep, specialized LD4AI product knowledge, sharing your expertise with prospects and customers, gathering critical feedback that shapes product development, and driving early-stage adoption. Your expertise will be instrumental in establishing the Solutions Engineering frameworks that will guide our future success. This is a role for builders and storytellers who thrive in undefined spaces. You will be expected to build – meaning the construction of integrations, technical content, whitepapers, and tutorials, all alongside attractive demos of our product customized to strategic engagements. You'll work with the innovation coming out of LaunchDarkly's Product team and make a significant impact on how companies build and deploy AI applications. Responsibilities: Expert-Level Solutions/Sales Engineering • Represent the trustworthiness and confidence of serious expertise in practical AI applications in customer conversations (especially as an escalation point above an SE SME), • Spearhead the early-stage implementation and adoption of LD4AI at scale, working closely with existing customers to ensure activation and churn prevention (alongside feedback), • Develop and document Solutions Engineering playbooks and best practices that scale beyond our first customers, • Function as a tremendous partner to the LD4AI Chief of Staff, surfacing revenue-related insights with respect to the maturation of the product accordingly, • Support LD4AI POVs ran by on-the-ground SEs Collect and Propagate Product Feedback • Collaborate extensively with product and engineering teams to ensure product concepts are technically feasible and align with LaunchDarkly's strategic goals, • Drive continuous improvement by monitoring product performance, user experience, and market response, iterating based on actionable data and insights, • Confirm that LD4AI’s roadmap adheres to market demand and deliver exceptional user experiences, especially for the AI developer persona – vocalizing objections with data Build LD4AI Into The World • Deliver integrations against common, quantified customer requests in the form of code contributions, architecture diagrams, and whitepapers, • Function as a key technical asset in (with the Head of AI and the partnership team) technical partnerships with advantageous potential partners (like Anthropic, DataBricks, etc…), • Publicly evangelize LD4AI at mainstream industry conferences, webinars, partner engagements, and strategic meetings Technical Leadership & Communication • Function as the primary owner of the disbursement of enablement material to the SE team, particularly to the designated by team/region SE LD4AI SMEs (for which you have partial, dotted-line accountability), • Co-own Revenue Enablement of LD4AI along with the Head of AI and the LD4AI tetrad, • Work with the AI Researcher, the PMM team, and the Head of AI to build and maintain competitor playbooks Qualifications: AI & Technical Expertise • This role requires a minimum of 12 years of related technical experience, • Extensive experience with AI applications—building, implementing, or selling AI solutions at scale, • Experience building multi-agent systems using frameworks like LangGraph, AgentBuilder, or AgentCore, • Hands-on experience evaluating AI agent performance at scale using automated evaluation methods, • Deep understanding of LLM mechanics (you've read 'Attention is All You Need' and can explain transformer architecture in detail), • Experience building or interfacing with MCP (Model Context Protocol) servers, • Strong Python skills with experience building in PyTorch or TensorFlow, • Strong foundation in software engineering principles and current market trends Mindset & Approach • Strong but loosely-held opinions about AI—you have a point of view but update it based on evidence, • Ability to anticipate where the AI landscape is heading and position products accordingly, • Deep curiosity about how AI changes software development, with an obsession for staying current on new AI technology, • Natural storyteller who can take new technology and craft compelling narratives that resonate with technical audiences, • Thrive in ambiguity—you love figuring it out, building new processes, and working in undefined spaces Pay: Target pay ranges based on Geographic Zones* for Level 5: • Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $191,000 - $263,000**, • Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $172,000 - $237,000**, • Zone 3: All other US locations - $163,000 - $224,000** LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: • Improving the velocity and stability of software releases, without the fear of end customer outages, • Delivering targeted experiences by easily personalizing features to customer cohorts, • Maximizing the business impact of every feature through the ability to experiment and optimize, • Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types, • Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at ___. Do you need a disability accommodation? Fill out this ___ and someone from our People Operations team will contact you for assistance.

Role: ML/AI Engineers (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,(___) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company – we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence: Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: · Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. · Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. · Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. · Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. · Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. · Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. · Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. · Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. · Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. What You’ll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Location: Remote Clearance: Active DoD Secret clearance required Employment Type: Full-Time (W-2) Citizenship: U.S. Citizenship required IntelliTech is seeking a Tech Lead / Full-Stack Engineer to serve as the technical anchor on a high-visibility Department of War program focused on operationalizing a Government-owned digital twin application for ammunition industrial base readiness. This role will lead the modernization of an existing Python / React web application from a single-host prototype into a production-aligned, containerized platform deployed in an Army cloud environment. This is a hands-on technical leadership role. The ideal candidate will write production code daily, own architecture decisions, drive sprint execution, and serve as a primary technical interface with Government stakeholders. This individual will work closely with other senior engineers across data/AI and platform/DevSecOps functions on a lean team where every engineer is expected to ship high-quality production code. Technical Leadership • Own overall application architecture and drive technical decisions across frontend, backend, simulation, and data tiers., • Lead sprint planning, backlog refinement, and technical prioritization in coordination with project leadership., • Conduct code reviews and enforce standards for code quality, testing, documentation, and maintainability., • Serve as a primary technical point of contact for Government engineering and product stakeholders., • Modernize and extend a Python FastAPI backend serving as the application control plane for data operations, scenario lifecycle management, and AI orchestration., • Decouple the SimPy discrete-event simulation engine from the API tier into independently scalable worker containers., • Design and implement run request queueing, worker orchestration, and result persistence patterns., • Build governed ingestion workflows, including validation services for schema enforcement, referential integrity, circular reference detection, and business-rule validation with actionable user-facing feedback., • Implement dataset versioning, lineage tracking, and run-level traceability linking scenario outputs to explicit input versions., • Build version-bounded caching strategies for validated inputs, run-ready artifacts, and comparison outputs., • Extend and maintain a React / TypeScript frontend using Material UI, Recharts, and data-grid-based visualizations., • Build user workflows for AI-assisted scenario Q&A, guided scenario generation with analyst review and approval, and brief-ready output presentation., • Implement upload validation feedback, dataset versioning interfaces, and scenario comparison views., • Design and implement the AI integration layer brokering access between the application backend and a Government-approved hosted LLM endpoint., • Build scoped retrieval logic constraining AI context to approved run artifacts, simulation outputs, and post-processed metrics., • Implement guided scenario generation that converts user intent into structured JSON configurations for analyst review before execution., • Implement function-calling and tool-use patterns that enable the LLM to query live scenario data through backend APIs., • Instrument the application pipeline to capture timing, bottleneck, concurrency, and throughput metrics., • Design and execute integration testing across frontend, backend, database, object storage, cache, and worker services., • Benchmark throughput and performance improvements against established baselines., • Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or a related technical discipline and 8+ years of relevant experience; or Master’s degree in a related field and 6+ years of relevant experience., • Active DoD Secret clearance., • 8+ years of professional software engineering experience., • Strong hands-on Python backend development experience, including FastAPI or Flask, asynchronous patterns, REST API design, and data processing with Pandas and NumPy., • Strong React / TypeScript frontend development experience, including React 18+, component architecture, state management, and modern UI frameworks such as Material UI., • Experience with containerized architectures, including Docker and orchestration concepts such as Kubernetes, ECS, or EKS., • Experience with MongoDB or other document-oriented databases, including schema design, query optimization, and async drivers., • Experience integrating LLM APIs such as OpenAI, Anthropic, or equivalent platforms, including function calling, tool-use patterns, and prompt engineering for structured outputs., • Experience building and maintaining production-grade applications in cloud-based environments, preferably AWS., • Experience leading technical execution across multiple application layers in a complex engineering environment., • Experience supporting DoD or federal Government programs., • Strong communication skills and the ability to work directly with technical and non-technical stakeholders., • Experience with SimPy or other discrete-event simulation frameworks., • Experience with defense supply chain, logistics, manufacturing, or industrial base mission domains., • Experience leading small engineering teams on Agile Government contracts., • Experience with Amazon DocumentDB, Redis / ElastiCache, Amazon S3, and Army or AWS cloud environments., • Familiarity with munitions industrial base concepts such as BOM structures, production lines, CAGE codes, and surge planning., • Experience building decision-support, simulation, or analytics applications for Government analysts., • Experience with Terraform, Helm, CI/CD pipelines, and production container deployment patterns., • Prior experience supporting Army logistics, manufacturing, or modernization programs., • Backend: Python 3.11+, FastAPI, SimPy, Pandas, NumPy, Pandera, Motor (async MongoDB), • Frontend: React, TypeScript, Material UI, Zustand, Recharts, MUI X Data Grid, • Database: MongoDB / Amazon DocumentDB, • Cache: Redis / Amazon ElastiCache, • Storage: Amazon S3, • AI Integration: OpenAI API or Government-approved hosted LLM endpoint, function calling, scoped retrieval, • Infrastructure: Docker, EKS / ECS, Helm, Terraform, • CI/CD: GitLab CI, GitHub Actions, or Government-approved pipeline tooling Candidates should be prepared to discuss: • systems or applications they have built from scratch across backend and frontend layers, • their experience leading architecture and technical implementation decisions, • how they have modernized or productionized prototype applications, • their experience with Python, React, containerized deployment, and cloud-native architectures, • their experience integrating AI capabilities into operational applications IntelliTech provides a comprehensive benefits package designed to support employees’ well-being and professional growth, including health insurance, dental insurance, and vision insurance, a 401(k), paid time off, professional development opportunities, and flexible work arrangements to support work-life balance. IntelliTech is a dynamic and forward-thinking small business specializing in Full Stack Engineering, Data Analytics, Cloud Solutions, and DevSecOps services. Our mission is to empower government and commercial clients to solve complex technical challenges through practical, innovative, and mission-focused engineering solutions. At IntelliTech, we are committed to building a diverse and inclusive workplace. We believe that a variety of perspectives and backgrounds leads to stronger teams and better solutions. IntelliTech is an Equal Opportunity Employer and does not discriminate on the basis of race, religion, gender, age, disability, or veteran status. We encourage all qualified candidates to apply.

Location: Dallas, Remote preferred Narvar is hiring! We are seeking a Strategic Initiatives & AI Transformation Lead who will focus on leading the design and execution of the company’s internal AI transformation: where and how teams adopt AI tools, how usage and skills are measured, and how that translates into tangible business outcomes. You will operate within the Office of the CEO, as the execution arm for AI and for select other strategic initiatives, ensuring priorities become real changes in how people work. This is an exciting and unique opportunity for someone who enjoys bridging strategy to execution, and driving company-wide impact through an AI-first agenda. • Map where AI is (and should be) used internally across R&D, GTM, and G&A: developer tools, copilots, internal search/knowledge, analytics, back‑office automation, etc., • Define a focused internal AI adoption strategy: priority workflows, target user groups, and a roadmap for rolling out tools and capabilities by function., • Establish a measurement framework for internal AI:, • Adoption: who is using which tools, how often, in which workflows., • Proficiency: skill tiers (e.g., beginner, proficient, expert) and expectations by role or function., • Outcomes: KPIs such as time saved, throughput, error rates, ticket resolution time, sales cycle, etc., • Fold AI into the broader strategic‑initiatives portfolio so internal AI work is coordinated with other CEO‑level programs (e.g., org changes, tooling consolidation)., • Act as program owner for internal AI adoption: run intake and prioritization for internal AI ideas, select pilots, and manage their progression from experiment to scale., • Partner with product/engineering, data/platform, security, and IT to define the “approved internal AI stack” (e.g., coding copilots, document copilots, AI in CRM/support, internal RAG/search) and ensure safe, reliable deployment., • Work with functional leaders to embed AI tools into real workflows, not just make them available: update processes, templates, SOPs, and enablement so AI becomes the default way of working where appropriate., • Implement practical usage and impact tracking: dashboards and reviews that show tool adoption, skill progression, and outcome metrics by team, feeding into regular exec and board updates via the Chief of Staff., • Design and run internal AI skills programs:, • Define role‑based competency models (what “good” AI usage looks like for engineers, sales, CS, finance, etc.)., • Partner with People/HR and L&D on training paths, labs, and assessments to move people up the curve., • Stand up and support an AI champions network in each major function to localize best practices, gather feedback, and drive adoption on the ground., • Lead change management for internal AI: targeted communications, demos, playbooks, FAQs, and manager toolkits that address concerns and highlight wins., • Help the Chief of Staff craft the internal narrative around AI (augmentation, quality, and growth vs. pure efficiency), ensuring alignment with performance, incentives, and talent processes., • Take on additional CEO‑sponsored cross‑functional initiatives (AI‑adjacent or otherwise) where similar skills are needed: structured problem‑solving, cross‑org execution, and change leadership., • Apply the same discipline—clear problem framing, KPIs, operating cadence, and adoption focus—to these initiatives, ensuring they do not conflict with, but rather reinforce, the internal AI agenda., • Strategic Execution: 7–10+ years in Strategy, BizOps, Finance or Consulting. Startup and transformation experience within the SaaS/B2B space is strongly preferred., • Operational Change Agent: A proven track record of "changing how teams actually work"—you don’t just suggest ideas; you redesign workflows and implement people/process frameworks that stick., • AI Fluency: Deep familiarity with modern AI and productivity tools (LLM-based copilots, automation, BI). You have a practical, "human-first" lens on how non-technical teams adopt new tech., • High-Stakes Influence: Exceptional stakeholder management skills; you can navigate ambiguity and influence without authority, moving comfortably between executive-level strategy and "in-the-weeds" execution., • Data-Driven Rigor: A passion for measurement. You are comfortable defining KPIs, designing skill frameworks, and using data to iterate on team performance., • High Agency: A self-motivated, "builder" mindset. You thrive in fast-paced environments and can manage multiple high-priority strategic initiatives without losing sight of the details. We're on a mission to simplify the everyday lives of consumers. Post-purchase is a critical phase of the customer journey. That's why we created Narvar - a platform focused on driving customer loyalty through seamless post-purchase experiences that allow retailers to retain, engage, and delight customers. If you've ever bought something online, there's a good chance you've used our platform! From the hottest new direct-to-consumer companies to retail’s most renowned brands, Narvar works with GameStop, Neiman Marcus, Sonos, Nike, and 1300+ other brands. With hubs in San Francisco, Atlanta, London, and Bangalore, we've served over 125 million consumers worldwide across 10+ billion interactions, 38 countries, and 55 languages. Pioneering the post-purchase movement means navigating into the unknown. Our team thrives on this sense of adventure while nurturing a mindset of innovation. We're a home for big hearts and we leave our egos at the door. We work hard but we always make time to celebrate professional wins, baby showers, birthday parties, and everything in between. 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. Please read our to learn what personal information we collect in connection with your job application, and how we may use and share it.

You'll work across every subsidiary in the portfolio, embedded with engineering and ops teams, and you'll have wide latitude to choose the right tools and build the right systems. LLMs and AI tooling to accelerate engineering, ops, and compliance work. LLM integration, prompt engineering, orchestrat

About Us: Homebound is on a mission to make it possible for anyone, anywhere, to build a home using technology. Created by an experienced team of construction, real estate, design, and technology experts, Homebound is transforming the residential construction industry by improving the costly and inefficient process of building a home. We’ve created an entirely new way to build homes with technology powering every stage from start to finish to provide a seamless experience for our customers. Homeowners across the country can choose where they want to live, select a home plan that’s perfect for them, then personalize and buy it, all online. Homebound has raised $150M in capital from leading venture capitalists like Google, Khosla, Thrive Ventures, and we’re scaling quickly in places like Texas, Colorado and Florida. Come build your future with us. As a Senior Mobile Engineer, you will own and evolve Homebound’s iOS applications - the primary interface our construction teams use to run projects in the field. These apps power critical workflows such as AI-powered job logs, work verification, scheduling trade partners, and capturing real-time site data. You will be a technical owner for mobile architecture and delivery, partnering closely with Product, Construction Operations, and Platform Engineering to turn complex, real-world construction workflows into reliable, intuitive mobile experiences. This role requires strong judgment around UX, data consistency, offline-first behavior, and long-term maintainability. You’ll work on a small, high-impact team, taking features from concept to production while helping set the technical bar for quality, performance, and developer experience. This is a foundational role on a growing team that is core to Homebound’s mission to modernize homebuilding through technology. * Own and grow Homebound’s iOS applications used daily by construction field teams. * Lead technical design and implementation of complex mobile features, including offline-first workflows and data synchronization. * Translate messy, real-world field processes into intuitive, consumer-grade mobile experiences. * Partner closely with Product, Design, Construction Ops, and Platform Engineering to define requirements and technical tradeoffs. * Influence mobile architecture, data models, and API contracts to support long-term scalability. * Ship high-quality production code frequently, with a strong focus on reliability, maintainability, and user impact. * Mentor other engineers and help raise the bar for mobile engineering practices and developer experience. * 7+ years of professional software engineering experience, with 5+ years building and shipping mobile applications. * Strong experience with native iOS development (Swift / SwiftUI). * Proven ability to lead projects end-to-end, making sound technical and product tradeoffs. * Deep understanding of mobile UI/UX best practices and performance considerations. * Experience building offline-first applications and managing local data, syncing, and conflict resolution. * Experience shipping AI-powered or intelligent product features (e.g., LLM-driven workflows, automation, ML-backed features). * Strong sense of ownership and comfort operating in a fast-moving startup environment. * Experience working with GraphQL backends is a plus. * Passion for improving the developer experience and the quality of mobile delivery. * SwiftUI iOS app * SwiftData * GraphQL * Github/CircleCI * Tuist If you are a self-starter, have a strong sense of ownership, and are passionate about building world-class tech teams and products, we encourage you to apply for this exciting opportunity. Our Commitment: We are focused on building a diverse and inclusive workforce. If you’re excited about this role, but do not meet 100% of the qualifications listed above, we encourage you to apply. To apply, please submit an application with your resume on the Career’s page. Homebound is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Homebound considers all qualified applicants in accordance with the San Francisco Fair Chance Ordinance. Our Compensation Philosophy: Our salary ranges are determined by role, level, and location. Please note that the salary range displayed on each job posting may vary by state. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter will share more about the specific salary range for your preferred location during the hiring process. Please note that each job posting includes a general description of any other compensation offered for the position in addition to the salary range displayed on the job posting. You can find information about our benefits ___.

Who is Tenable? Tenable® is the Exposure Management company. 44,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 45 percent of the Global 2000, and large government agencies. Come be part of our journey! What makes Tenable such a great place to work? Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together! Your Role: Tenable is not only building great products and carving out a completely new category, but we are also building a world-class engineering culture committed to hiring the very best. We are looking for a Senior Software Engineer to join a founding initiative within our engineering organization. In this role, you will help design and implement the Agentic AI Platform, the orchestration layer and nervous system that enables autonomous agents to reason, plan, and execute complex security workflows across our Exposure Management ecosystem. This is a hands-on engineering role with broad impact. You will not just be "using" LLMs; you will be building the distributed systems, state machines, and tooling that transform generative models into reliable, enterprise-grade agents. While you will work from home the majority of your time, there may be an expectation to gather for in-person meetings on occasion. Your Opportunity: • Build the Agentic Backbone: Architect and implement the backend services that power multi-agent workflows. You will build systems that allow AI agents to decompose complex user requests, manage state, and execute tasks across distributed microservices., • Orchestration & Workflow Automation: Design scalable workflow engines and "human-in-the-loop" systems. You will enable agents to perform long-running investigations and remediation tasks, balancing autonomy with control., • Bridge AI & Enterprise Infrastructure: Create the integration layer between modern Python-based AI frameworks and Tenable’s robust JVM-based microservices architecture., • Reliability & Guardrails: Implement verification layers, citations, and security guardrails to ensure agents operate deterministically and safely. You will treat "prompts" as code and model outputs as untrusted input that requires validation., • Tooling & RAG: Build advanced Retrieval-Augmented Generation (RAG) pipelines and "Tool Use" capabilities, allowing agents to query databases, call internal APIs, and synthesize data from disparate sources., • Lead Technical Direction: Collaborate with researchers and product leads to define the roadmap for AI orchestration. Champion best practices for MLOps, agent evaluation, and system observability. What You’ll Need: • B.S. or M.S. in Computer Science, Engineering, or a related field, or equivalent practical experience., • 5+ years of software engineering experience (7+ for Staff level), with a strong background in building backend systems, APIs, and platforms., • Agentic AI Expertise: Hands-on experience building AI agents and autonomous workflows using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Pydantic AI., • Polyglot Proficiency: Strong programming skills in Python (essential for AI/ML ecosystems) with experience in, or a willingness to work with, JVM-based languages (Java, Kotlin, or Scala) for high-scale platform components., • Distributed Systems: Experience designing event-driven architectures, managing concurrency, and building fault-tolerant services (e.g., using Kafka, gRPC, REST)., • Data Fluency: Proficiency with Relational Databases (PostgreSQL) and experience with Vector Databases (e.g., Pinecone, Weaviate, Milvus) or search engines (Elasticsearch)., • Builder Mindset: A self-starter who thrives in ambiguity and is passionate about taking AI from "prototype" to "production-grade." And Ideally: • LLM Ops & Evaluation: Experience designing frameworks to evaluate agent performance (accuracy, latency, cost) and implementing CI/CD for AI workflows., • Cloud Native: Experience deploying and scaling services in AWS using Docker and Kubernetes., • Graph & Search: Familiarity with Knowledge Graphs or advanced search algorithms to improve agent reasoning., • Security Context: Understanding of cybersecurity concepts (vulnerability management, cloud security) is a plus, but not required if you are a strong systems engineer. Applicants must be authorized to work for any employer in the U.S. We are unable to provide sponsorship for work visas of any kind at the time of hire, or at any point during employment. #LI-LP1 This is the base pay range for this position. Compensation for the role will depend on a number of factors, including the candidate's qualifications, skills, competencies, location and experience, and may fall outside of the range shown. Employees are also eligible for variable compensation in addition to base pay (commission for sales roles, bonus for non-sales roles), depending on company and individual performance. Tenable also offers a variety of comprehensive and competitive benefits which include: medical, dental, vision, disability and life insurance; 401(k) retirement savings with company match; an employee stock purchase plan; an employee referral program; flexible spending accounts; an Employee Assistance Program (EAP); education assistance; parental leave; paid time off (PTO); company-paid holidays; health and wellness events; and community programs. US Pay Range $159,000 - $211,666.67 USD We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels. If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact ___ for further assistance. Tenable Data Consent Statement Tenable is committed to protecting the privacy and security of your personal data. This Notice describes how we collect and use your personal data during and after your working relationship with us, in accordance with the General Data Protection Regulation (“GDPR”). Please click ___ to review. For California Residents: The California Consumer Privacy Act (CCPA) requires that Tenable advise you of certain rights related to the collection of your private information. Please click ___ to review.

At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world. * Co-architect and co-build production AI agents with customer engineering teams * Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations * Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows * Advise customers post-sale on architecture, best practices, and roadmap-level decisions * Run technical demos, trainings, and workshops for developer audiences * Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers * Occasionally contribute code upstream when it meaningfully improves customer outcomes * 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up * Strong Python, JavaScript and systems fundamentals * Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling * Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations * Can explain technical tradeoffs clearly and build trust with developer audiences * Take responsibility for outcomes, not just recommendations * Have a bias toward action and enjoy figuring things out as you go * Are excited about operating AI agents in production, not just building demos * You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks * Worked with LLM evaluation, observability, or guardrails * Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts * Have shipped and operated production software and are comfortable owning systems under real-world constraints We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Annual OTE range: $150,000–$250,000 USD

About LangChain At LangChain, our mission is to make intelligent agents ubiquitous. We provide the agent engineering platform and open source frameworks developers need to ship reliable agents fast. Our open source frameworks, LangChain and LangGraph, see over 90+ million downloads per month and help developers build agents with speed and granular control. LangSmith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences. LangChain is trusted by millions of developers worldwide and powers AI teams at companies like Replit, Clay, Cloudflare, Harvey, Rippling, Vanta, Workday, and more. About the role * Work closely with companies on the frontier of LLM-applications, bringing ideas to production-ready apps * Collaborate on a wide variety of LLM-apps from concierge search, codegen, agentic co-pilots and more * Give technical demos the entire suite of LangChain's products * Lead trainings and workshops on best practices, targeted at developer audiences * Collaborate closely with the enterprise sales team to win deals * Collaborate closely with engineering, helping translate customer insights and feedback into product improvements * Lead internally- and externally-facing, special projects that dogfood our new products How to be successful in this role * Engineers who love working with customers or are aspiring future founders * Deployed engineers / solution architects who have experience in the role at developer focused companies. * You have an engineering background and enjoy being a trusted partner to companies * You like to find a way to “make it work”. Bent towards action and service orientation. * You enjoy keeping up to date on the latest industry techniques * You’re comfortable presenting best practices to bigger teams * Bonus if familiar with LangChain or building with LLMs * Can thrive in a fast moving environment. Views unstructured environments as an opportunity to figure out the most impactful work and define the future success of the company. Startup experience is a bonus. * Ownership minded * Minimum experience of 3+ years in a similar technical role: software engineering, customer engineering Locations: WEST (San Francisco, Pacific Northwest, SoCal) CENTRAL (Austin, Chicago, Denver) EAST (New York, Atlanta) EMEA (London, Amsterdam) Compensation & Benefits * We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations. * Annual OTE salary range: $150,000-$270,000 USD

AcuityMD is a software and data platform that accelerates access to medical technologies. We help MedTech companies understand how their products are used, why customers vary, and identify opportunities for physicians to better serve their patients. Each year, the FDA approves ~6,000 new medical devices. Our solution helps MedTech companies get these products to physicians more effectively so they can improve patient care with the latest technology. We're backed by Benchmark, Redpoint, ICONIQ Growth, and Ajax Health. We’re a high-growth SaaS company scaling rapidly. In this role, you will solve frictions in medical technology adoption by bringing sales reps the tools and information they need to get innovative devices in physicians’ hands. You will do this by building rich, data-driven agentic interactions that span voice, chat, mobile, and desktop interfaces*.* Join AcuityMD's Application Engineering Team, driving the core of our product by empowering VPs, marketers, sales ops, and sales reps. We deliver top-tier solutions for MedTech sales teams to define their markets and identify high-potential opportunities to take their business to the next level. Help us shape the future of MedTech sales strategy and performance with data-driven insights and powerful tools. The Customer Intelligence Team enables MedTech companies to accelerate adoption of cutting-edge medical technology by managing their sales cycles in seamless and context-rich workflows. Help our clients sell more strategically to both current and future users of their tech by embedding market data and AI recommendations into their day-to-day selling motions. We’re partnering with top-10 MedTech companies and are embarking on a journey of rapid feature development to ensure their success. You will be key in delivering impactful, high-quality scalable solutions that make a difference. You'll partner with PMs, Designers, and fellow engineers to build end-to-end agentic experiences across web and mobile. While we focus on delivering great work, we are just as committed to building a fun, collaborative, and supportive team environment – because strong connections help us work even better together! Level up your career while helping us build best-in-class agents to help our users research, develop, market, and sell cutting edge medical technology. • Lead the design and implementation of rich, user-facing interactions that blend traditional data-heavy workflow software interfaces with agentic experiences, including chat-, notification, and voice-driven interactions., • Partner closely with product managers and designers to shape end-to-end user journeys, from early concepts and prototypes through production-ready experiences., • Help us get to the point: translate complex, data-heavy workflows into intuitive interfaces across our web and mobile apps that bring users the precise information and capabilities they need at the time they need them., • Build and iterate on UI and underlying software architectures that support dynamic, stateful interactions with AI-powered systems, while remaining robust, debuggable, and maintainable., • Build across the stack, and collaborate with other engineers to integrate agentic capabilities into real product surfaces, ensuring tight feedback loops between user intent, system behavior, and UI., • Up-level the organization’s ability to quickly experiment and bring high-impact interactions to users: help designers lean more into building, and engineers lean more into designing. Help design and build a system that gives everyone at AcuityMD the ability to improve our AI products., • Own the lifecycle of user-facing features—from prototyping and usability testing through launch, monitoring, and iteration—always grounded in real user needs., • Stay current on emerging patterns in human–computer interaction, AI-driven UX, and modern front-end development, and bring those ideas thoughtfully into production., • 7+ years of professional experience building production software, • You have deep experience building and shipping polished, user-facing software products, with a strong emphasis on interaction design, usability, and product quality., • You are comfortable working at the intersection of engineering and design, and have collaborated closely with designers—or leaned into design work yourself—to shape user experiences., • You have strong client-side engineering skills and have worked extensively building excellent web and/or mobile experiences., • You’re excited about agentic workflows and AI voice interactions, and have experimented with building them at work or independently., • You think in systems and workflows, not just screens, and enjoy designing interactions that evolve over time rather than static interfaces., • You communicate clearly and collaborate effectively with designers, product managers, and engineers to align on intent, tradeoffs, and execution., • You love working on a collaborative, low-ego team to create products that change the way people work. You hold a high bar for craft, clarity, and reliability of those products., • You have a BA/BS or MA/MS in Computer Science, Human–Computer Interaction, Design Engineering, or a related field—or equivalent practical experience., • Familiarity across our stack is a plus. Our stack is primarily Typescript and Python, running on GCP with a PostgreSQL database. We also use Golang, React, Hasura, Elasticsearch, GraphQL, Arrow Flight, Git, Docker, Kubernetes, and Braintrust., • You’ve built agentic workflows end-to-end and shipped them to real users. You’ve experimented with multiple LLM harnesses like Langchain, AI SDK, Mastra, Swarm, AgentKit, CrewAI, etc., and have developed preferences and intuitions around them, • A tour of duty as a designer between engineering roles is a huge plus., • You’ve earned real battle scars from wrangling agents that went very, very off course., • You’ve published public-facing tools, code, or writing that explores the ever-changing limits of LLM capabilities. You must have an eligible work permit in the USA to be considered for this position. AcuityMD is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, market data and may vary from the range provided. Base Salary Range: $175,000-$215,000 • Ground floor opportunity: Join a high-growth startup, backed by world-class investors across Enterprise SaaS and Medical Devices (Benchmark, Redpoint Ventures, and Ajax Health)., • Learning Budget: Reimbursements for relevant learning and up-skilling opportunities., • Remote work: AcuityMD is committed to supporting full-remote flexibility for employees in the US. We provide a work-from-home stipend for all employees., • Flexible PTO: Generous time off and flexible hours give you the freedom to do your best work., • Paid Health, Dental, and Vision Plans: We offer 100% paid health, dental, and vision plans for all employees and 75% paid for our employees' dependents., • Home Office Stipend: $1,000 to invest in remote office equipment and WiFi reimbursement., • Optional Team Retreats: We meet in-person multiple times per year for co-working and social gatherings., • Parental Leave: 6-12 weeks of fully-paid, flexible parental leave. The Company: We are builders, who are inspired by our mission to expand patient access to cutting-edge medical technologies. We value working collaboratively to solve hard problems for our customers with simple, innovative solutions. We push ourselves to learn with empathy. We foster an active culture of mentorship and inclusion, and we welcome new team members that share our values. We're backed by Benchmark, Redpoint Ventures, Ajax Health, and several other leading software and medical device investors. Since Acuity launched in 2020, we've brought on customers ranging from publicly traded Fortune 500 companies to innovative growth-stage companies and regional medical device distributors. The Product: AcuityMD uses data and software to help teams collaborate around the complex relationships they have with the users of medical technologies: doctors. Our platform empowers medical technology companies to see how their products are used, understand why outcomes vary, and identify opportunities where physicians or sites of care can better serve their patients. AcuityMD is an Equal Opportunity Employer AcuityMD is seeking to create a diverse work environment because all teams are stronger with different perspectives and life experiences. We strongly encourage people of all backgrounds to apply. We do not discriminate on the basis of race, gender, religion, color, national origin, sexual orientation, age, marital status, veteran status, or disability status. All employees and contractors of AcuityMD are responsible for maintaining a work culture free from discrimination and harassment by treating others with kindness and respect.

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency. At ___, innovation meets opportunity. We believe in using the power of collective human intelligence to ethically shape the future of AI. The Mindrift platform, launched and powered by ___, connects domain experts with cutting-edge AI projects from innovative tech clients. Our mission is to unlock the potential of GenAI by tapping into real-world expertise from across the globe. We’re on the hunt for hands-on Python engineers for a new project focused on developing Model Context Protocol (MCP) servers and internal tools for running and evaluating agent behavior. You’ll implement base methods for agent action verification, integrate with internal and client infrastructures, and help fill tooling gaps across the team. Who we're looking for: Calling all security researchers, engineers, and penetration testers with a strong foundation in problem-solving, offensive security, and AI-related risk assessment. We’re looking for someone who can bring a hands-on approach to technical challenges, whether breaking into systems to expose weaknesses or building secure tools and processes. We value contributors with a passion for continuous learning, experimentation, and adaptability. What you’ll be doing: • Developing and maintaining MCP-compatible evaluation servers, • Implementing logic to check agent actions against scenario definitions, • Creating or extending tools that writers and QAs use to test agents, • Working closely with infrastructure engineers to ensure compatibility, • 4+ years of Python development experience, ideally in backend or tools, • Solid experience building APIs, testing frameworks, or protocol-based interfaces, • Understanding of Docker, Linux CLI, and HTTP-based communication, • Ability to integrate new tools into existing infrastructures, • Familiarity with how LLM agents are prompted, executed, and evaluated, • Clear documentation and communication skills - you’ll work with QA and writers We also value applicants who have: • Experience with Model Context Protocol (MCP) or similar structured agent-server interfaces, • Knowledge of FastAPI or similar async web frameworks, • Experience working with LLM logs, scoring functions, or sandbox environments, • Ability to support dev environments (devcontainers, CI configs, linters), • JS experience, • Get paid for your expertise, with rates that can go up to $55/hour depending on your skills, experience, and project needs., • Take part in a flexible, remote, freelance project that fits around your primary professional or academic commitments., • Participate in an advanced AI project and gain valuable experience to enhance your portfolio., • Influence how future AI models understand and communicate in your field of expertise.

Join us and help shape the future of AI by defining the narrative around document understanding. We are seeking a highly technical ML engineer who can produce compelling, authentic technical content at high velocity. You will combine deep expertise in document AI with strong writing skills to build benchmarks, publish technical analyses, and establish our position as the definitive leader in document understanding. This is not a traditional DevRel or Marketing role. You will write real code, build real benchmarks, and run real experiments - then translate that work into published content at a pace far faster than academic publishing. Your output will directly drive awareness and adoption among the developers building the next generation of document-powered applications. * Design, build, and maintain comprehensive benchmarks for document parsing and understanding * Publish high-quality technical content at a weekly cadence (blog posts, benchmark reports, technical comparisons, tutorials) * Stay deeply current with the document AI landscape - new models, papers, competitors, techniques * Run experiments and translate findings into publishable artifacts quickly * Produce technical analyses that demonstrate our capabilities against alternatives * Contribute to open-source examples, notebooks, and documentation * Collaborate with the core ML team to surface improvements and capabilities worth highlighting * Engage authentically with the developer community through technical content (not conferences/events) * Experience in software engineering (ML engineering + research a bonus) * Strong software engineering fundamentals with production Python experience * Understanding of modern ML techniques, particularly in computer vision, NLP, or multimodal learning * Demonstrated ability to write clearly, quickly, and authentically about technical topics * Bias toward shipping - comfortable publishing at blog pace, not paper pace * Ability to read, understand, and synthesize research papers rapidly * Scrappy and self-directed - can identify what's worth writing about and execute end-to-end * Track record of high-velocity output in fast-paced environments * Experience with vision-language models, transformer architectures, or document AI specifically * Existing portfolio of technical writing (blog posts, tutorials, technical documentation) * Experience building evaluation frameworks or benchmarks * Familiarity with OCR, layout analysis, table extraction, or document structure understanding * Active presence in ML/AI technical communities * Experience with LLM applications and RAG systems In-person in San Francisco. Shape the Narrative: Your content will define how developers think about document understanding. You'll have direct influence on market perception. Technical Credibility: Work with cutting-edge document AI systems processing millions of documents. Your benchmarks and analyses will be grounded in real capabilities. High Autonomy: Significant freedom to identify what matters and publish quickly. No lengthy approval chains. Growth Opportunity: Help build this function from the ground up as we scale. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. LlamaIndex does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization location. LlamaIndex is not responsible for any fees related to unsolicited resumes.

About EnaraEnara is a world renowned obesity and medical weight loss start-up, based in Silicon Valley, pioneering the use of data, digital, and clinical treatments to provide personalized plans with measurable results. Enara was founded by people from Stanford, UCSF, Kaiser, ClassPass & Evernote. Our mission is to develop the first ever platform to scale obesity treatment. Our platform allows for the latest breakthroughs in nutrition, exercise, and obesity science to be optimized and delivered in a series of personalized and programmable experiences. Our solutions are disseminated through unified products and services we deploy for the healthcare ecosystem; with a current focus on small to medium sized medical groups and clinics. Our platform has served over 2000 members and delivers world leading 16%+ weight loss sustained over 3 years. We deliver life changing care to members and we are redesigning the clinic-patient . We are backed by ___, ___, VSC, Continuum Ventures, as well as many prominent angels in Silicon Valley. Team Values1. Empathy (First) - Every patient’s journey is unique, and we approach each with compassion and understanding, always treating patients with dignity.2. Empowerment (Through Partnership) - Patients are partners in their health journey. We strive to educate, motivate, and support them at every step.3. Respect for Diversity - We embrace and honor the unique backgrounds, cultures, and identities of every individual, fostering an environment of inclusion and understanding.4. Innovation (for Change) - We’re committed to challenging the status quo in healthcare, advancing technology and protocols to create sustainable health outcomes.5. Service - Heart of Service - With humility and purpose, we dedicate ourselves to serving others, putting compassion and commitment at the heart of everything we do. • Product Vision & Clinical ExecutionThe Clinical Ecosystem: Design and manage product lifecycles that account for the complex interplay between:Patients: Creating engaging, empathetic interfaces that drive adherence and behavioral change.Providers: Building tools that reduce burnout, streamline clinical workflows, and provide actionable data at the point of care.Administrators: Ensuring robustness in billing, reporting, compliance, and operational efficiency.Roadmap Strategy: Translate high-level company goals into a prioritized roadmap. You must be ruthless in prioritization, balancing new feature innovation with technical debt and operational stability.Data-Driven Iteration: Define success metrics (KPIs) built around clinical outcomes and user engagement. Use data to validate hypotheses and pivot when necessary., • Experience: 6-8+ years of progressive Product Management experience, with a minimum of 4 years specifically in Digital Health or Clinical Technology., • US Healthcare System Insight: Required residency in the US for at least 10 years, demonstrating deep practical knowledge of US clinical payment, regulatory, and operational environments (EMR, HIPAA, provider credentialing, etc.)., • The "Clinical" Trifecta: Proven experience shipping products that serve the distinct needs of Patients, Providers, and Administrators. You understand EMR integrations, clinical workflows, and HIPAA compliance., • Leadership Trajectory: Experience managing agile ceremonies and driving accountability in engineering teams. You have a track record of improving team performance and morale., • Technical Fluency: You don’t need to write code, but you must be able to debate technical trade-offs with engineers and understand the implications of architectural decisions.- Proven experience building with AI tools (e.g., LLM integrations, prompt engineering, or AI-assisted development workflows).- Proficiency in no-code/low-code platforms (e.g., Zapier, Bubble, Retool, or Airtable) to build internal tools or MVPs rapidly., • Communication: You can speak "Doctor," "Engineer," and "Business" fluently, switching contexts without friction., • Language: You are bilingual and able to work in Spanish via our Chilean Engineering team., • Empathy: You understand that behind every data point is a patient trying to change their life and a provider trying to help them., • Grit: You are willing to get into the weeds to unblock a release, but you know when to pull back and look at the horizon., • Ownership: You take personal responsibility for the success of the product and the health of the team., • Proactivity: You anticipate challenges, propose solutions before problems escalate, and drive initiative across the product lifecycle., • Mission-Driven: Work on a product that tangibly extends and improves human life., • Impact: Influence the culture and processes of a growing tech organization.

Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide. Living our values everyday results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves. About the Role We are seeking a Principal Product Manager, Agentic QM to lead the future of AI-driven quality management at Five9. In this pivotal role, you will shape the strategy and execution of groundbreaking agentic AI solutions that transform how contact centers evaluate, optimize, and elevate customer interactions at scale. As a principal-level product leader, you will drive innovation at the intersection of artificial intelligence and quality management, building autonomous AI agents that don't just analyze interactions but continuously learn, adapt, and recommend improvements. You'll position Five9 as the undisputed leader in intelligent quality management, delivering products that fundamentally change how organizations approach quality assurance. We're looking for a visionary product leader who combines deep technical expertise with exceptional strategic thinking and stakeholder influence. The ideal candidate brings a proven track record in AI/ML product management, demonstrated expertise in agentic AI architectures, and a passion for solving complex problems through autonomous intelligent systems. You should be equally comfortable discussing LLMs, RAG architectures, and multi-agent systems with engineers as you are presenting strategic roadmaps to executive leadership. This position is based in the US. You will lead and collaborate with a global team spanning the United States, Portugal, and India. What You'll Do Strategic Leadership • Define and drive the end-to-end product vision and strategy for Five9's agentic quality management platform, aligning with company objectives and market opportunities, • Own the product roadmap, balancing innovation with customer needs, competitive positioning, and technical feasibility, • Serve as the internal and external thought leader on agentic AI applications in contact center quality management, representing Five9 at industry events and with key customers, • Conduct deep competitive and market analysis, identifying emerging trends in automated quality management, agentic AI, and contact center technologies Product Development & Execution • Lead cross-functional teams across engineering, design, data science, and GTM to translate strategy into innovative AI agent capabilities, • Design and oversee the development of autonomous AI agents that perform sophisticated quality management tasks: interaction evaluation, pattern recognition, root cause analysis, coaching recommendations, and continuous improvement, • Define detailed product requirements for complex agentic systems, including agent planning, tool use, decision-making logic, and learning mechanisms, • Drive forward deployment engagements with enterprise customers, working hands-on to optimize AI agent performance and ensure successful adoption, • Balance high-level strategic thinking with tactical execution, diving deep into technical details when needed Go-to-Market & Business Impact • Develop compelling product positioning, packaging, and pricing strategies that highlight Five9's differentiated agentic QM capabilities, • Partner closely with customers, ISVs, system integrators, and partners to gather insights, validate solutions, and drive measurable business outcomes, • Lead beta programs and customer pilots, managing feedback loops and iterating rapidly based on real-world usage, • Build business cases and ROI models that demonstrate the value of agentic quality management solutions Team Development & Leadership • Mentor product managers and associate product managers, elevating the team's capabilities in AI/ML and quality management, • Champion best practices in AI product development across the organization, including responsible AI principles, evaluation frameworks, and user-centered design, • Foster a culture of innovation, experimentation, and continuous learning within the product organization What You Bring Required Qualifications • Bachelor's degree in Computer Science, Engineering, or related technical field; MBA or advanced degree is a strong plus, • 9+ years of experience in B2B SaaS product management, with significant focus on AI/ML-powered products, • Deep, hands-on understanding of AI technologies and their evolution: machine learning, natural language processing, Large Language Models, and agentic AI systems, • Proven track record of successfully launching and scaling AI/ML products from conception through growth, • Exceptional analytical and problem-solving skills, with demonstrated ability to make data-driven decisions in ambiguous situations, • Strong business acumen with experience in product positioning, pricing, and go-to-market strategy, • Outstanding communication skills, able to influence senior stakeholders and translate complex technical concepts for diverse audiences, • Experience leading through influence in matrixed, global organizations with distributed teams, • Track record of managing beta programs, running experiments (A/B testing), and leveraging customer feedback to drive product iterations Preferred Qualifications • Deep domain expertise in Automated Quality Management (AQM), contact center quality assurance, or workforce optimization technologies, • Hands-on experience designing and building agentic AI platforms, including autonomous agents with planning, reasoning, and learning capabilities, • Experience with forward deployment models, working directly with customers during implementation, onboarding, and optimization phases to drive adoption and value realization, • Strong understanding of contact center operations, quality frameworks (COPC, Six Sigma, Lean), and performance management best practices, • Technical proficiency with LLM applications, prompt engineering, RAG architectures, and agentic design patterns (ReAct, Chain-of-Thought, tool use, multi-agent orchestration), • Knowledge of AI evaluation methodologies: quality scoring, hallucination detection, bias assessment, performance monitoring, and continuous improvement, • Experience with AI agent orchestration frameworks and platforms, • Background working in fast-paced, high-growth SaaS companies serving enterprise customers, • Previous experience managing products in global, distributed teams across multiple time zones Why Five9 Join Five9 at a transformative moment as we pioneer the next generation of AI-powered contact center solutions. You'll have the opportunity to work on cutting-edge agentic AI technology, shape products used by thousands of contact centers worldwide, and make a meaningful impact on how organizations deliver exceptional customer experiences. Work Location: This role is fully remote for candidates who reside outside the 50 mile radius of our San Ramon office. For candidates who reside within 50 miles of our San Ramon location, this role is Hybrid and would require 3 days a week (M, W, TH) in our San Ramon office. As part of our continued commitment to diversity, equity, and inclusion, Five9 supports pay transparency during the entire recruitment process. Actual compensation packages are based on several factors that are unique to each candidate including, but not limited to: skill set, depth of experience, certifications, and specific work location. The range displayed reflects the minimum and maximum target for new hire salaries for the job across the United States. Your recruiter can share more about the specific compensation package during your hiring process. Additionally, the total compensation package for this position may also include an annual performance bonus, stock, and/or other applicable incentive compensation plans. Our total reward package also includes: • Health, dental, and vision coverage, beginning on the first day of employment. Five9 covers 100% of the employee portion of the health, dental and vision coverage and shares a high portion of the dependent cost. We also offer Short & Long-Term Disability, Basic Life Insurance, and a 401k saving plan with employer matching., • Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching and self-guided mindfulness exercises for all covered employees and their covered dependents., • Generous employee stock purchase plan., • Paid Time Off, Company paid holidays, paid volunteer hours and 12 weeks paid parental leave. All compensation and benefits are subject to the requirements and restrictions set forth in the applicable plan documents and any written agreements between the parties. The US base salary range for this role is below. $135,300—$398,200 USD Five9 embraces diversity and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better we are. Five9 is an equal opportunity employer. View our privacy policy, including our privacy notice to California residents here: ___. Note: Five9 will never request that an applicant send money as a prerequisite for commencing employment with Five9.

Hippocratic AI is developing the first safety-focused Large Language Model (LLM) for healthcare. Our mission is to dramatically improve healthcare accessibility and outcomes by bringing deep healthcare expertise to every person. No other technology has the potential for this level of global impact on health. * Innovative Mission: We are developing a safe, healthcare-focused large language model (LLM) designed to revolutionize health outcomes on a global scale. * Visionary Leadership: Hippocratic AI was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from leading institutions, including El Camino Health, Johns Hopkins, Stanford, Microsoft, Google, and NVIDIA. * Strategic Investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems. * World-Class Team: Our team is composed of leading experts in healthcare and artificial intelligence, ensuring our technology is safe, effective, and capable of delivering meaningful improvements to healthcare delivery and outcomes. For more information, visit ___. We are seeking a Customer Success Executive with health systems experience to join our team. You will ensure that our clients achieve measurable outcomes through Hippocratic AI’s innovative solutions. You will have the opportunity to partner and report to the Chief Medical Officer. This role will sit remotely in the Nashville, TN, area and serve local and surrounding clients as needed. It will be required to travel onsite to the client's location regularly. * Build and maintain strong relationships with healthcare staff and operational leaders, acting as a trusted resource. * Lead product implementations, focusing on aligning solutions with nursing workflows and operational processes. * Train nursing teams and other healthcare staff on the effective use of Hippocratic AI solutions, ensuring adoption and success. * Identify opportunities to improve workflows and patient care outcomes using AI tools, particularly in bedside care and nursing operations. * Manage day-to-day client relationships, ensuring seamless communication and addressing operational concerns. * Collaborate with internal teams (product, sales, and engineering) to address client feedback and improve user experiences. * Establish metrics to measure success, including patient care outcomes, team adoption rates, and operational efficiencies. * Travel extensively to healthcare facilities for onsite support and training, and participate in strategic in-office sessions in Palo Alto. * Collaborate with the nursing leadership team to share best practices from AI implementation and be comfortable presenting at conferences/webinars on the impact of AI in Nursing. Must-Have: * A minimum of 5 years of health systems experience. * Proven experience in customer success, account management, or project management. * Ability to build relationships across an organization, from front-line staff to executives. * Strong understanding of the healthcare industry, specifically clinical workflows and regulatory requirements. * Experience working with cross-functional teams in a fast-paced startup environment. * Strong background in project management. Nice-to-Have: * Experience with AI or technology adoption in healthcare. * Advanced knowledge of healthcare workflows and compliance standards. * Active Registered Nurse (RN) license from an accredited university. ***Be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @___ email addresses. We will never request payment or sensitive personal information during the hiring process. If anything appears suspicious, stop engaging immediately and report the incident.

About Us: Zeitview is the leading intelligent aerial imaging company for high-value infrastructure, providing businesses with actionable, real-time insights to recover revenue, reduce risk and improve build quality. We serve customers in the solar, wind, insurance, construction, real estate, and critical infrastructure industries. Trusted by the largest enterprises in the world, Zeitview is active in over 70 countries. Our mission is to accelerate the global transition to renewable energy and sustainable infrastructure through advanced inspection solutions. Take a look at our latest achievements ___! This role in one paragraph: Build the core product that serves every Zeitview vertical. You will build and ship Zeitview's primary enterprise platform, Asset Insights. You receive problem definitions and prioritized requirements from our vertical product leads: PMs who sit with customers in solar, wind, utilities, oil & gas, and commercial properties, and you turn those into working software. You partner with engineering leads to shape technical approach, manage cross-stage dependencies across the inspection pipeline (capture → analysis → delivery), and deliver complex programs at quality. Product vision and strategy are set by the Head of Product and VPs of Product; your job is to contribute technical judgment and then execute. What you'll actually do in the first 6 months: • Evaluate where generative AI, LLM, or agent-based capabilities should replace or augment existing platform workflows, and where they shouldn't, • Negotiate scope trade-offs between multiple vertical PMs competing for the same engineering capacity, and make those trade-offs legible to leadership, • Own the backlog for one or more pipeline stages in Asset Insights (e.g., analysis, analytics, action), writing epics and stories that engineering can pick up without a follow-up meeting, • Work side-by-side with operations teams who run inspections and deliver reports, identifying where product investment eliminates manual steps, • Inherit and improve the interface contracts between pipeline stages so that a change in capture doesn't break delivery, • Stand up or refine measurement frameworks for your product areas, defining what "working" means before you ship, not after This role is NOT: • A customer-facing strategy role. You will not own client relationships, run sales calls, or set vertical go-to-market strategy. If that's what you're looking for, see our Senior Product Manager - Vertical posting., • A greenfield vision role. You are executing against an existing product strategy, contributing to its evolution with technical insight, not defining it from scratch., • A people management role. You will informally guide other team members and coordinate across functions, but you will not have direct reports. Requirements: • Bachelor's degree (or higher) in a science, technology, or related field, or equivalent experience, • 8+ years of professional experience, with 5+ years in product management, • You have built and shipped enterprise B2B SaaS products. Not just managed a backlog, but made architectural and scoping decisions that affected whether the product worked at scale, • You have hands-on experience with AI/ML-powered product capabilities: generative AI, LLMs, agent-based systems, or comparable. You can evaluate an AI feature's readiness for production, not just pitch one., • You can hold your own in technical design discussions with engineering leads. You've shaped system architecture, evaluated build-vs-buy trade-offs, and ensured prototype-to-production paths are viable, • You have delivered complex, ambiguous programs across multiple teams where no single person had full authority, coordinating through influence, clarity, and follow-through, • You can write a product requirement that an engineer reads once and builds from. Your specs reduce ambiguity rather than create it., • You are fluent in quantitative reasoning: you've built measurement frameworks, designed experiments, and made judgment calls when the data was incomplete Strongly preferred: These will move you to the top: • Experience working with operational or service delivery teams. You understand that the product doesn't end at the UI, • Product management or domain experience in solar, wind, utilities, oil & gas, or commercial properties, • Experience with geospatial data pipelines, remote sensing, or inspection/asset management platforms, • Experience designing evaluation frameworks for non-deterministic AI outputs, • Experience with drone or remote piloted system workflows, • Experience in mobile application development What’s Included: • Feel great about your work as you join a leading mission-driven intelligent aerial imaging company - our goal is to accelerate the global transition to renewable energy and sustainable infrastructure, and you personally will play a large part in making this happen!, • Competitive base salary, annual bonus and stock options, • Your choice of multiple medical insurance plans, including options with an HSA and 100% coverage of the premium for yourself and your dependents, • Unlimited PTO: We mean it when we say we prioritize work-life balance and mental health, • Autonomy and upward mobility, • Diverse, equitable, and inclusive culture: a place where your voice matters This role has a base salary range of $160,000 - $180,000 USD, plus a target annual bonus and eligibility for stock options. Actual compensation may vary based on experience, skills, and location within USA. Zeitview is proud to be an equal opportunity employer. At Zeitview, we believe in cultivating an environment where our team members can bring their authentic, whole selves to work. Encouraging identity and belonging is one of the many aspects of our culture that makes us stronger as an organization and drives innovation. We are committed to building and delivering a diverse, inclusive, and equitable workforce that includes age, color, sex, disability, national origin, race, religion or veteran status, that is representative of the world around us, where all individuals are treated with respect and dignity - and to act swiftly if this value is ever threatened. We are constantly striving to be better, and we continue to take strategic steps to advance representation. We also provide reasonable accommodation for qualified individuals with disabilities and for seriously held religious beliefs in accordance with applicable law.

Location: US - Remote Experience: 8+ years in Cloud/Platform Engineering or Infrastructure, with a proven track record of leading cross-functional initiatives and influencing organizational AI strategy. We are looking for a visionary Staff AI-Native Platform Engineer to lead the evolution of our technical foundation. In this high-impact role, you will move beyond traditional automation to architect an AI-native ecosystem that integrates Generative AI into every layer of our Development Platform. As a technical leader within the Platform organization, you won’t just be maintaining infrastructure, you will be reimagining the developer experience (DevEx). You will be the primary advocate for GenAI, fostering a culture of “AI-first” engineering by building agentic workflows that accelerate Cloud Orchestration, CI/CD, Observability, and FinOps. We need a creative engineer who can bridge the gap between cutting-edge LLM capabilities and robust, production-grade platform tooling. * AI-First Development Platform: Design and build unified interfaces where AI agents manage complex tasks like environment provisioning, automated PR reviews, and self-documenting codebases. * Intelligent Orchestration: Embed AI-driven intelligence into CI/CD pipelines and Observability stacks to enable predictive scaling, automated incident triage, and self-healing systems. * Autonomous FinOps: Evolve AI-assisted FinOps workflows to automate cost attribution, anomaly detection, and optimization recommendations across AWS and other cloud environments. * Governance & Guardrails: Implement AI-driven governance to ensure architectural standards and security policies are met without slowing down developer velocity. * Agentic Tooling: Develop production-grade internal tools that use agentic reasoning to solve "day two" operational challenges for product teams. * Internal Developer Portal (IDP): Integrate natural language interfaces into our IDP, allowing developers to interact with the platform through conversational AI. * Actionable Insights: Transform raw telemetry into “executive-ready” insights using advanced data modeling and AI-driven visualization. * Strategic Advisory: Partner with senior leadership to model the technical and operational trade-offs of various AI architectural decisions (e.g., Build vs. Buy, Model Selection). * Team Upskilling: Act as a force multiplier by mentoring engineers on advanced AI tooling, prompt engineering for infrastructure, and the deployment of agentic systems. * Community Building: Stay at the forefront of the GenAI landscape, regularly sharing insights and driving the adoption of emerging tools and patterns across the organization. * Platform Expertise: 8+ years of experience in Cloud Engineering (AWS preferred), with deep knowledge of Kubernetes, Terraform/CloudFormation, and modern CI/CD patterns. * AI/ML Applied Logic: Expert-level experience applying AI techniques (summarization, RAG, agentic reasoning) to real-world operational workflows. You understand how to make LLMs "useful" in a production environment. * Advanced Programming: Expert Python skills and experience with AWS SDKs. You are comfortable building complex integrations and custom CLI/API tools. * The "Staff" Mindset: A history of leading large-scale, cross-functional projects. You can navigate ambiguity, build consensus across teams, and deliver measurable business impact. * Creative Evangelism: The ability to present complex AI concepts to both technical and non-technical stakeholders, inspiring teams to shift toward AI-native workflows. * Product Thinking: Experience building Internal Developer Portals (IDP) with a focus on "Platform as a Product" and user-centric design. * Experience with LangChain, LlamaIndex, or other AI orchestration frameworks. * Contributions to open-source platforms or AI projects. * Experience with vector databases and fine-tuning models for domain-specific tasks. The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. Remote USA $152,100 - $190,100 USD OUR OPPORTUNITY Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you’ll work hard and grow quickly. Working alongside the elite of the industry, you’ll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management. WHAT WE OFFER Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program! For more information, visit ___. Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide. All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws. If you are based in California, we encourage you to read this important information for California residents. Link: ___ Please be advised that Natera will reach out to candidates with a @___ email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes. For more information:

15Five is the AI-powered performance management platform built for business impact. 15Five’s AI-powered all-in-one people management system is easy to use, delivers effortless insights, and enables managers to lead with impact so that companies and their people can thrive. Within the flow of work, HR leaders are empowered with data-driven insights and recommendations while managers are transformed into change-makers, accelerating engagement, performance, and retention. 15Five combines generative AI, custom analytics, and human-centered principles within a complete platform, including 360° performance reviews, engagement surveys, goal tracking, manager coaching and training, and ongoing feedback tools like guided 1-on-1s and check-ins. A career at 15Five is the chance to have high impact in a fast paced, remote startup environment that operates with focus, urgency, and accountability. Every role and every hire meaningfully impacts our trajectory. We’re a high-performance, high-purpose team that gives you the chance to Build the Future of Work. We run on High Standards and High Support — holding a high bar for results, ownership, clarity, and disciplined execution, while investing in manager enablement, skill development, and whole-person care. We are committed to a No B.S. environment, meaning we anchor ourselves in truth, course-correct in real time, and expect people to lean into direct conversations. We are focused on ensuring every 15Fiver can Work in the Future and that starts with proactively using AI across all aspects of your role to increase leverage, speed, and impact. If you're energized by a fast pace, high standards, and high accountability for yourself and others, you'll thrive here and we encourage you to apply. Senior Product ManagerRemote (US) | Reports to: CTO About the RoleWe’re hiring a Senior Product Manager to lead AI‑powered performance management and agentic workflows embedded directly in the flow of work. You’ll shape product vision and execution for experiences that help managers and employees improve performance in real time. This role is highly cross‑functional and central to 15Five’s AI‑driven product strategy. • Performance management in the flow of work, • Agentic workflows in the flow of work, • Define and own the product vision for AI‑assisted performance and agentic workflows., • Build and execute a clear, outcome‑driven product strategy and roadmap., • Lead end‑to‑end product delivery across performance workflows, agentic systems, AI meeting assistance, and coaching., • Partner closely with Engineering and Design to deliver intuitive, low‑friction experiences., • Ensure alignment between core platform capabilities and in‑workflow AI surfaces across web, integrations, and agents., • Establish human‑in‑the‑loop safeguards, transparency, and trust in AI outputs., • Drive customer discovery through interviews, usability testing, and early‑adopter beta programs., • Translate insights into rapid iteration and continuous improvement., • Define and own product success metrics, including adoption, engagement, and impact., • Collaborate with GTM, Support, and Customer teams to ensure strong delivery and enablement., • 5+ years of product management experience building complex B2B SaaS products., • Proven ability to lead both 0→1 and scaled (1→N) product initiatives., • Experience shipping AI‑powered products, including LLM‑based or agentic systems., • Strong understanding of prompt design, AI evaluation, human‑in‑the‑loop systems, and quality measurement., • Experience partnering closely with engineering teams in highly technical product areas., • Experience building integrations for Slack, Microsoft Teams, or other flow‑of‑work tools., • Strong product judgment, user empathy, and ability to drive adoption and behavior change., • Data‑driven mindset with experience defining KPIs and measuring impact. For more information see:Our Mission, Vision, & Values -___Our People and Culture - Reading over the role description and feeling like you don’t check every box? That’s okay; if you think you have what it takes but don’t necessarily meet all the criteria, please apply—you could be exactly who we are looking for! 15Five follows equitable hiring practices. Our compensation programs are designed to attract, motivate, and retain talented employees who are highly engaged, high performing, and have an exceptional impact on the business and our customers. The salary range displayed on each job posting reflects the target for new hire salaries for the role across all US locations. Within the range, individual pay is determined by budget allocated for the role and additional factors, including job-related competencies and skills, experience, and relevant education or training. Please note that the compensation details listed in US job postings do not reflect added total compensation including equity or benefits. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

We're building the future of recruiting with AI – and we need an exceptional engineer to join our founding team in our San Francisco hackerhouse. We just raised a $3M pre-seed from top-tier investors and are looking for someone to be one of our first engineering hires. This is the real deal: meaningful equity, direct impact on product direction, and the chance to build something massive in a $600B industry ripe for disruption. What We're Building: Clera is reimagining how top talent finds their dream jobs. We're already working with leading VC-backed startups like Mintlify, Luminai, and Windsurf – automating the entire headhunting process end-to-end with AI agents. Thousands of talents engage with Clera every week. We've helped many land roles at companies they're genuinely excited about. Traditional recruiting is broken – we're fixing it with AI-first automation that delivers better outcomes for both candidates and companies. We're at the perfect inflection point: early enough that you'll have massive ownership and impact, but far enough that we have a working product, paying customers, and strong traction. The Role: You'll be engineer #4 on the founding team, working directly with our CTO and the other founding engineers. You'll ship features to production daily and own entire product areas from concept to deployment. We're building fully agentic systems that automate complex workflows. It's technically challenging, fast-paced, and high-impact. Your Experience: * Very strong software engineering background: Experience in TypeScript and React * Strong practical experience working with AI: We work 24/7 in Cursor - ideally you have experience coding with AI. Bonus if you have an experience working with LLM APIs * Startup mindset - high agency, resourceful, and obsessed with creating value Who You Are: * Take full ownership of projects, from concept to deployment and do whatever it takes to get the job done. * Write code fast and scrap it even faster, but know when to transition to building for scale and quality. * Enjoy talking to customers and iterating based on feedback. * Are willing to work hard, to create something new with a lot of impact, changing how millions of talents find their jobs in the future. Tech Stack: TypeScript, React, Cursor, Supabase, Prisma, Typesense, LLM APIs, ___ The SF Hackerhouse Setup: We're living and building together in SF. Zero commute, 10× faster feedback loops, constant collaboration. It's intense, but it's also incredibly productive and fun. You'll be surrounded by A-players who are all-in on building something great. Why Join Now: * Be engineer #4 – your decisions will shape the entire product * True ownership, no micromanagement, shipping to production every day * Experienced founders and a team of A Players * Meaningful equity in a fast-growing startup * Join before we scale 10-100× * We can support with visa processes Compensation: Competitive salary + significant equity If you're the kind of engineer who wants to build fast, own outcomes, and create something that matters – let's talk.

QuoteWell is building a modern commercial insurance brokerage by combining technology with deep domain expertise. A key part of our vision is an AI assistant powered by emerging LLM techniques that helps brokers anticipate and automate tasks, making their workflows faster, smarter, and more intuitive. We’re looking for an experienced engineer who wants to shape not just our technology, but also our product direction and business outcomes. * Build impactful products: Own and deliver features in our all-TypeScript stack (React + Node). * Shape product direction: Partner with Product, Design, and Data to define problems, break them down into incremental solutions, and validate with users. * Leverage AI in practice: Deliver innovative AI-driven agentic solutions for our insurance experts, designed for a future MCP-driven world. * Model complex data: Represent insurance data and relationships in intuitive, user-friendly tools that improve decision-making. * Collaborate and grow: Work in a remote-first, flexible, and accountable engineering culture while learning from teammates (and maybe a bit about insurance too). * Technical depth: Strong experience with TypeScript, React, and Node (or a very similar stack), and a history of shipping production code. * Product impact: A track record of influencing product and business direction through engineering insights. * AI curiosity: Familiarity with or interest in applied AI/LLM techniques and how they can power real products. * Collaborative skills: Ability to work across the full product lifecycle—specifying features, testing, iterating, and validating with users. * Generalist mindset: Willingness to learn new technologies and adapt to what the business needs most. * Flexibility to connect in person: Willingness to travel occasionally to Austin or team offsites. Location: Austin, TX or Hybrid Remote. Our primary hub is located in Austin, TX, and we have remote employees across the United States. We offer flexible co-working arrangements in locations with multiple engineers. What we offer our full-time employees * Competitive salaries + equity in the company * Medical, Dental, and Vision healthcare benefits + FSA and HSA options * Flexible vacation policy to recharge and live life * Paid membership to One Medical for employees, spouses / domestic partners, and dependents * Company-sponsored 401K plan (Roth & Traditional) * Paid parental leave, generous family forming benefits and up to $5,000 of reimbursements through Carrot * Up to $1,000 in home office reimbursements to build a productive space to work remotely * An opportunity to work on solutions that are redefining the future of commercial insurance * A culture driven by a focus on impact, a shared growth mindset, empowered individuals, and integrity