Lead Forward Deployed Engineer Migration Jobs

Who we are About Privy Our mission is to make privacy and user ownership the default online. To do so, we build simple, flexible APIs and tools for developers that make it easy to build new products on crypto rails. Privy owns the abstractions and infrastructure layer above wallets, integrating across chains, third-party providers, and Stripe products like Treasury and Link. We get to solve hard technical problems while leveraging Stripe's distribution to reach customers like Ramp, Klarna, Deel, Kraken, Hyperliquid, and Fomo — powering experiences for both mainstream users and crypto natives. About the team At Privy, Solutions Engineering owns the technical customer journey from evaluation through launch and beyond. They are the primary technical DRI throughout the entire customer lifecycle (pre-sales, integration, and post-launch support). They help customers move fast, stay unblocked, and get to production with confidence. This is a high-leverage role at the intersection of customers, product, and engineering. You’ll work closely with Account Management, Forward Deployed Engineers (FDEs), Product Engineering to make sure customers are set up to succeed and that technical issues get resolved quickly and clearly. We’re looking for someone who is deeply technical, highly organized, and customer-obsessed. Someone who can quarterback complex integrations, communicate clearly with technical stakeholders, and keep customer work moving with speed and rigor. What you’ll do Own the technical relationship for Privy’s most important customers end-to-end Lead technical discovery, implementation planning, and launch coordination Drive integrations to successful completion Unblock customer issues quickly and with urgency Coordinate technical follow-through across internal and external stakeholders Partner closely with Account Management on customer health and escalations Work with FDE when a problem requires bespoke technical work or product development Route long-tail iss

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As a Software Engineer at Baseten, you will own one of the most critical surfaces of our business: pricing, billing, and revenue infrastructure. As we launch more and more products— billing is no longer just operational plumbing. It is a strategic lever for growth. This role will establish clear ownership of billing as a function and create leverage for Finance, Sales, and GTM teams while maintaining a seamless customer experience. RESPONSIBILITIES Own Baseten’s end-to-end billing and revenue infrastructure, including pricing, invoicing, metering, and reporting foundations. Build and evolve our billing platform and integrations (including Orb), ensuring correctness, auditability, and a high-trust experience for customers and internal teams. Partner closely with Finance, Sales, GTM, and Forward Deployed Engineering to turn real-world workflows into reliable internal tooling and automation (quoting, approvals, renewals, usage reconciliation, revenue reporting). Design systems that scale with new products, packaging, and go-to-market motions, making billing a strategic lever for growth. Drive reliability and operational excellence for revenue-critical workflows: monitoring, alerting, incident response, backfills, and clear runbooks. Lead from the front on high-impact projects: clarify requirements, propose crisp technical approaches, ship iteratively, and raise the bar on quality and velocity. Debug and resolve pro

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We're hiring a Sales Manager to build and lead a team of Enterprise Account Executives. Enterprise at Baseten means the companies with the most to gain from AI and the most complexity in getting there: large digital natives running products at massive scale, and category leaders in software, financial services, and healthcare. They have the data, the distribution, and the budget. Most are still deciding what to build, what to run themselves, and what it should cost. You'll recruit and develop reps, run deals alongside them while the team ramps, and contribute to the playbook for how Baseten wins enterprise. It's a high-influence seat, close to our founders and GTM leadership. RESPONSIBILITIES Recruit, hire, and ramp a team of Enterprise sellers Coach reps through long, multi-stakeholder cycles: multithreading across buying committees, navigating security and procurement, and closing seven- and eight-figure deals Raise the bar on consultative selling. Your reps should be advising customers on AI strategy, not just running a product evaluation Partner on shaping and executing go-to-market strategy for your territory, including which verticals to attack first Operate as a player-coach, carrying deals yourself while the team builds Stay deep enough on the product to guide reps through technical evaluations, POCs, and architecture reviews alongside our forward-deployed engineers Work with Marketing, Product, Engineer

About the Team The Integrity team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary, but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale. The Integrity team is at the front lines of defending against misuse in all its forms: content abuse, scaled attacks, and other actions that could undermine the user experience or harm our operational stability. About the Role As a Machine Learning Engineer in OpenAI's Integrity team, you will have the opportunity to work with some of the brightest minds in AI. You’ll work on state-of-the-art models and classifiers, experiment with new architecture and approaches, and push forward our abilities in content and user understanding. You’ll help turn research breakthroughs into tangible solutions that improve the trust and safety of our platform. If you're excited about training LLMs and building ML models, this role is your chance to make a significant mark. In this role, you will: Innovate and Deploy: Design and deploy advanced machine learning models that solve real-world problems. Bring OpenAI's research from concept to implementation, creating AI-driven applications with a direct impact. Collaborate with the Best: Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions. Be part of a dynamic team where ideas flow freely and creativity thrives. Optimize and Scale: Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready. Contribute to projects that require cutting-edge technology and innovative approaches. Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Take part in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices. Make a Difference: Monitor and maintain deployed m

About the Team The Integrity team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary, but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale. The Integrity team is at the front lines of defending against misuse in all its forms: content abuse, scaled attacks, and other actions that could undermine the user experience or harm our operational stability. About the Role As a Machine Learning Engineer in OpenAI's Integrity team, you will have the opportunity to work with some of the brightest minds in AI. You’ll work on state-of-the-art models and classifiers, experiment with new architecture and approaches, and push forward our abilities in content and user understanding. You’ll help turn research breakthroughs into tangible solutions that improve the trust and safety of our platform. If you're excited about training LLMs and building ML models, this role is your chance to make a significant mark. In this role, you will: Innovate and Deploy: Design and deploy advanced machine learning models that solve real-world problems. Bring OpenAI's research from concept to implementation, creating AI-driven applications with a direct impact. Collaborate with the Best: Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions. Be part of a dynamic team where ideas flow freely and creativity thrives. Optimize and Scale: Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready. Contribute to projects that require cutting-edge technology and innovative approaches. Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Take part in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices. Make a Difference: Monitor and maintain deployed m

Datadog's Forward Deployed Engineering function is in an active growth phase, and the FDE Lead will play a central role in shaping what comes next. Working in close partnership with the Head of Datadog for Startups and Forward Deployed Engineers, and the existing FDE team, you will help define and expand the FDE framework, build out the structures and processes that allow the team to operate at scale, and extend the program's reach well beyond any single customer segment. This role sits at the rare intersection of sales, execution, program design, and hands-on engineering leadership. You are part field technical leader, part program architect, and part cross-functional connector. You will help determine what the FDE motion looks like at Datadog, contribute to its playbook, and push the boundaries of what the team can deliver. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Evolve and scale the FDE operating model end to end: engagement intake, scoping, sprint delivery, handoff back to account teams, and the success metrics (time-to-value, adoption lift, ARR influence, NPS) and reporting infrastructure that support them. Build out a catalog of FDE offerings spanning observability quickstarts, custom integration development, LLM/AI observability accelerators, CI/CD pipeline instrumentation, and cost optimization deep dives, and contribute to their pricing and business models, including free-to-paid conversion plays, paid deployment packages, and post-deployment success motions. Capture product and feature gaps uncovered during deployments, translate them into structured prioritized briefs, and partner with PM and Engineering to strengthen the field-feedback channel that informs roadmap decisions on a regular cadence. Hire, onboard, an

Datadog's Forward Deployed Engineering function is in an active growth phase, and the FDE Lead will play a central role in shaping what comes next. Working in close partnership with the Head of Datadog for Startups and Forward Deployed Engineers, and the existing FDE team, you will help define and expand the FDE framework, build out the structures and processes that allow the team to operate at scale, and extend the program's reach well beyond any single customer segment. This role sits at the rare intersection of sales, execution, program design, and hands-on engineering leadership. You are part field technical leader, part program architect, and part cross-functional connector. You will help determine what the FDE motion looks like at Datadog, contribute to its playbook, and push the boundaries of what the team can deliver. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Evolve and scale the FDE operating model end to end: engagement intake, scoping, sprint delivery, handoff back to account teams, and the success metrics (time-to-value, adoption lift, ARR influence, NPS) and reporting infrastructure that support them. Build out a catalog of FDE offerings spanning observability quickstarts, custom integration development, LLM/AI observability accelerators, CI/CD pipeline instrumentation, and cost optimization deep dives, and contribute to their pricing and business models, including free-to-paid conversion plays, paid deployment packages, and post-deployment success motions. Capture product and feature gaps uncovered during deployments, translate them into structured prioritized briefs, and partner with PM and Engineering to strengthen the field-feedback channel that informs roadmap decisions on a regular cadence. Hire, onboard, an

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE As an Engineering Manager (Player & Coach), you will lead and mentor a team of Forward Deployed Engineers focused on building, scaling, and optimizing LLM inference workloads for Baseten customers. Applying both hands-on technical ownership and managerial leadership, you will guide your team through the processes of designing, deploying, and managing high performance, low latency AI applications on Baseten’s platform. FDE at Baseten is not a sales function – we are a mix of engineering, product, and customer architects who contribute to the core Baseten codebase, drive large portions of our feature roadmap, and execute on complicated customer engagements. You will also partner with product, infrastructure, and other customer engineering teams to ensure that large language models (LLMs) and other generative AI systems deliver best-in-class performance, reliability, and cost efficiency in production environments. EXAMPLE INITIATIVES Take a look at these blog posts written by members of our Forward Deployed Engineering team: Forward Deployed Engineering on the frontier of AI The fastest, most accurate Whisper transcription Deploy production-ready model servers from Docker images Deploy custom ComfyUI workflows as APIs RESPONSIBILITIES Leadership & Team Management Lead, mentor, and grow a team of Forward Deployed Engineers, providing guidance on technical direction, project execution, and professional deve

About Bolna Bolna is Voice AI infrastructure built for India - and now for the world. We help businesses deploy intelligent voice agents that can call, converse, and convert in any language, at scale. From collections to customer support to sales, our agents handle millions of conversations so humans don’t have to. We’re a YC F25 company, backed by General Catalyst, with 1,050+ paying customers and growing fast. This Role As an Enterprise Lead , you will own the success of Bolna’s largest and most strategic enterprise deployments. You will lead a team of Forward Deployed Engineers (FDEs), ensuring enterprise customers move from business problem → deployment → measurable outcomes. You’ll work closely with CXOs and senior stakeholders on the customer side while partnering with Bolna’s Product, Engineering, and Business teams internally. This is a high-ownership role. You will be expected to bring structure to complex enterprise problems, drive execution through your team, and ensure that deployments are not just launched - but successful. You’ll operate at the intersection of enterprise delivery, customer success, technology, and business . What You’ll Do Lead and manage a team of FDEs , setting clear priorities, driving execution, and maintaining a high bar for customer delivery. Own the end-to-end success of strategic enterprise deployments - from scoping and solution design to launch, adoption, and expansion. Work directly with enterprise stakeholders and CXOs to understand business objectives, define success metrics, and communicate progress. Translate complex business requirements into clear execution plans across FDE, Product, and Engineering teams. Review deployment strategies, solution architecture, agent performance, and customer outcomes to ensure quality and scalability. Identify risks and bottlenecks early and drive cross-functional teams toward resolution. Build repeatable enterprise deployment playbooks, processes, and best practices . Analyze customer a

About the Team OpenAI’s Physical Engineering work explores how frontier AI can help people design, simulate, and build better physical products. We work directly with customers to identify high-value engineering applications that shorten development cycles, improve product performance, and create measurable business value. About the Role We are hiring a Physical Engineering Business Lead to bring firsthand product engineering experience into our customer work. You’ll combine deep familiarity with CAD, simulation, or related engineering tools with the ability to lead customer discovery, explain complex ideas clearly, and turn promising use cases into high-impact projects. This is a hands-on, customer-facing role. You’ll work closely with customer engineering teams, senior leaders, forward-deployed engineers (FDEs), and account teams from early discovery through delivery. You’ll help frame valuable design and simulation problems, guide projects with practical engineering judgment, and support adoption and measurable outcomes. You’ll also turn what we learn from customers into product feedback, reusable delivery methods, and recommendations for our go-to-market and partnership strategies. As the work grows, this role may evolve into broader practice leadership. Key Responsibilities Lead discovery and workshops with customer engineering teams and senior leaders to identify high-value design and simulation use cases Develop promising use cases into significant projects with FDE and account teams, forming clear hypotheses about value, feasibility, engineering constraints, and adoption Work alongside FDEs and customer teams through delivery, bringing practical engineering context, surfacing risks early, and helping projects achieve measurable outcomes Explain how AI can improve physical-product engineering, grounded in real experience with CAD, simulation, engineering workflows, and design tradeoffs Build customer confidence through clear technical storytelling, compelling

About the team The OpenAI for Government team is a dynamic, mission-driven group leveraging frontier AI to transform how governments achieve their missions. Our team works to empower public servants with secure, compliant AI tools (e.g., ChatGPT Enterprise, ChatGPT Gov) and mission-aligned deployments that meet government technical requirements with strong reliability and safety. As part of the OpenAI for Government team you will work across the U.S. national security and cyber ecosystem, helping to accelerate adoption through hands-on support, tailored training, and early insights—so civil servants can spend less time on red tape and more on meaningful work. You will partner with government organizations to identify high-impact opportunities, translate complex cyber mission challenges into AI-enabled solutions, and drive secure deployments that help cyber professionals move faster and operate more effectively. If you're passionate about responsibly deploying frontier AI to uplift public institutions, strengthen cyber resilience, and transform how the government serves the American people, we want you on our team. About the Role The Strategic Delivery Lead (Cyber) will identify and deliver on some of OpenAI’s most complex and high-impact deployments for the U.S. national security and cyber enterprise. In this role, you will work closely with our national security partners and cyber mission owners to make their hardest problems solvable on the OpenAI Platform API and ChatGPT Enterprise. The role is highly cross-functional and customer-facing: You’ll partner with Research, Engineering, Go-to-Market, Forward Deployed Engineers, Solutions Architects, security teams, and external stakeholders to align on scope, unblock delivery, and communicate progress at every level, from technical teams to C-suite. You will own and drive execution of technical delivery workstreams led by internal teams (Forward Deployed Engineers, Researchers, Solutions Architects), ensuring clear pro

About the team The OpenAI for Government team is a mission-driven group bringing frontier AI to the U.S. Intelligence Community (IC) and broader national security enterprise. We partner with intelligence professionals to deploy secure, compliant AI capabilities—including ChatGPT Enterprise, ChatGPT Gov, and the OpenAI API—in mission-aligned environments that meet rigorous security, privacy, reliability, and responsible-AI requirements. As part of the OpenAI for Government team, you will work across IC elements and mission partners—including ODNI, CIA, NSA, DIA, NGA, NRO, and other federal intelligence organizations—to help analysts, collectors, operators, and technical teams apply frontier AI to their highest-priority missions. We accelerate adoption through hands-on support, mission-specific workflows, tailored enablement, and measurable operational outcomes while preserving human judgment, analytic integrity, and protection of sensitive information. About the Role The Strategic Delivery Lead (SDL) for the Intelligence Community will identify, shape, and deliver OpenAI’s highest-impact deployments for U.S. intelligence organizations. You will help IC customers translate mission priorities—including all-source analysis, intelligence production, collection management, open-source and geospatial exploitation, cyber threat analysis, knowledge discovery, and analyst productivity—into secure, technically feasible AI deployments built on the OpenAI API and enterprise products. The role is highly cross-functional and customer-facing: you will partner with Research, Engineering, Go-to-Market, Security, Legal, Privacy, and government mission, acquisition, and technical stakeholders to align on scope, remove delivery obstacles, and communicate progress from working teams to agency leadership. You will own end-to-end execution of technical delivery workstreams led by Forward Deployed Engineers, Researchers, Solutions Architects, and Enablement teams. You will establish mission

About the team The OpenAI for Government team is a dynamic, mission-driven group leveraging frontier AI to transform how governments achieve their missions. Our team works to empower public servants with secure, compliant AI tools (e.g., ChatGPT Enterprise in custom configurations) and mission-aligned deployments that meet government technical requirements with strong reliability and safety. As part of the OpenAI for Government team you will work across U.S. defense enterprises, helping to accelerate adoption through hands-on support, tailored training, and early insights—so civil servants can spend less time on red tape and more on meaningful work. If you're passionate about responsibly deploying frontier AI to uplift public institutions and transform how the government serves the American people, we want you on our team. About the Role The Strategic Delivery Lead (SDL) for DoW will identify and deliver on some of OpenAI’s most complex and high-impact deployments for the U.S. national security enterprise, with a focus on CDAO-led efforts including GenAI.mil , Advana (WDP), and other programs that accelerate DoW adoption of data, analytics, and artificial intelligence across the DoW enterprise. The role is highly cross-functional and customer-facing: You’ll partner with Research, Engineering, Go-to-Market, CDAO, the Military Departments and Services supported by CDAO, and other external stakeholders to align on scope, unblock delivery, and communicate progress at every level, from technical teams to C-suite. You will own and drive execution of technical delivery workstreams led by internal teams (Forward Deployed Engineers, Researchers, Solutions Architects, Enablement), ensuring clear problem-framing, crisp milestone definitions, proactive risk identification, rapid issue resolution, and effective translation between business objectives and technical solutions, while consistently communicating clear progress and demonstrating tangible value to national security cus

Opportunity Overview: We're seeking a Director, Solutions Architecture to lead our team of Solution Architects within Cohere Health's PaaS Delivery organization. In this player-coach role, you'll set the technical and business standard for how Cohere designs solutions for complex healthcare clients running large, mission-critical platforms like claims systems and utilization management infrastructure. You'll partner closely with Solution Owners, Forward Deployed Engineers, Technical Program Managers, Platform Configuration, and QA to keep solution design in sync with delivery. This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events. What you’ll do: Manage a team of 8 Solution Architects — hiring, coaching, performance management, and career development Set the standard for solution design quality across the team: how SAs guide clients to existing functionality, document the BRD/FRD, and design future-state workflows Foster a culture of engaging with customers where they are — saying yes where we can, and pushing back constructively when we can't Own escalations when a solution design is contested, technically infeasible, or in tension with a commercial commitment Balance workload and account assignments across the team as new implementations continue to ramp up Partner with Solution Owners, FDEs, Platform Configuration, QA, and TPMs across the Delivery org to keep solution design in sync with delivery timelines Represent Solution Architecture in cross-functional planning and with client executive stakeholders on complex or escalated accounts Build repeatable training materials, templates, and playbooks so solution quality doesn't depend on any one architect What you’ll need: 12+ years in solution architecture, technical consulting, or similar client-facing technical roles, including significant healthcare experience 3+ years directly managing a technical team — solution

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Enterprise at Baseten means the companies with the most to gain from AI and the most complexity in getting there: large digital natives running products at massive scale, and category leaders in software, financial services, healthcare, and beyond. They have the data, the distribution, and the budget. Most are still deciding what to build, what to run themselves, and what it should cost. That makes this a consultative sale. You'll spend as much time helping a VP of Engineering pressure-test their AI strategy as you will selling against an alternative, mapping use cases, framing build-vs-buy, and giving clear recommendations grounded in what you've seen work at the frontier. Then you'll do the enterprise work: multithreading across a buying committee, navigating security and procurement, and turning a first workload into an eight-figure relationship. You'll work alongside our founders, forward-deployed engineers, and GTM leadership, in a seat where the playbook is still being written. RESPONSIBILITIES Own a revenue target end to end, from prospecting and outbounding through closing Tier 1 accounts in your verticals Act as a strategic advisor on AI adoption: identify use cases, shape architecture decisions, and lead with clear, opinionated recommendations Multithread across large organizations, from the engineers running evals to the executives funding the program to security, legal, and procurement Win lighthouse