Forward Deployed Engineering Team Lead Jobs

CSQ227R258 As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks Platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get the most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specifications with exceptional customer empathy. Location: San Francisco Bay Area Preferred This role is San Francisco Bay Area-focused. We're looking for someone who is based in the San Francisco Bay Area, willing to relocate or able to travel to the area at least one week per month to spend meaningful time with customers and the team. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement custo

CSQ227R258 As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks Platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get the most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specifications with exceptional customer empathy. Location: San Francisco Bay Area Preferred This role is San Francisco Bay Area-focused. We're looking for someone who is based in the San Francisco Bay Area, willing to relocate or able to travel to the area at least one week per month to spend meaningful time with customers and the team. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement custo

CSQ227R258 As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks Platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get the most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specifications with exceptional customer empathy. Location: San Francisco Bay Area Preferred This role is San Francisco Bay Area-focused. We're looking for someone who is based in the San Francisco Bay Area, willing to relocate or able to travel to the area at least one week per month to spend meaningful time with customers and the team. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement custo

CSQ227R258 As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks Platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get the most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specifications with exceptional customer empathy. Location: San Francisco Bay Area Preferred This role is San Francisco Bay Area-focused. We're looking for someone who is based in the San Francisco Bay Area, willing to relocate or able to travel to the area at least one week per month to spend meaningful time with customers and the team. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement custo

CSQ227R258 As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks Platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get the most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specifications with exceptional customer empathy. Location: San Francisco Bay Area Preferred This role is San Francisco Bay Area-focused. We're looking for someone who is based in the San Francisco Bay Area, willing to relocate or able to travel to the area at least one week per month to spend meaningful time with customers and the team. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement custo

CSQ427R96 As a Sr. Forward Deployed Engineer in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. FDEs are billable and know how to complete projects according to specification with excellent customer service. You will report to the Sr. Manager, Professional Services. The impact you will have: You will work on a variety of impactful customer technical projects which may include building reference architectures, how-to's and production grade MVPs / Greenfield projects Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications Consult on architecture and design; bootstrap or implement strategic customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks Provide an escalated level of support for customer operational issues. You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues What we look for: 8+ years experience with Big Data Technologies such as Apache Spark™, Kafka, Cloud Native and Data Lakes in a customer-facing post-sales, technical architecture or consulting role. Comfortable writing code in either Python or Scala. Experience with technical project delivery - managing scope and timelines. Documentation and white-boarding skills. Experience

Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? As Fin becomes mission-critical for our most strategic customers, we’re growing a team of Forward Deployed Engineers to help bridge the gap between customer needs and product innovation. These roles can be based out of our San Francisco or Chicago offices. As a Forward Deployed Engineer, you’ll work hands-on with strategic customers, partnering closely with our R&D and Go-to-Market teams to design and deliver high-impact solutions. You’ll go beyond implementation - helping shape product direction, influence roadmap decisions and ensure Fin delivers real, measurable business outcomes in complex, real-world environments. If you’re excited by ownership, creativity and solving ambiguous problems, and want to work at the frontier of applied AI while collaborating with Product, Engineering

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About Okta for AI Agents Okta secures access for 20,000 organizations and billions of users. Okta for AI Agents extends that work to the agentic shift. Deploying an AI agent is not like deploying traditional software. You are putting professional work output into production, and it needs deep integration, continuous tuning, and change management. Every agent needs an identity, a scope, an audit trail, and a way to be shut down when it goes wrong. Most enterprises have not built this yet. We are. We hire builders who see the cracks in enterprise agent identity that everyone else has learned to live with. The Role You are the most senior technical field authority for agent identity at Okta. Where a Senior FDE owns the outcome inside one account, you own the patterns that every account and every FDE inherits. You take the hardest and most strategic deployments yourself, set the reference architecture the team builds from, and turn what the field learns into the direction the product takes. You still write code. You also multiply the people around you, and you are the person product and engineering leadership call when an agent identity problem has no precedent. Responsibilities Own the reference architecture. Define the canonical agent identity, delegation, audit, and kill-switch patterns that Senior FDEs deploy across the portfolio, and keep them current as the standards and the product move. Lead the hardest accounts. Personally own the most strategic, regul

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About Okta for AI Agents Okta secures access for 20,000 organizations and billions of users. Okta for AI Agents extends that work to the agentic shift. Deploying an AI agent is not like deploying traditional software. You are putting professional work output into production, and it needs deep integration, continuous tuning, and change management. Every agent needs an identity, a scope, an audit trail, and a way to be shut down when it goes wrong. Most enterprises have not built this yet. We are. We hire builders who see the cracks in enterprise agent identity that everyone else has learned to live with. The Role You are the most senior technical field authority for agent identity at Okta. Where a Senior FDE owns the outcome inside one account, you own the patterns that every account and every FDE inherits. You take the hardest and most strategic deployments yourself, set the reference architecture the team builds from, and turn what the field learns into the direction the product takes. You still write code. You also multiply the people around you, and you are the person product and engineering leadership call when an agent identity problem has no precedent. Responsibilities Own the reference architecture. Define the canonical agent identity, delegation, audit, and kill-switch patterns that Senior FDEs deploy across the portfolio, and keep them current as the standards and the product move. Lead the hardest accounts. Personally own the most strategic, regul

CSQ327R141 As a Sr. Forward Deployed Engineer in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. FDEs are billable and know how to complete projects according to specification with excellent customer service. You will report to the Sr. Manager, Professional Services. The impact you will have: You will work on a variety of impactful customer technical projects which may include building reference architectures, how-to's and production grade MVPs / Greenfield projects Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications Consult on architecture and design; bootstrap or implement strategic customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks Provide an escalated level of support for customer operational issues. You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues What we look for: 8+ years experience with Big Data Technologies such as Apache Spark™, Kafka, Cloud Native and Data Lakes in a customer-facing post-sales, technical architecture or consulting role. Comfortable writing code in either Python or Scala. Experience with technical project delivery - managing scope and timelines. Documentation and white-boarding skills. Experience

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About the Role - Multiple Levels This is an engineering delivery role where you’ll translate ambiguous customer needs into production-grade data, evaluation, and ML-assisted workflows. This is a high-impact role focused on end-to-end ownership of the AI data pipeline lifecycle, including developing and deploying ML-based workflows and building the technical foundations that make our human-in-the-loop (HITL) data generation and review faster, more reliable, and more effective. You’ll work at the critical intersection of data science, data engineering, AI engineering and operations, partnering closely with our DaaS Delivery Operations team and cross-functional stakeholders. You’ll develop technical specifications, design evaluation workflows, implement quality standards, measurement frameworks, and ML-assisted applications which improve our data pipelines and unblock projects through technical innovation. This role is ideal for someone who is comfortable working throughout the delivery lifecycle, rolling up their sleeves to solve complex multi-faceted problems, thrives as a technical communicator and works well as a key member of a team. Main Responsibilities Project Execution & Delivery Build and deploy evaluators, design and implement quality measurement systems to validate project outputs and ensure deliverables meet client expectations Generate synthetic datasets by developing or adapting existing pipelines to accelerate client engagements and aug

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About the Role Snorkel AI is hiring a Director, Forward Deployed Researcher on the Data-as-a-service team. Your team will partner directly with frontier AI labs on their hardest data problems: scoping training data needs, designing RL environments, developing evaluation frameworks, and translating customer research objectives into actionable technical plans. This is a player-coach role. Roughly half your time goes to people leadership (hiring, coaching, developing your team) and the other half to hands-on technical work on strategic accounts. You set the technical bar for spec quality and build the playbooks and processes that let the team scale. You influence how the function operates, from process and standards to team culture. You partner closely with AE leadership on pipeline strategy, account coverage, and SE allocation. You also work cross-functionally with Delivery, Research, and Engineering to ensure smooth handoffs. The right person for this role can hold their own with frontier AI researchers, has strong presales instincts, and wants to build a team. Main Responsibilities Recruit, hire, and develop the forward deployed research team, coaching the team on technical quality, customer engagement, and career growth Set and maintain the technical bar for specifications, evaluation frameworks, and customer deliverables Own SE capacity planning and account coverage; partner with AE leadership on deal strategy, engagement prioritization, and pipeline

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