# Deployment Lead, Forward Deployed Engineering (FDE) - Platform **Company:** [OpenAI](https://scaleengineer.com/companies/openai) OpenAI's Deployment Lead for Forward Deployed Engineering (FDE) Platform shapes production solutions by partnering with customers to validate, launch, and scale innovative use cases. This foundational leadership role combines product judgment with hands-on technical deployment expertise, requiring someone to navigate significant ambiguity while defining solutions that drive measurable customer and business impact. The ideal candidate brings 5+ years of product leadership or customer-facing technical delivery, proven ability to shepherd technical products through discovery to production adoption, and strong cross-functional influence across engineering, product, GTM, and enterprise customers. **Role:** Lead **Seniority:** Senior **Locations:** San Francisco **Salary:** 207000–294000 USD [Apply](https://jobs.ashbyhq.com/openai/bc80a3ae-1e69-4a8d-8366-77fcdd56ff61) Canonical: https://scaleengineer.com/jobs/openai/deployment-lead-forward-deployed-engineering-fde-platform --- ## Responsibilities - Define and Scope Solutions: Identify valuable customer problems and define clear solution architecture, translating customer workflows and deployment evidence into actionable product priorities. Use customer learnings and market evidence to narrow scope, set proof points, and recommend strategic investment areas for maximum business impact. - Lead Customer Validation and Pilot Programs: Select design partners strategically and conduct pilots to validate technical feasibility, measure value creation, and assess repeatability across diverse enterprise environments. Establish quality benchmarks and comprehensive launch criteria before broader rollout. - Drive Cross-Functional Alignment and Roadmap Planning: Partner with Forward Deployed Engineers, Product teams, and Go-to-Market stakeholders to align execution roadmaps, resolve shared dependencies, balance customer commitments with reusable platform capabilities, and navigate technical trade-offs in enterprise deployment scenarios. - Operationalize and Scale Delivery: Enable field teams and partners to independently scope, sell, and deliver solutions by creating comprehensive playbooks, documentation, and support models. Establish repeatable processes that allow the solution to scale without continuous dependency on the originating team. - Build and Evolve New Functions: Create organizational structure and operating cadences for new deployment functions, establish clear decision-making frameworks for incomplete information, and adapt priority allocation as customer needs and market dynamics evolve in fast-moving AI environments. - Track Adoption and Ensure Ongoing Ownership: Measure customer adoption metrics, establish ownership models for scaled solutions, and maintain focus on sustained business value creation as deployments grow across the customer base. Monitor integration patterns, data utilization, and enterprise deployment constraints. ## Requirements ### education - {"name":"Bachelor's Degree in Computer Science, Engineering, or Related Field","description":"Foundational education in computer science, software engineering, mathematics, or equivalent technical discipline providing core technical competencies for evaluating architecture and deployment challenges."} - {"name":"Advanced Expertise Through Professional Experience","description":"Strong preference for candidates whose deep expertise comes from hands-on professional experience in product development, systems engineering, and customer-facing roles rather than exclusively academic background."} ### technical - {"name":"Enterprise AI System Architecture","description":"Demonstrated expertise designing and deploying AI systems in enterprise environments, including understanding of integrations with existing customer infrastructure, data pipelines, and production deployment constraints at scale."} - {"name":"Data Engineering and Evaluation Frameworks","description":"Ability to reason through data requirements, evaluation methodologies, and quality assurance processes for AI deployments. Understand how to assess model performance, establish metrics, and validate production readiness across diverse use cases."} - {"name":"Integration Architecture and APIs","description":"Strong technical foundation in system integration patterns, API design, and data flow management across enterprise systems. Capability to evaluate technical feasibility of solutions and work with engineering teams on implementation details."} - {"name":"Cloud Platform and Infrastructure","description":"Working knowledge of cloud deployment models, infrastructure scalability, security requirements, and operational considerations for AI workloads. Understanding of monitoring, logging, and production support operational patterns."} ### experience - {"name":"Product Leadership and Customer-Facing Delivery","description":"Minimum 5+ years building and shipping technical products with direct customer interaction. Proven track record shepherding solutions from discovery and design partner validation through production launch and at-scale adoption."} - {"name":"Enterprise Sales Engineering and Technical Go-to-Market","description":"Hands-on experience translating technical capabilities into customer value propositions, conducting solution validation pilots with enterprise customers, and working with sales and customer success teams to establish repeatable delivery models."} - {"name":"Cross-Functional Leadership in Ambiguous Environments","description":"Demonstrated success building influence and making sound decisions across engineering, product, marketing, and customer teams without formal authority. Experience creating structure and operating models where little organizational precedent exists."} - {"name":"Scalable Process and Playbook Development","description":"Track record of creating documentation, runbooks, and operational playbooks that enable teams and partners to deliver solutions independently. Experience measuring and driving adoption of new offerings across customer bases."} ## Skills ### required - {"name":"Product Strategy and Definition","description":"Ability to translate customer requirements and market signals into clear product definitions, success criteria, and go-to-market strategies. Strong judgment in scope prioritization and trade-off analysis."} - {"name":"Technical Fluency with AI Systems","description":"Deep technical understanding of large language models, generative AI capabilities, and enterprise AI application patterns. Capability to evaluate technical feasibility, performance trade-offs, and deployment implications of AI solutions."} - {"name":"Customer Discovery and Validation","description":"Expertise conducting customer interviews, leading design partner relationships, and running structured validation pilots. Ability to extract actionable insights from customer interactions and evidence."} - {"name":"Cross-Functional Collaboration and Influence","description":"Proven ability to drive decisions and align priorities across engineering, product, GTM, and customer stakeholders. Strong communication skills for technical and non-technical audiences with executive presence."} - {"name":"Ambiguity Navigation and Decision-Making","description":"Comfortable making sound decisions with incomplete information, building structure from chaos, and adapting strategy as new evidence emerges. Track record thriving in startup or new function environments."} - {"name":"Operational Excellence and Process Design","description":"Skill in designing repeatable processes, creating comprehensive documentation, and establishing quality standards. Ability to measure adoption, track key metrics, and optimize delivery models."} ### preferred - {"name":"AI/ML Product or Deployment Experience","description":"Prior experience building or deploying AI and machine learning products, particularly in enterprise contexts. Familiarity with fine-tuning, prompt engineering, or retrieval-augmented generation architectures is a plus."} - {"name":"Forward-Deployed or Solutions Engineering Background","description":"Experience in solutions engineering, systems engineering, or forward deployment roles where you worked directly with customers on technical implementation and custom deployments."} - {"name":"Technical Program Management","description":"Background in technical program management or technical product management, particularly for complex, multi-stakeholder initiatives or platform solutions."} - {"name":"Startup Scaling Experience","description":"Experience building functions or scaling operations in fast-growing startup environments where you shaped organizational processes and operating models with minimal existing infrastructure."} - {"name":"Enterprise Software Knowledge","description":"Familiarity with enterprise software deployment challenges including security, compliance, data governance, and integration with existing customer technology stacks."} ## Tech stack ### tools ### others ### databases ### languages ### frameworks ## Benefits ### benefits - {"name":"Comprehensive Healthcare Coverage","description":"Medical, dental, and vision insurance with choice of multiple plans. OpenAI covers a significant portion of premiums for employee and eligible family members."} - {"name":"Generous Equity Package","description":"Significant stock options or equity grants with competitive vesting schedules, enabling employees to participate in OpenAI's long-term value creation as a leader in AI research and deployment."} - {"name":"Flexible Work Arrangements","description":"Hybrid work model with 3 days per week in office (San Francisco or New York City) and flexibility for remote work. Supports work-life balance while enabling strong team collaboration and customer engagement."} - {"name":"Relocation Assistance","description":"Comprehensive relocation support package to attract top talent from across the country. Assistance with moving expenses, housing coordination, and transition support to either San Francisco or New York City."} - {"name":"Professional Development and Growth","description":"Access to learning resources, conference attendance budgets, and mentorship opportunities with senior leadership. OpenAI invests in employee development and career advancement, particularly for high-impact technical and leadership roles."} - {"name":"Competitive Time Off","description":"Generous vacation policy, unlimited PTO for many roles, and paid holidays. Recognition that travel up to 50% requires flexible time management and recovery time between customer engagements."} - {"name":"Modern Work Environment","description":"Access to cutting-edge AI tools and technologies as part of OpenAI's product suite. Opportunity to use and influence the tools that define industry standards in generative AI and language models."} - {"name":"Mission-Driven Culture","description":"Work on defining how powerful AI systems are deployed responsibly to benefit humanity. Participate in shaping the future of AI deployment, customer trust, and ensuring safety and alignment as AI capabilities scale."} ## Compensation - **max:** 280000 - **min:** 200000 - **currency:** USD - **stockOptions:** true ## Interview process ### steps - {"name":"Initial Screening Conversation","description":"Discussion with recruiter to assess background, motivations, and cultural fit. Expect questions about your prior product leadership experience, customer-facing deployment work, and approach to working in ambiguous environments."} - {"name":"Technical Depth and Product Thinking Interview","description":"Technical interview focused on your ability to evaluate AI system architecture, data requirements, and enterprise deployment constraints. You'll discuss a previous product or deployment challenge, how you assessed feasibility, and trade-offs you navigated."} - {"name":"Customer Impact and Validation Case Study","description":"In-depth conversation about a specific example where you led customer validation, defined go-to-market strategy, or built adoption. Interviewers will probe decision-making, customer insights extraction, and business outcomes achieved."} - {"name":"Cross-Functional Leadership Interview","description":"Behavioral interview with engineering, product, or GTM leadership assessing your ability to drive alignment, make decisions without direct authority, and navigate conflicting priorities. Questions focus on real examples of influence and collaboration."} - {"name":"Hiring Manager Deep Dive","description":"Comprehensive discussion with the Deployment Lead's hiring manager covering strategic thinking, vision for the function, your approach to scaling adoption, and how you'd build new processes and structures in early-stage roles."} - {"name":"Executive Panel Discussion","description":"Potential conversation with senior leadership to assess strategic thinking, communication of complex ideas, and alignment with OpenAI's mission around AI deployment and customer impact."} ## Full description **About the Team** OpenAI’s Forward Deployed Engineering (FDE) team partners with customers to turn research breakthroughs into production systems. Within FDE, the Platform team turns promising use cases into repeatable solutions to deliver at scale. **About the Role** As a foundational Platform Deployment Lead (DL), you’ll shape new solutions and lead them from customer validation through launch and repeatable adoption. You’ll combine product judgment with hands-on customer deployment experience to identify valuable problems and define a path to scale. You’ll also help build the function, navigating significant ambiguity to define its scope and ways of working. You’ll partner with FDEs, Product, and GTM to align the roadmap, resolve shared dependencies, and balance customer commitments with reusable capabilities. Success means measurable customer and business impact, growing adoption, and building solutions that field teams or partners can deliver without depending on the originating team. This role is based in San Francisco or New York City, with 3 days in the office per week, relocation assistance, and travel up to 50%. **In this role, you will:** * Define clear solutions around a valuable problem and shape the path to market. * Use customer, field learnings, and market evidence to set the next proof point, narrow scope, and recommend where to invest. * Select design partners and use pilots to test value and repeatability. * Define quality and launch criteria. * Enable field teams and partners to scope, sell, and deliver the solution using playbooks and building the support model they need. * Track adoption and establish ongoing ownership as solutions scale. **You might thrive in this role if you:** * Bring 5+ years of product leadership or customer-facing technical delivery experience. * Have taken technical products from discovery through production and adoption. * Translate customer workflows and deployment evidence into clear product priorities. * Can reason through integrations, data, evaluations, and enterprise deployment constraints. * Thrive in ambiguity and enjoy building new functions: creating structure where little exists, making sound decisions with incomplete information, and adapting as priorities evolve. * Build trust and drive decisions across engineering, Product, GTM, partners, and customers. * Understand technical go-to-market and enjoy building new solutions in ambiguous environments. **About OpenAI** OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf). Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through [this form](https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA). No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this [link](https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241). [OpenAI Global Applicant Privacy Policy](https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf) At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.