Early Access Deployment Engineer

at OpenAI
USD 250,000-330,000 per year
SENIOR
✅ Hybrid
✅ Relocation

Tech Stack

AI @ 4 Communication @ 6 Experimentation JavaScript @ 6 LLM Marketing Python @ 6 Scoping @ 7 Security TypeScript @ 6

Details

The Early Access Program team leads high-impact alpha programs at the intersection of customers, Product, Research, Engineering, Go-To-Market, Security, Legal, and launch teams. The team partners with customers to test emerging capabilities with real-world use cases, surface actionable insights, and support launch decisions.

This role involves leading technical engagements with customers leveraging frontier capabilities to solve real-world use cases. The engineer will work at the earliest stages of development, identifying high-value use cases, prototyping solutions, designing evaluations, troubleshooting issues, and translating customer experiences into actionable feedback for Research and Product.

The role owns early access program execution end to end, including customer onboarding, live experimentation, findings synthesis, and informing launch decisions. It also involves developing reusable technical approaches, improving how the company learns from customers, and providing recommendations on what should be built, refined, or scaled.

The role is based in San Francisco and follows a hybrid work model requiring three days in the office per week.

Responsibilities

  • Engage deeply with strategic customers during early alpha stages to understand their goals, workflows, technical constraints, and highest-value opportunities.
  • Translate emerging and ambiguous model capabilities into scoped use cases, working prototypes, and clear success criteria.
  • Prototype rapidly with customers, Product, and Research through experiment-driven iteration.
  • Design and support evaluations that reveal model behavior, solution quality, workflow impact, and failure modes.
  • Evaluate and troubleshoot feedback across products and model behavior to determine patterns and gaps.
  • Own early access program execution from customer onboarding and live experimentation through synthesis and launch decisions.
  • Align Research, Product, Engineering, Go-To-Market, Legal, Security, Marketing, and launch teams by communicating risks, tradeoffs, and recommendations clearly.
  • Codify architectures, evaluation methods, technical patterns, and program learnings into reusable playbooks that improve future deployments.

Requirements

  • 4+ years of software engineering or equivalent technical experience, including meaningful customer-facing delivery and ownership of production systems.
  • A track record of rapidly turning ambiguous ideas into working prototypes and carrying the strongest approaches through to reliable solutions.
  • Demonstrated systems-thinking experience.
  • Proficiency in Python and/or JavaScript or TypeScript.
  • Comfort working across modern front-end and back-end development.
  • Familiarity with cloud deployment.
  • Practical AI and large language model depth, including experience reasoning about model behavior, designing evaluations, and building production-oriented AI applications.
  • Strong product and customer judgment, including identifying high-value problems, scoping experiments, separating signal from noise, and balancing speed with technical integrity.
  • Ability to own problems end to end, learn unfamiliar technical or domain concepts quickly, and impose useful structure without waiting for perfect information.
  • Ability to manage several high-stakes technical engagements simultaneously while anticipating blockers, adapting plans, and maintaining momentum.
  • Clear and empathetic communication skills, with the ability to challenge assumptions constructively and build trust with technical and non-technical stakeholders.

Benefits

  • Salary range of $250,000–$330,000 per year, plus equity.
  • Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
  • Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses.
  • 401(k) retirement plan with employer match.
  • Paid parental, medical, and caregiver leave.
  • Paid time off, paid company holidays, office closures, and paid sick or safe time as required by law.
  • Mental health and wellness support.
  • Employer-paid basic life and disability coverage.
  • Annual learning and development stipend.
  • Daily office meals and eligible meal delivery credits.
  • Relocation support for eligible employees.
  • Additional benefits may include charitable donation matching and wellness stipends.

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