OpenAI for Government works with U.S. and allied government institutions to support the responsible adoption of AI across defense, intelligence, federal civilian, state and local, and international public-sector missions. We help public servants use frontier AI in ways that are effective, trusted, and grounded in real-world requirements for safety, reliability, security, compliance, and accountability.
Government Trusted Access programs help eligible public-sector organizations and practitioners use advanced capabilities for approved, high-value work in sensitive domains. These programs bring together OpenAI for Government, Product Policy, Legal, Security, International, Research, User Operations, Technical Success, Global Affairs, and domain experts.
What you'd do
- Coordinate government participation across domain-specific Trusted Access programs, including cyber and biology, while helping stand up future programs as the portfolio evolves.
- Own the end-to-end program operating rhythm across intake, qualification, review, approval, onboarding, activation, ongoing support, renewal, and offboarding.
- Maintain a clear portfolio view of applicants and participating organizations, access levels, requirements, owners, dependencies, commitments, risks, and decisions needed.
- Build practical program mechanisms such as roadmaps, ownership maps, decision logs, risk registers, service standards, operating reviews, dashboards, and executive updates.
- Coordinate cross-functional reviews across OpenAI for Government, Safety, Product Policy, Legal, Security, Product, Research, User Operations, Technical Success, Global Affairs, and domain experts.
- Preserve clear decision boundaries: ensure the right domain owner makes eligibility, policy, safety, security, and access decisions while keeping the broader process moving.
- Identify stalled reviews, broken handoffs, unclear ownership, capacity constraints, and recurring operational gaps; bring the right context, options, and recommendation to resolve them.
- Partner with government-facing teams to set accurate expectations, coordinate participant communications, and ensure commitments are tracked through completion.
- Define and monitor program health through measures such as review time, backlog age, onboarding completion, activation, support demand, participant outcomes, and operational risk.
- Turn manual and one-off work into scalable workflows, documentation, training, automation, and tooling while retaining appropriate human judgment for sensitive decisions.