Product Manager, Sensitive Deployments

Details

About the Team

The Integrity team builds the systems OpenAI uses to understand, prevent, and respond to misuse across our products. The team partners with Product, Policy, Safety Systems, User Operations, Security, Legal, Privacy, OpenAI for Government, and research teams to turn policy and threat models into product controls, review workflows, measurement systems, and enforcement paths.

About the Role

We are hiring a Product Manager to own Integrity's product strategy for sensitive deployments: contexts where model capability, customer or deployment setting, privacy constraints, and misuse potential make the operating bar unusually high. This includes government and other high-stakes deployments, regulated or high-trust enterprise contexts, zero data retention and privacy-constrained environments, and agentic workflows where harm can unfold across many steps rather than a single prompt.

The Sensitive Deployments PM will focus on high-consequence use cases relevant to government deployments and broader deployment-readiness questions for high-risk domains (for example, healthcare), while building reusable Integrity capabilities for agentic detection and enforcements in these environments.

This position is based in San Francisco, CA, with relocation assistance available.

Responsibilities

• Own the roadmap for sensitive deployment Integrity controls and readiness criteria.
• Define how to measure residual risk, decision quality, review quality, and mitigation effectiveness.
• Build agentic investigation and context-assembly workflows for complex, multi-step misuse patterns.
• Partner with Policy, Legal, Privacy, Safety Systems, User Ops, Government, and product teams to build shared capabilities.
• Create launch and deployment playbooks for sensitive customer, capability, and product contexts.

Requirements / Who you might thrive if you

• You have shipped complex product systems in AI, integrity, trust and safety, security, privacy, risk, government, regulated enterprise, or AI safety.
• You can turn ambiguous policy and threat-model questions into product requirements, metrics, operational workflows, and tradeoff frameworks.
• You are energized by agentic AI products and want to build the platform layer that makes them safer to deploy.
• You care about security, privacy, and responsible deployment while still wanting to build concrete product systems.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts.
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit).
• 401(k) retirement plan with employer match.
• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks).
• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees.
• 13+ paid company holidays and multiple paid coordinated company office closures, plus paid sick or safe time.
• Mental health and wellness support.
• Employer-paid basic life and disability coverage.
• Annual learning and development stipend.
• Daily meals in offices and meal delivery credits as eligible.
• Relocation support for eligible employees.
• Additional taxable fringe benefits such as charitable donation matching and wellness stipends.

Other notes

• Base pay range listed for this role: $347,000 - $385,000 per year. The company also offers equity and may provide performance-related bonuses. Relocation assistance is available. Background checks will be administered in accordance with applicable law.