Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 3
Agentic AI @ 3
Security @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
The Integrity team builds systems to understand, prevent, and respond to misuse across 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.
The Product Manager will own Integrity's product strategy for sensitive deployments, including 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 multiple steps. The role focuses on high-consequence use cases relevant to government deployments and broader deployment-readiness questions for high-risk domains such as healthcare, while building reusable Integrity capabilities for agentic detection and enforcement.
Responsibilities
- Own the roadmap for sensitive-deployment Integrity controls and readiness criteria.
- Define methods for measuring 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 Operations, Government, and product teams to build shared capabilities.
- Create launch and deployment playbooks for sensitive customer, capability, and product contexts.
Requirements
- Experience shipping complex product systems in AI, Integrity, trust and safety, security, privacy, risk, government, regulated enterprise, or AI safety.
- Ability to turn ambiguous policy and threat-model questions into product requirements, metrics, operational workflows, and tradeoff frameworks.
- Interest in agentic AI products and building the platform layer that makes them safer to deploy.
- Interest in security, privacy, responsible deployment, and building concrete product systems.
Benefits
- Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
- Pre-tax accounts for health, dependent care, 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 taxable fringe benefits may be provided.
OpenAI is an equal opportunity employer. The role is based in San Francisco, California. Background checks and reasonable accommodations are handled in accordance with applicable law.