Product Manager, Sensitive Deployments

OpenAI; San Francisco (CA); On-site; USD 347,000 - 385,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) retirement plan with employer match

Paid parental leave

Flexible PTO

Mental health support

Annual learning and development stipend

Daily meals in office

Job summary

Slope is seeking a Product Manager in San Francisco to own the product strategy for Integrity's sensitive deployments. This includes high-consequence use cases relevant to government and regulated enterprise contexts. The ideal candidate will have experience in AI, integrity, and trust and safety, with a focus on building product systems that are safe to deploy. The role offers a hybrid work model with competitive compensation and excellent benefits, including 401(k) match, paid leave, and relocation assistance.

Qualifications

• Experience in AI, integrity, trust and safety, or security.
• Ability to turn policy into product requirements.
• Strong understanding of complex product systems.

Responsibilities

• Own the roadmap for sensitive deployment Integrity controls.
• Define measures for risk and decision quality.
• Build workflows for complex misuse patterns.
• Collaborate with teams to build shared capabilities.
• Create launch and deployment playbooks.

Skills

Leadership

Product strategy

Risk assessment

AI safety

Job description

Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Product Management

Compensation

• $347K - $385K offers equity

Additional benefits include:

• 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 throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
• Mental health and wellness support
• Employer-paid basic life and disability coverage
• Annual learning and development stipend to fuel your professional growth
• Daily meals in our offices, and meal delivery credits as eligible
• Relocation support for eligible employees
• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

The Integrity team builds the systems OpenAI uses to understand, prevent, and respond to misuse across our products. We partner 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 (e.g., 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.

In this role, you will:

• Own the roadmap for sensitive deployment Integrity controls and readiness criteria.
• Define how we 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.

You might thrive in this role if you:

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

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.

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.