Research Program Manager, Safety Measurement

Details

Safety Systems manages the complete lifecycle of safety efforts for OpenAI’s frontier models, ensuring that models are deployed responsibly and have a positive impact on society. Its work spans system-level safeguards, model training, evaluation, and red-teaming to mitigate misuse and maintain a high bar for safety.

The Safety Measurement Research Program Manager drives OpenAI’s strategy for safety measurement and evaluations. The role partners with safety research, data science, and engineering teams to advance how harm and safeguard efficacy are measured across research and production.

The position is based in San Francisco, California, with relocation assistance available.

Responsibilities

• Define strategic priorities and product roadmaps to improve safety measurement and evaluation approaches.
• Scale the measurement platform to new use cases, products, and cross-functional team needs.
• Partner with research, data science, engineering, policy, and other stakeholders to develop a vision for understanding safety outcomes and prevalence across products.
• Translate the safety measurement vision into concrete programs of work.
• Drive the integration of AI safety research into safety measurement and evaluation platforms.
• Work with researchers, data scientists, and engineers to navigate technical tradeoffs, coordinate dependencies, and resolve blockers.
• Develop and continuously refine clear, actionable success criteria for safety measurement and evaluations.
• Represent quantitative progress on safety to senior leadership.

Requirements

• 6+ years of experience in research program management, technical program management, product management, or related roles.
• Expertise in AI safety, trust and safety, integrity, or related domains.
• A strong foundation in data science, statistics, economics, or a related field.
• Hands-on experience with measurement or evaluations.
• Ability to translate evolving measurement needs into clear requirements, priorities, and roadmaps.
• Ability to independently drive complex, cross-functional programs from problem definition through rollout.
• Strong judgment regarding technical tradeoffs and the strengths and limitations of metrics and evaluations.
• Ability to build partnerships across research, data science, engineering, policy, and product teams.
• Ability to communicate complex findings clearly to technical teams and leadership.
• Curiosity about AI safety and its societal impacts, with the ability to learn new domains quickly and adapt as research and priorities evolve.

Benefits

• Base salary range of $239,000–$328,000 per year.
• Equity and performance-related bonuses for eligible employees.
• 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, company holidays, and paid office closures.
• 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 include charitable donation matching and wellness stipends.