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Model Policy Manager, National Security

OpenAI
Remote - San FranciscoUpdated 15h ago
Compensation
$207k–$335k
Published range · Top quartile for Other (30 listings)
Location
Remote - San Francisco
Remote eligibility
Employment
Full-time
Mid-level
Role family
Other
AI / ML
Role skills
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About the job

About the Team

Safety Systems manages the complete lifecycle of safety efforts for OpenAI’s frontier models, ensuring responsible deployment and positive societal impact. The Model Policy team designs policies that define safe model behavior in real-world environments.

About the Role

We’re hiring a Model Policy Manager to shape model behavior for U.S. government use, with a focus on national security applications. You’ll define nuanced policies and translate them into training and evaluation criteria, helping models navigate high-stakes scenarios while preserving their usefulness and capabilities.

Responsibilities

  • Develop model policies that guide safe and useful behavior.
  • Build evaluations, identify policy gaps and model failures, and use findings to improve policies and training.
  • Work with research, engineering, and domain experts to support safe, reliable deployment.

Qualifications

  • Relevant experience in AI safety, policy, or risk assessment.
  • Strong judgment and ability to turn complex safety questions into clear, practical policies.
  • Technical fluency to work hands-on with model data and evaluations.
  • Motivated by OpenAI’s mission and the responsible use of AI in safety-critical settings.

Security Requirements

Candidates must be eligible and willing to obtain and maintain a U.S. government security clearance. An active clearance is not required at the time of hire, and OpenAI will sponsor the clearance process.

Compensation & Benefits

Salary range: $207K – $335K. Offers equity.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We are an equal opportunity employer.

Skills & tags

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