National Security Model Policy Lead (Hybrid)

Openai; United States; Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Relocation assistance

Hybrid work model

Job summary

the company in San Francisco seeks a Model Policy Manager to shape model behavior for U.S. government use, focusing on national security applications.

You will define nuanced policies and translate them into training and evaluation criteria to keep models safe and useful. Based in the San Francisco office with relocation support and a hybrid schedule (three days in-office, optional remote Thursdays and Fridays), the role collaborates with research, engineering, and domain experts to deploy

Qualifications

• Experience in AI safety, policy, or risk assessment.
• Ability to translate complex safety questions into practical policies.
• Technical fluency to work with model data and evaluations.
• Active TS/SCI clearance or equivalent preferred.
• Strong judgment and decision-making.

Responsibilities

• Develop model policies guiding safe and useful behavior.
• Design evaluations and identify policy gaps and model failures.
• Collaborate with research, engineering, and domain experts to support safe, reliable deployment.

Skills

AI safety experience

Policy development

Risk assessment

Technical fluency with model data

Judgment & decision-making

Tools

Evaluation tooling

Job description

the company in San Francisco seeks a Model Policy Manager to shape model behavior for U.S. government use, focusing on national security applications.

You will define nuanced policies and translate them into training and evaluation criteria to keep models safe and useful. Based in the San Francisco office with relocation support and a hybrid schedule (three days in-office, optional remote Thursdays and Fridays), the role collaborates with research, engineering, and domain experts to deploy