Product Policy Biosecurity Policy Manager

About the Role

The Product Policy Biosecurity Manager will be responsible for providing biosecurity and life sciences policy advice to technical and product teams, based on an in-depth understanding of model capabilities, biological R&D workflows, abuse pathways, and the practical needs of legitimate scientific users. This role requires strong communication skills, the ability to reason across adjacent areas, and experience in turning complex technical or scientific risk into durable rules, standards, processes, or decisions.

Openai is committed to creating a safe and responsible AI ecosystem, and the Product Policy Biosecurity Manager will be instrumental in achieving this goal. By joining Openai, you will be part of a dynamic team that is shaping the future of AI and its applications in the life sciences.

What You Will Do

• Provide biosecurity and life sciences policy advice to technical and product teams based on an understanding of model capabilities, biological R&D workflows, abuse pathways, and the practical needs of legitimate scientific users.
• Evaluate bio-relevant product launches and model capabilities, including how they may support beneficial biological research, public health, clinical education, drug discovery, biosecurity, and other life sciences use cases.
• Translate biological misuse risk into clear product requirements, launch guidance, enforcement standards, user-facing policy, internal implementation guidance, and reviewer SOPs.
• Help define scalable policy frameworks for dual-use biological capabilities, including where to draw boundaries between broadly beneficial biological assistance, higher-risk dual-use support, and activity that should be restricted or disallowed.
• Develop operationalizable standards, enforcement protocols, and escalation paths for bio misuse scenarios, including suspicious high-risk dual-use trajectories, account- or organization-level misuse patterns, and ambiguous cases requiring expert judgment.
• Partner with various teams to make principled, timely decisions about biological risk in high-ambiguity situations.
• Help design and refine trusted access frameworks for higher-capability biological systems, including actor vetting and oversight.
• Collaborate with the research team to stay up-to-date with the latest developments in AI and biosecurity.
• Develop and maintain relationships with key stakeholders, including researchers, clinicians, and public health practitioners.

What We Are Looking For

• Strong background in biosecurity, biosafety, synthetic biology, molecular biology, computational biology, bioinformatics, public health, biodefense, or biological risk management.
• Experience in turning complex technical or scientific risk into durable rules, standards, processes, or decisions.
• Excellent communication skills, with the ability to reason across adjacent areas and communicate technical risk to diverse stakeholders.
• Ability to work in a fast-paced environment with multiple priorities and deadlines.
• Strong analytical skills, with the ability to evaluate complex data and make informed decisions.
• Experience working with cross-functional teams, including product, engineering, research, safety, security, and legal.
• Strong understanding of the life sciences community and the potential applications of AI in this field.
• Ability to think critically and creatively, with a strong problem-solving mindset.

Nice to Have

• Experience working in a regulatory or compliance role, preferably in the life sciences or AI industry.
• Knowledge of AI and machine learning technologies, including their potential applications and risks.
• Familiarity with biosecurity policies and frameworks, including those related to dual-use research and biosafety.
• Experience working with international stakeholders, including researchers, clinicians, and public health practitioners.
• Strong understanding of the ethical implications of AI and its applications in the life sciences.

Benefits and Perks

• Competitive salary and benefits package, including health insurance, retirement plan, and paid time off.
• Opportunity to work with a dynamic and innovative company that is shaping the future of AI.
• Collaborative and supportive work environment, with a strong focus on teamwork and communication.
• Flexible work arrangements, including remote work options and flexible hours.
• Professional development opportunities, including training and education programs.
• Access to cutting-edge technologies and tools, including AI and machine learning platforms.
• Chance to work on high-impact projects that have the potential to improve people's lives.

• To stand out in the application process, highlight your experience in biosecurity, biosafety, or synthetic biology, and demonstrate your ability to communicate technical risk to diverse stakeholders.
• Be prepared to provide specific examples of how you have turned complex technical or scientific risk into durable rules, standards, processes, or decisions.
• Show a strong understanding of the life sciences community and the potential applications of AI in this field, including the potential risks and benefits.
• Emphasize your ability to work in a fast-paced environment with multiple priorities and deadlines, and demonstrate your problem-solving skills.
• Don't be afraid to ask questions during the interview process, and be prepared to discuss your experience and qualifications in detail.
• Consider creating a portfolio of your work, including any relevant projects or publications, to demonstrate your skills and expertise.