Product Policy, Biosecurity Policy Manager

OpenAI OpenAI · AI Frontier · San Francisco, CA · Product Policy

This role focuses on developing and implementing policies for the safe use of AI in the life sciences and biosecurity domains. It involves understanding both the legitimate applications of AI in biology and the potential for misuse, and translating this understanding into practical product policies, access criteria, and enforcement guidance. The role requires collaboration with various internal teams (product, engineering, research, safety, legal) and external stakeholders to manage biological risks associated with AI capabilities.

What you'd actually do

  1. 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.
  2. 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, as well as how they could be misused by malicious or irresponsible actors.
  3. Translate biological misuse risk into clear product requirements, launch guidance, enforcement standards, user-facing policy, internal implementation guidance, and reviewer SOPs.
  4. 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.
  5. 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.

Skills

Required

  • Deep biological, biosecurity, and policy judgment
  • Understanding of AI capabilities
  • Understanding of biological R&D workflows
  • Understanding of abuse pathways
  • Understanding of practical needs of legitimate scientific users
  • Strong technical fluency in one or more biological or biosecurity domains (e.g., synthetic biology, molecular biology, genomics, bioinformatics, protein engineering, lab automation, pathogen surveillance, sequence screening, institutional biosafety, biological threat assessment, or life sciences research governance)
  • Understanding of the modern biological risk landscape
  • Experience turning complex technical or scientific risk into durable rules, standards, processes, or decisions
  • Very strong communication skills
  • 7+ years of experience, or equivalent depth, in one or more of the following areas: biosecurity, biosafety, life sciences R&D, synthetic biology, molecular biology, computational biology, public health, biodefense, or biological risk management, as well as product policy, trust and safety, abuse investigations, or a closely related field.

Nice to have

  • Experience with AI policy development
  • Experience with product launches
  • Experience with enforcement standards
  • Experience with user-facing policy
  • Experience with internal implementation guidance
  • Experience with reviewer SOPs
  • Experience with scalable policy frameworks
  • Experience with operationalizable standards
  • Experience with escalation paths
  • Experience with trusted access frameworks
  • Experience with actor vetting
  • Experience with institutional legitimacy
  • Experience with governance expectations
  • Experience with deployment suitability
  • Experience with access scoping
  • Experience with re-verification
  • Experience with escalation obligations
  • Experience with threat models
  • Experience with misuse trajectories
  • Experience with taxonomy updates
  • Experience with account-level review workflows
  • Experience with measurement approaches
  • Experience with production signals
  • Experience with evals
  • Experience with red-team findings
  • Experience with user feedback
  • Experience with operational data
  • Experience engaging with life sciences organizations, biosecurity experts, public health institutions, and other external stakeholders

What the JD emphasized

  • biosecurity
  • biosafety
  • biological risk
  • misuse
  • dual-use biological capabilities