# Product Policy Biosecurity Policy Manager

**Company**: OpenAI
**Location**: San Francisco
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: Full time
**Salary**: $261K – $290K
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q124605186

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**Canonical**: https://yubhub.co/jobs/job_3f8f37da-ca1

## Description

As a Product Policy Manager specializing in Biosecurity, you will combine deep biological, biosecurity, and policy judgment to guide how OpenAI evaluates, launches, and governs capabilities relevant to biology and the life sciences. You will work closely with product, engineering, research, safety, security, legal, operations, global affairs, and go-to-market teams to translate complex biological risk into practical product policy, implementation standards, access criteria, enforcement guidance, and launch decisions.

The role requires understanding both sides of the bio equation: how legitimate researchers, clinicians, public health practitioners, and life sciences organizations use AI to advance beneficial work, and how malicious or irresponsible actors may attempt to misuse AI systems to lower barriers to harmful biological activity. Strong candidates may bring depth in one or more relevant domains, such as biosecurity, biosafety, synthetic biology, molecular biology, computational biology, public health, biodefense, biological risk management, sequence screening, lab automation, institutional research governance, or life sciences R&D , along with the ability to reason across adjacent areas.

You do not need to have held a formal policy title, but you should have experience turning complex technical or scientific risk into durable rules, standards, processes, or decisions, and very strong communication skills.

As OpenAI continues to grow its capabilities in biology and the life sciences, this role will help align diverse teams and stakeholders while operating in a fast-moving, ambiguous environment.

In this role, you will:

- 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, as well as how they could be misused by malicious or irresponsible actors.

- 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 Preparedness, Safety Systems, Integrity, User Operations, I2, research, legal, communications, global affairs, and product 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, institutional legitimacy, governance expectations, deployment suitability, access scoping, re-verification, and escalation obligations.

- Support the development of threat models, misuse trajectories, taxonomy updates, account-level review workflows, and measurement approaches that distinguish legitimate scientific activity from concerning misuse over time.

- Use production signals, evals, red-team findings, user feedback, and operational data to improve policy quality, measure safeguard effectiveness, and identify emerging risks.

- Help OpenAI engage credibly with life sciences organizations, biosecurity experts, public health institutions, and other external stakeholders on best practices for safe AI adoption in biology.

- Develop a partnership-informed biosecurity approach by working with external experts, public health institutions, life sciences organizations, and other trusted partners to identify emerging risks, strengthen safe adoption practices, and support broader societal resilience against biological misuse.

## Skills

### Required
- biosecurity
- biosafety
- synthetic biology
- molecular biology
- computational biology
- public health
- biodefense
- biological risk management
- sequence screening
- lab automation
- institutional research governance
- life sciences R&D

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