OpenAI is hiring a Head of Preparedness in San Francisco, with compensation listed at $555,000 plus equity, to run its severe-harm risk program as frontier models become increasingly capable.
📌 Key Takeaways
- The role leads OpenAI’s Preparedness Framework and the safety pipeline behind launch decisions.
- Compensation is listed as $555K + offers equity for the San Francisco position.
- Preparedness focuses on bio/chemical, cybersecurity, and AI self-improvement capability risks.
- A cross-functional internal group reviews safeguards before deployment decisions are finalized.
A Half-Million-Dollar Safety Role With Direct Launch Influence
OpenAI positions the job inside its Safety Systems org, the group responsible for evaluations, safeguards, and safety frameworks meant to keep its most capable models deployable in the real world.
In the posting, OpenAI makes clear this leader owns the end-to-end pipeline, from measuring new frontier capabilities to making sure mitigations are strong enough to support real product launches.
“The Head of Preparedness will expand, strengthen, and guide this program so our safety standards scale with the capabilities of the systems we develop.” — OpenAI, Head of Preparedness Job Posting
What Preparedness Tracks, And Why “Severe Harm” Is The Bar
OpenAI describes Preparedness as a framework for tracking frontier capabilities that could create new risks of severe harm, then requiring safeguards before those capabilities ship. In its April 2025 update, it narrows “Tracked Categories” to areas where it says it has more mature evaluations and ongoing safeguards.
It also adds “Research Categories” for emerging threats where it expects to build stronger threat models and evaluations over time, without treating them as fully tracked yet.
- Tracked Categories: Biological and Chemical, Cybersecurity, AI Self-improvement
- Research Categories: Long-range Autonomy, Sandbagging, Autonomous Replication and Adaptation, Undermining Safeguards, Nuclear and Radiological
“Covered systems that reach High capability must have safeguards that sufficiently minimize the associated risk of severe harm before they are deployed.” — OpenAI, Updated Preparedness Framework Post
How The Preparedness Safety Pipeline Works
OpenAI frames Preparedness as an operational loop: evaluate capability, map threats, then implement safeguards that are measurable and strong enough to support deployment decisions, even as model iteration speeds up.
Here’s the clearest step-by-step flow implied by the framework update and the job description, written in a practical, editorial format for readers who want the process, not the theory.
- Run capability evaluations to detect whether a model is approaching a risk threshold
- Build threat models that explain realistic misuse paths and failure modes
- Design mitigations and safeguards tied directly to those threats
- Produce capability and safeguards documentation that can be reviewed consistently
- Route reviews through cross-functional safety leadership before deployment decisions
- Keep monitoring and update safeguards as new evidence or risks emerge
Why OpenAI Is Scaling Preparedness Now
Back in 2023, OpenAI said it was standing up a dedicated Preparedness team and building a governance approach for catastrophic risks, explicitly calling out categories like cybersecurity, persuasion, chemical and biological threats, and autonomy-related risks.
The newer framework update adds another pressure point: it expects faster, more frequent model improvements, which means safeguards and evaluations need to scale with that cadence, not lag behind it.
Conclusion
This job posting is a blunt signal that OpenAI expects frontier capability risks to keep moving faster, and it wants a single accountable leader to keep its Preparedness work operational, measurable, and tightly connected to launches.
If OpenAI’s framework works as written, the Head of Preparedness becomes a key hinge between research progress and what can responsibly ship, especially across cyber, bio, and self-improvement risk areas.
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29th December 2025
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