The Role

We are looking for a Head of US Policy to make the state of the art in AI verification legible in Washington, while also ensuring verification engineers are building towards policy objectives of governments.

This work is critical and urgent: incidents in frontier AI are rising, and developers want options to prove to one another and to governments that they are mitigating extreme risk. Lucid's tooling seeks to support this.

For example, we are retrofitting a 16-GPU H100 cluster in Sweden to create an adversarial testbed for verification mechanisms to go through repeated cycles of being built and then attacked by an independent red team, with the architecture and all results open sourced. This is the quickest way to close the time needed from design to world class red teaming.

This role sits between our technical team and relevant external parties. Externally, you will give policymakers an accurate picture of what can be verified today, what could be with investment, what cannot, and what each option costs. Internally, you will take the priorities emerging in domestic frontier AI regulation and in proposals for international compute agreements and turn them into specific verifiable claims, so that our researchers know what to build and our red team knows what to attack.

Responsibilities

Define Lucid’s theory of change for frontier AI verification in the US, and where government plays a role in this
Give policymakers, congressional staff, agencies and the wider governance community an accurate picture of AI verification: what is possible now, what is close, what is not, and at what cost
Translate policy proposals into precise verifiable claims, and work with the research and red teams to test whether current mechanisms can meet them
Build and own Lucid's relationships in Washington and beyond, including think tanks, standards bodies and international counterparts. Define the best ways to engage with these stakeholders and deliver on them
Write regularly for the above audiences, including briefings, public comments, testimony and explainers
Track domestic frontier AI regulation and international compute-agreement proposals
Build the policy function as it grows

Requirements

Substantial experience in US AI or technology policy, with a record of changing outcomes rather than tracking them, whether in government, Congress, a think tank or a company's policy function
The ability to represent technical work accurately: either enough depth to read a verification paper or system design yourself, or a demonstrated record of getting there quickly in a new technical domain
Track record of writing that makes technical AI governance accessible for non-experts
Existing relationships across the communities working on frontier AI oversight
Comfort operating with limited precedent, and a preference for building structure rather than inheriting it

Useful, not required

A technical background in security, cryptography, hardware or distributed systems
Experience with verification regimes in other domains, such as arms control or nuclear safeguards
Experience making technical or policy work accessible to a wide audience across press, social media, multimedia and explainers, and a habit of pitching ideas rather than waiting for a brief
Experience in standards bodies or multi-stakeholder governance
Prior experience building a policy or government-affairs team

The first 90 days

A defined theory of change and strategy for US policy. This could involve government, but it could also focus on industry standards. The person in role would be tasked with setting the priorities.
A system for tracking engagement and outcomes with relevant external stakeholders

Practicalities

This role is based in Washington, D.C., or requires substantial time there. Regular travel to San Francisco, London and to policy and industry events should be expected. Compensation is competitive and includes equity.

If you think you would be right for this role but do not meet every requirement, we would still like to hear from you; tell us why.