- Location
- San Francisco, California, United States
- Employment
- Full time
- Posted
- Last week
About this role
About Thinking Machines
The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication. We believe the future worth building is human, and we're hiring people who want to build it.
About the Role
We're looking for a founding policy leader to build and lead Thinking Machines' global public policy function.
You'll be the company's principal policy strategist and advocate across a wide range of policy issues that shape how Thinking Machines can build and deploy frontier AI responsibly.These could span U.S. federal and state policy, the EU AI Act, international regulatory regimes, export control and national security frameworks. You'll work with leadership to set the company's substantive policy positions, build and lead the team that executes on them, and represent Thinking Machines directly with legislators, regulators, and industry counterparts.
This is a build role that will take ownership of it end-to-end: hiring and developing a team while scaling the company's engagement across every jurisdiction where policy affects its ability to operate.
What You'll Do
Set and drive Thinking Machines' global public policy strategy, from U.S. federal legislation and executive action to EU AI Act implementation and policy developments in other key jurisdictions.
Build and lead the public policy team, including hiring, structuring the function, and establishing how it partners with Research, Product, Safety, Legal, Communications, and the executive team.
Represent Thinking Machines directly with legislators, regulators, and agency staff, and manage relationships with outside counsel, lobbyists, and advocacy partners.
Lead the company's engagement on the issues most material to its business: frontier model legislation, safety and disclosure frameworks, open-weight model policy, and societal impact, translating fast-moving developments into clear positions and recommendations for leadership.
Build and manage coalition relationships with peer labs, industry groups, and trade associations, and represent Thinking Machines in relevant multi-stakeholder forums.
Develop the internal infrastructure for policy decision-making, including state-of-play tracking, position papers, and clear escalation paths, so policy considerations are built into product and research decisions early.
Skills and Qualifications
Minimum qualifications:
10+ years of experience in technology policy, government relations, or a related field with a demonstrated track record of shaping policy outcomes on complex technology policy issues, including significant experience in U.S. federal policy and direct engagement with legislators or regulators.
Experience building and leading a policy or government affairs function, including hiring and managing a team.
Working knowledge of the US state, federal, and international regulatory landscape for AI, including the EU AI Act, and experience engaging on policy issues across multiple jurisdictions.
Excellent judgment translating complex, fast-moving regulatory developments into clear, actionable recommendations for executive leadership.
Strong relationship-building and communication skills, with the ability to represent the company credibly with government officials, industry counterparts, and internal stakeholders alike.
Preferred qualifications - we encourage you to apply if you meet some but not all of these:
Experience in a frontier AI company, national security, or export control policy context, with familiarity with issues like deemed exports, compute governance, or model release policy.
Prior government, Hill, or agency experience (e.g., Congress, Commerce/BIS, OSTP, or similar).
Experience building coalitions with peer companies and trade associations on emerging technology policy issues.
Familiarity with the technical fundamentals of frontier AI development (training, fine-tuning, model release processes) sufficient to engage credibly with research and engineering teams.
Logistics
Location: This role is based in Washington, D.C. with regular travel to San Francisco, CA and other jurisdictions as needed.
Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $300,000-360,000 USD.
Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.
Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.
As published by Thinking Machines Lab. Applications are handled on their site.
Skills this posting mentions
About Thinking Machines Lab
Thinking Machines Lab is an artificial intelligence research and product company. We’re building a future where everyone has access to the knowledge and tools to make AI work for their unique needs and goals.
All 49 openings at Thinking Machines LabOne click, then it is written
Apply to Thinking Machines Lab with a resume written for this role.
Queue Global Public Policy and I read the posting, rewrite your resume against it, draft the cover letter, and score the fit. Then you press send, or press one button and I fill in Thinking Machines Lab’s form for you.
01Drop your resume
A PDF or a LinkedIn URL. About a minute, once.
02I rank the openings
Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.
03Each one is written up
Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.
- 25 sent a week, free
- No card
- Nothing sent until you say so
More roles at Thinking Machines Lab
See all- Today
- Today
- 4 days ago
- 5 days ago
- Last week
- Last week
Put this to work
Paste your career in once. Every application after that is written for you.
Drop a resume or a LinkedIn URL. I rank the live openings against it, rewrite the resume and write a cover letter for the best of them, and fill in the employer's form when you press the button. You read, you decide what goes out.
01Drop your resume
A PDF or a LinkedIn URL. About a minute, once.
02I rank the openings
Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.
03Each one is written up
Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.
- New matches ranked and written before you are up.
- Every bullet stays inside what your history supports. Nothing invented.
- Queued, submitted, interviewing, offer: one screen, not a spreadsheet.
500 free credits on sign-up. No card. Nothing is sent until you say so.
Listed from the job board Thinking Machines Lab publishes. Refolk is not the employer and does not handle their hiring. Applications go to Thinking Machines Lab directly.