Thinking Machines Lab
Product Policy
San Francisco · Senior
H1B sponsorship available$300k-$360kDetected 28 days ago
LLMsLogisticsResearchCommunication
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odds of building a lasting career here
59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
16 transfer filings in the last year, covering 16 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- Product policy shapes the rules that govern how Thinking Machines' products and models are built, released, and used: usage policies, content and safety policies, model release and access policies, and developer-facing policies for platforms like Tinker.
- Important contact about this role: In this position, you may be exposed to and/or engage with explicit content across a range of topics, including those of a sexual, violent, or psychologically disturbing nature.
- Product policy shapes the rules that govern how
Responsibilities
- Set and drive Thinking Machines' product policy strategy, including usage policies, content and platform policies, and policies governing new model capabilities and releases.
- Build and lead the product policy team, including hiring, structuring the function, and establishing how it partners with Research, Product, Trust & Safety, Communications, Public Policy and Legal.
- Own the frameworks and review processes that assess new product features and model capabilities for policy risk before launch, and drive the mitigations that come out of that review.
- Partner with public policy and research on the company's policy response to novel product and capability questions, including open-weight model release, fine-tuning and customization on platforms like Tinker, agentic capabilities, and enterprise use cases, translating fast-moving product decisions into clear positions and recommendations for leadership.
- Partner with Trust & Safety, Research, and Communications to build user-facing policies, including acceptable use and enforcement frameworks, that are both principled and practical to enforce.
- Develop the internal infrastructure for product policy decision-making, including intake processes, review thresholds, escalation paths, and decision logs, so policy is built into product and research decisions early rather than at the point of launch.
- Experience building and leading a product policy, trust & safety, or content policy function, including hiring and managing a team.
- Strong track record partnering directly with product and engineering teams on policy questions embedded in the development lifecycle, from early design through launch.
- Strong relationship-building and communication skills, with the ability to represent the company credibly with regulators, industry counterparts, and internal stakeholders alike.
Requirements
- 10+ years of experience in product policy, trust & safety, content policy, or a related field, including significant experience assessing product and platform risk.
- Experience in a frontier AI company or on an AI safety or trust & safety team, with familiarity with model release, fine-tuning, or agentic product policy questions.
- Familiarity with the technical fundamentals of frontier AI development sufficient to engage credibly with research and engineering teams.
Nice to have
- we encourage you to apply if you meet some but not all of these:
Compensation
- Depending on background, skills and experience, the expected annual salary range for this position is $300,000-360,000 USD.
Benefits
- Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.
Company info
- The mission of Thinking Machines is to build AI that extends human will and judgment.
Visa & Work Authorization
- 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.
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This listing is sourced directly from Thinking Machines Lab's careers page and normalized into a canonical job model.