Product Policy at Thinking Machines Lab | CA, US | Rezi

Product Policy at Thinking Machines Lab

Product Policy

Thinking Machines Lab · CA, US

4 days ago

Product Policy

Thinking Machines Lab · CA, US

5 days ago
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About the Role

We are seeking an experienced policy leader to establish and direct Thinking Machines' product policy function. This role will define the rules governing the development, release, and utilization of our AI products and models, including usage, content, safety, and developer-facing policies. You will set policy positions, create operational frameworks, and collaborate with various teams to integrate policy into product decisions from inception.

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 its partnerships with Research, Product, Trust & Safety, Communications, Public Policy, and Legal.
  • Own the frameworks and review processes for assessing new product features and model capabilities for policy risk prior to launch, and drive necessary mitigations.
  • Partner with public policy and research on the company's policy response to novel product and capability questions, translating product decisions into clear leadership recommendations.
  • Partner with Trust & Safety, Research, and Communications to build principled and practical user-facing policies and enforcement frameworks.
  • Develop internal infrastructure for product policy decision-making, including intake processes, review thresholds, escalation paths, and decision logs, ensuring early integration into product and research decisions.

Requirements

  • 10+ years of experience in product policy, trust & safety, content policy, or a related field, with significant experience assessing product and platform risk.
  • Experience building and leading a product policy, trust & safety, or content policy function, including hiring and managing a team.
  • Strong track record of partnering directly with product and engineering teams on policy questions embedded in the development lifecycle.
  • Excellent judgment for translating complex product and policy questions into clear, actionable recommendations for executive leadership.
  • Strong relationship-building and communication skills, with the ability to represent the company credibly with regulators, industry counterparts, and internal stakeholders.
  • 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.
  • Experience building policy or risk review frameworks for novel technology, such as ranking and recommendation systems, generative AI, or other emergent product surfaces.
  • Familiarity with the technical fundamentals of frontier AI development sufficient to engage credibly with research and engineering teams.
  • Background in law, trust & safety, or content policy, with experience navigating regulatory frameworks relevant to product policy.

Skills

  • Product policy
  • Trust & Safety
  • Content policy
  • Product risk assessment
  • Team leadership
  • Cross-functional collaboration
  • Policy strategy
  • AI safety
  • Model release policy
  • Fine-tuning policy
  • Agentic product policy
  • Risk review frameworks
  • Generative AI
  • Frontier AI development
  • Regulatory frameworks
  • Online safety regulation
  • Child safety
  • Platform governance

Location

  • San Francisco, California

Work Type

  • Full-time

Experience Level

  • 10+ years

Salary/Compensations

  • $300,000-360,000 USD

Benefits

  • Generous health, dental, and vision benefits
  • Unlimited PTO
  • Paid parental leave
  • Relocation support

About the Company

  • 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.