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Research Product Manager

Thinking Machines Lab · San Francisco

Frontier labonsite$350k–$400k
Apply on the lab’s site ↗

At a glance

Highlights

  • Shape frontier model capabilities from mid-training to real-world usefulness.
  • Turn open research questions into focused priorities and clear decisions.
  • Connect evaluations to generalizable gains that survive downstream training.

What they offer

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

Ideal candidate

A deeply technical product thinker who thrives in ambiguous research, pairing experimental rigor with clear judgment to turn frontier model advances into useful capabilities.

Requirements

  • Experience driving technically demanding products or research initiatives in an AI lab, research organization, technical startup, or similarly ambiguous environment.
  • Experience working closely with model training, training data, evaluations, customization, or ML infrastructure, with enough technical depth to engage substantively with researchers and engineers.
  • Strong judgment about experimental evidence: the ability to clarify assumptions, question whether a metric captures the intended outcome, and help teams decide what a result should change.
  • A track record of turning open-ended problems into focused work across teams, including identifying missing connections and taking ownership where responsibilities are unclear.
  • Clear written and verbal communication, intellectual honesty, and the ability to earn trust through curiosity, sound reasoning, and follow-through.
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Lab profile

About Thinking Machines Lab

Builds frontier AI that extends human will and judgment through customizable models and interfaces.

What they build

  • Inkling frontier models
  • Tinker model customization
  • Human-AI communication interfaces

Known for

  • Frontier model training
  • Post-training and reinforcement learning
  • Evaluation infrastructure
  • GPU supercomputing and reliability
More about Thinking Machines Lab →
Apply on the lab’s site ↗

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