Research Product Manager
Thinking Machines Lab · San Francisco
Frontier labonsite$350k–$400k
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.
- visa sponsorship
- We sponsor visas
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
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