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Thinking Machines Lab

Product Manager Post Training

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Description

You will partner with post-training research leaders to prioritize work, sequence decisions, and connect research to model and product goals. You will track dependencies across training, data, evaluations, safety, infrastructure, and product work; create learning plans; bring user evidence into prioritization; support releases; and communicate decisions and open questions clearly.

Responsibilities

  • Partner with post-training research leaders on priorities, sequencing, and decision points
  • Maintain visibility across training, data, evaluations, safety, infrastructure, and product dependencies
  • Translate ambiguous questions into learning plans and evidence-based decisions
  • Build lightweight mechanisms for owners, dependencies, risks, release criteria, and follow-through
  • Bring model-behavior and workflow evidence into research prioritization
  • Connect research, product, infrastructure, safety, and leadership on cross-team decisions
  • Support research results through adoption, evaluation, documentation, release readiness, integration, and post-launch feedback
  • Write clear narratives about learning, uncertainty, and decisions
  • Take ownership of unowned work needed to advance critical outcomes

Requirements

  • Experience as an early or first product leader in a technical startup, AI lab, research organization, or new product area
  • Experience working with model training, post-training, reinforcement learning, evaluations, data, safety, inference, developer platforms, or another demanding research-product area
  • Ability to understand research deeply, ask sharp questions, and connect technical choices to model behavior and users
  • Strong track record of identifying missing connections, unresolved assumptions, or cross-team decisions

Benefits

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

Skills

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See also

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