Product Manager - Post Training at Thinking Machines Lab | CA, US | Rezi

Product Manager - Post Training at Thinking Machines Lab

Product Manager - Post Training

Thinking Machines Lab · CA, US

2 weeks ago

Product Manager - Post Training

Thinking Machines Lab · CA, US

20 days ago
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About the Role

This product role requires operating within frontier research, understanding deep technical work, and identifying critical next steps without creating bureaucracy. The Post-Training Product Manager will partner with researchers to understand their work, ask insightful questions, identify connections, and help guide decisions on priorities and direction. The role bridges research, model behavior, data, evaluations, infrastructure, safety, product, and user needs.

Responsibilities

  • Partner with post-training research leaders on priorities, sequencing, decision points, and the connection between research work and the broader model and product agenda.
  • Maintain a clear view across SFT, RL, data and environments, evaluations, safety, model behavior, inference, training infrastructure, and product dependencies; identify gaps before they become blockers.
  • Translate ambiguous research and product questions into concrete learning plans.
  • Build lightweight operating mechanisms for critical work without imposing a software-development process on research.
  • Bring qualitative and quantitative evidence about model behavior and real workflows into research prioritization.
  • Connect research, product, infrastructure, safety, and leadership when a decision spans teams or creates tradeoffs.
  • Support the path from research result to usable capability, including internal adoption, evaluation, documentation, release readiness, product integration, and feedback.
  • Write clear narratives explaining team learnings, uncertainties, decisions needed, and the work's importance.
  • Take on unowned work necessary to advance critical research-product outcomes.

Requirements

  • Experience as an early or first product leader in a technical startup, AI lab, research organization, or new product area where the role and operating model were not defined.
  • Experience working closely with model training, post-training, RL, evaluations, data, safety, inference, developer platforms, or another technically demanding research-product area.
  • Ability to understand research deeply enough to earn trust, ask sharp questions, and connect technical choices to model behavior and users without overstating expertise.
  • Strong track record identifying missing connections, unresolved assumptions, or cross-team decisions that specialists may overlook.
  • Ability to represent user and product truth in a research environment without reducing research to a list of customer requests.
  • Comfortable making progress when the goal, metric, or path is still evolving.
  • Clear communicator who handles disagreement without ego and is willing to change recommendations when evidence changes.
  • Motivated by senior IC ownership and proximity to the work more than a large PM team or a conventional product ladder.
  • Background as a research product leader or early AI product leader at a frontier lab, model company, or technically ambitious startup; a technical founder, former engineer, or applied scientist who moved into product; a PM for model training, post-training, evaluation platforms, data systems, ML infrastructure, or developer platforms; or the first PM at a company that turned a novel technical capability into a product, category, or developer ecosystem.

Skills

  • Technical fluency
  • User empathy
  • Discretion
  • Ability to create clarity
  • Qualitative evidence
  • Quantitative evidence
  • Communication

Location

  • San Francisco, CA

Work Type

  • Onsite

Experience Level

  • Senior IC ownership

Salary/Compensations

  • $350,000 - $450,000 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.

Equal Opportunity

  • 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.