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Thinking Machines Lab Posted 30+ days ago

Product Manager - Post Training

Location

San Francisco

On-site

Contract

Permanent

Full-time

Salary

$350–400k

Gross per year

Experience

Not specified

Job summary

Responsibilities

This is a product role for someone who can operate inside frontier research without trying to turn research into a conventional software roadmap. The work requires judgment, technical fluency, user empathy, discretion, and the ability to create clarity without creating bureaucracy.

  • 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…
  • Translate ambiguous research and product questions into concrete learning plans: what must be true, what evidence would change the decision, which experiments or user signals…
  • Build lightweight operating mechanisms for critical work — owners, state, dependencies, decisions, risks, release criteria, and follow-through — without imposing a…
  • Bring qualitative and quantitative evidence about model behavior and real workflows into research prioritization, ensuring user knowledge is represented accurately rather than…

What they're looking for

  • 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 for…
  • 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 your expertise
  • Strong track record identifying the missing connection, unresolved assumption, or cross-team decision that specialists may not see while deep in the work
  • Ability to represent user and product truth in a research environment without reducing research to a list of customer requests

Read the full job posting

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