Thinking Machines Lab
Product Manager - Post Training
San Francisco
H1B sponsorship available$350k-$400kDetected 43 days ago
Machine LearningLogisticsResearchLeadership
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odds of building a lasting career here
59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
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Files H-1B transfers
16 transfer filings in the last year, covering 16 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- This is a product role for someone who can operate inside frontier research without trying to turn research into a conventional software roadmap.
- Your role is to understand the work deeply enough to ask the right questions, identify missing connections, surface implications, and help the team decide what matters next.
- The role sits at the seam between research, model behavior, data and environments, evaluations, training and inference infrastructure, safety, product, and the people using our models.
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
- Build lightweight operating mechanisms for critical work - owners, state, dependencies, decisions, risks, release criteria, and follow-through - without imposing a software-development process on research
- Connect research, product, infrastructure, safety, and leadership when a decision spans teams or when local optimization creates a broader product or model tradeoff
- Support the path from research result to usable capability: internal adoption, evaluation, documentation, release readiness, product integration, and feedback after launch
- 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
- We believe the future worth building is human, and we're hiring people who want to build it.
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 for you
- 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
Nice to have
- Ability to represent user and product truth in a research environment without reducing research to a list of customer requests
- Clear communicator who handles disagreement without ego and is willing to change a recommendation when the 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
- Visa sponsorship: We sponsor visas.
Compensation
- Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $400,000 USD.
Benefits
- Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.
Company info
- 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.
Visa & Work Authorization
- 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.
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This listing is sourced directly from Thinking Machines Lab's careers page and normalized into a canonical job model.