Thinking Machines Lab
Product Manager - Deployment
San Francisco
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About the role
- This is not a mature MLOps role at an established platform.
- You will work from infrastructure capability through to a deployment experience that is fast, predictable, and trustworthy.
- Deployment at Thinking Machines is still being defined:
Responsibilities
- Own deployment strategy, roadmap, and success metrics for taking models and Tinker-trained checkpoints into production, in close partnership with infrastructure, research, engineering, and GTM
- Build direct feedback loops with users deploying models in production, and turn scattered signals into a clear view of what's broken, what's missing, and what to prioritize next
Nice to have
- Background as an engineer or technical founder before moving into product leadership
- Experience with ML inference infrastructure specifically (model serving frameworks, GPU scheduling, batching, quantization tradeoffs, or similar)
- Experience operating in a startup, lab, or new product area where the deployment model and roadmap weren't handed to you
- Comfortable moving between a strategic narrative and a specific technical detail (an autoscaling policy, an SLA definition, a rollout gate) without losing judgment
- Visa sponsorship: 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.
Skills
- Experience taking a technical product from early usage through to reliable, scaled production use
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.
- Drive ambiguous workstreams end to end: technical scoping, dependency resolution, launch readiness, on-call/escalation design, and post-incident learning
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.
This listing is sourced directly from Thinking Machines Lab's careers page and normalized into a canonical job model.