Thinking Machines Lab
Product Manager - Deployment
$350K–$400K
San Francisco · On-site · Manager · Full-time · Posted Aug 4, 2026
- Visa sponsorship
- Visa sponsorship is offered; success is not guaranteed for every candidate or role.
About the job
Owns the strategy and product experience for deploying models and fine-tuned checkpoints into reliable, scalable production use.
What you'll do
- Set deployment strategy, roadmap, and success metrics in partnership with infrastructure, research, engineering, and GTM.
- Define deployment workflows for serving, autoscaling, versioning, rollback, monitoring, and incident response.
- Guide serving architecture and operational decisions, including latency, cost, reliability, capacity, launch readiness, and user feedback.
What they ask for
- Experience owning a production ML serving, infrastructure, or deployment product, with direct involvement in reliability, scaling, or performance decisions.
- Track record working at engineering depth with production systems, including specifics such as latency, throughput, autoscaling, rollback, or incident response.
- Experience taking a technical product from early usage through reliable, scaled production use.
Nice to have
- Background as an engineer or technical founder before moving into product leadership.
- Experience with ML inference infrastructure, such as model serving frameworks, GPU scheduling, batching, or quantization tradeoffs.
Pay
$350,000 - $400,000 USD (annual base salary)
Tools
Tinker
AI focus
Enable production deployment of models and Tinker-trained checkpoints, including inference serving and deployment workflows.
Model-written summary · the original posting is authoritative