# Product Manager - Deployment at Thinking Machines

- Company: Thinking Machines
- What the company does: Connectionism: Research Blog by Thinking Machines Lab. Backed by a16z, Accel and GV.
- Company website: https://thinkingmachines.ai/
- Type: Startups (AI role)
- Level: Senior
- Location: San Francisco
- Work setup: Remote
- Pay: $350K to $400K base salary per year (USD)
- Posted: 2026-08-04
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/thinkingmachines/079f3334-43ae-4ee7-9671-1dbad75dd8df
- Page: https://www.1752.vc/careers/jobs/thinking-machines-product-manager-deployment/

## About the role

As Product Manager for Deployment, you will own how Thinking Machines' models and fine-tuned checkpoints go from training into production use. You will shape the path from a trained model to a served, reliable, cost-effective endpoint — covering inference infrastructure, serving APIs, latency and throughput tradeoffs, scaling behavior, observability, and the workflows researchers and external users rely on to deploy their work with confidence.

## What they're looking 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 — comfortable discussing latency, throughput, autoscaling, rollback, or incident response in specifics
- Experience taking a technical product from early usage through to reliable, scaled production use
- 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

Tags: Product Management