Skip to content

Search jobs inside your AI agent. ClaudeChatGPTCursorGrok Bot

Connect

Thinking Machines Lab

Product Manager Deployment

Posted Updated
Discussion

Description

You will own the deployment strategy, roadmap, and success metrics for models and fine-tuned checkpoints in production. You will define serving workflows, work on reliability and performance tradeoffs, gather user feedback, drive launches and incident learning, and shape deployment SLAs and hosted-inference inputs.

Responsibilities

  • Own deployment strategy, roadmap, and success metrics
  • Define deployment workflows for model serving, autoscaling, versioning, rollback, monitoring, and incident response
  • Work on serving architecture, latency, cost, reliability, capacity planning, and API and SDK deployment surfaces
  • Build feedback loops with production users
  • Drive technical scoping, dependency resolution, launch readiness, escalation design, and post-incident learning
  • Connect deployment decisions to model and infrastructure roadmaps
  • Shape SLAs, hosted-inference pricing and packaging inputs, and the deployment operating model
  • Review serving configurations, latency data, incident retrospectives, and rollout plans

Requirements

  • Production ML serving
  • Infrastructure product management
  • Deployment
  • Reliability
  • Scalability
  • Performance
  • Latency
  • Throughput
  • Autoscaling
  • Rollback
  • Incident response
  • Model serving
  • GPU scheduling
  • Batching
  • Quantization
  • Capacity planning
  • API
  • SDK
  • SLA

Benefits

  • Health benefits
  • Dental benefits
  • Vision benefits
  • Unlimited PTO
  • Paid parental leave
  • Relocation support
  • Visa sponsorship

Skills

Apply

See also

Product jobs by country — openings, pay and top skills →