Product Manager

Baseten powers mission-critical inference for the world's most dynamic AI companies, including Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. The company unites applied AI research, flexible infrastructure, and seamless developer tooling to help companies bring cutting-edge models into production. Baseten recently raised a $1.5B Series F led by Altimeter Capital, Conviction Partners, and Spark Capital.

Product at Baseten is a nascent function. As a Product Manager, you will work directly with founders and systems/AI engineers to define the product function. You will own the surface that makes production inference fast, reliable, and economical at scale: how deployments autoscale, how traffic is routed, how the system fails over, and how workloads scale across clusters and regions. You will own these as products end to end, from backend behavior to customer-facing configuration and observability, and set the roadmap for infrastructure and product teams.

• Own how workloads scale and where they land, from autoscaling to demand (up under load, down to zero when idle) to a single placement policy that expresses region, compliance regime, and capacity preference.
• Make production inference reliable by default, ensuring every request reaches a healthy replica and rolling deploys never drop traffic.
• Define region-aware routing with multi-region and active-active failover as first-class policy, plus health-aware recovery from stuck or bad replicas.
• Build the release engine beneath safe rollouts: traffic-shifting for canary, shadow, and A/B, along with warm-ups, drain, and probes.
• Push the cost and performance frontier for serving AI at scale across latency, throughput, uptime, and cost efficiency.
• Drive a measurable decline in MTTR through self-serve incident management.
• Set the roadmap that infrastructure and product teams build toward, and own each capability end to end.

• 8+ years in product management, including deep experience with infrastructure, distributed systems, or ML serving.
• Fluency reasoning about scaling, routing, failover, and the cost/performance frontier, at a level that earns the respect of staff engineers.
• Experience owning capabilities end to end, backend through UX, rather than a single slice.
• Track record driving cross-team roadmaps and the dependencies beneath them.
• Comfort defining a category that doesn't fully exist yet.

• Hands-on experience with GPU infrastructure.
• Experience with Kubernetes.
• Experience with serving frameworks like vLLM, TensorRT-LLM, or SGLang.

Compensation: $235K – $335K salary plus equity (U.S. only). Benefits include 100% coverage of medical, dental, and vision insurance for employee and dependents, flexible PTO including company-wide Winter Break, paid parental leave, fertility and family-building stipend through Carrot (U.S. only), and company-facilitated 401(k).