ABOUT BASETEN

Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.

PRODUCT AT BASETEN

Baseten is building a new cloud for AI. Our ambition is to make inference, training, and agent execution part of one coherent platform, and to shape how the next generation of AI products gets built. Product decisions here reach from the economics of GPU infrastructure to the abstractions developers build on every day.

We’re hiring builders and tastemakers with the ambition to help create that future. You should bring a strong point of view about what should exist, the taste to make complex technology feel simple, and the technical judgment to build it alongside engineers, researchers, and designers. You’ll work directly with customers and forward deployed teams, turn emerging capabilities into new possibilities for developers, and carry an idea from early conviction through to production and adoption.

THE ROLE

Make world-class AI inference feel effortless for developers.

Building with AI models should be easy. Getting them into production, understanding their performance, and scaling them reliably is anything but. At Baseten, we're changing that.

We're looking for a Product Manager to own the experience of building on Baseten, from discovering and evaluating models to deploying, optimizing, and operating them in production.

You'll help shape some of our most important products, including Model APIs, Dedicated Inference, Model Evaluations, and our Model Library. You'll work closely with engineering, research, and GTM to turn breakthroughs in inference performance into products that developers love and businesses depend on.

This is a high-impact role at the intersection of AI infrastructure, developer experience, and product strategy.

RESPONSIBILITIES

Own product strategy and roadmap across Baseten's inference offerings, with a focus on developer adoption and business impact

Make it easier for developers to discover, evaluate, deploy, and manage AI models through our APIs, SDKs, CLI, and console

Work with inference engineers and researchers to turn technical advances into compelling customer-facing capabilities

Help determine which models, workloads, and customer needs we prioritize

Partner with GTM and leadership on pricing, packaging, launches, and commercialization

Spend time with developers and customers to understand what's working, what's frustrating, and what we should build next

REQUIREMENTS

10+ years building and shipping AI/ML products or platforms

A technical background in software engineering, ML engineering, research, or equivalent hands-on experience

Direct experience building or deploying models using technologies like PyTorch, TensorRT-LLM, vLLM, SGLang, NVIDIA Dynamo, or similar frameworks

Strong understanding of model serving, GPU economics, and the tradeoffs between quality, latency, throughput, and cost

Exceptional developer product instincts. You know how to make complex technology approachable without sacrificing power

A track record of leading cross-functional product initiatives and turning technical capabilities into measurable adoption or revenue growth

NICE TO HAVE

Experience deploying models, building infrastructure products, building ML infrastructure, or designing tools used from both a terminal and a console

Past experience as a software developer

WHAT SUCCESS LOOKS LIKE

Developers choose Baseten for a clear, compelling inference experience, from discovering a model to operating it at scale. Model APIs and Dedicated Inference offer clear paths that fit different workloads. Developers can move from a model to a repeatable production workflow with less assistance. Evaluation, artifacts, and releases fit together, and the experience makes customers more confident shipping their next model change. Engineering advances reach customers through successful launches and sustained production use.