Product Manager, Inference Experience

ABOUT BASETEN

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.