About the role
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 , backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products. Product at Baseten Product at Baseten is a nascent function. Our company today has a strong engineering culture, is heavily customer-obsessed, and moves fast. We're building the product function now, and you'd be one of the first people who will help define it. You'll work directly with our founders and with some of the best systems and infrastructure engineers in the world, and you'll set the standard for building building great AI Infrastructure. PMs at Baseten don't sit above engineers - you earn ownership by being technical, finding the truth in front of customers, building great cross-functional relationships, and shipping great product experiences.
The role Getting a model into production still takes real expertise — choosing a serving engine, sizing hardware, tuning it, wiring it into an app. We want a developer to go from "it runs on my laptop" to "it's serving production traffic" in minutes, on their own. You'll own the entire experience a developer touches to deploy and iterate: the CLI and SDKs, the console, onboarding, model discovery, deployment configuration, truss, and the increasingly agent-driven ways developers build. Your job is to make Baseten synonymous with Great DevEx and make it effortless to drive and self-serve deploy models on Baseten for far more developers than it is today. Impact and outcomes you'll drive You will collapse time-to-production — take a developer from first sign-up to a running, maintained production deployment, and drive down the time it takes to get there. You will make the CLI and SDKs the primary way developers and their AI agents build on Baseten — and the authoring surfaces (CLI, console, truss, config.yml / model.py / chains.py ) converged into one coherent path. You will make a developer's first run effortless — onboarding, model discovery and deploy via the Model Library, and a first deploy where errors surface and builds show progress. You will own the deployment lifecycle that lets teams ship safely — environment promotion (dev → staging → prod), version history and an artifact/model registry, reproducible deployments, and the progressive-delivery controls developers set and read: canary, shadow, A/B, scheduled promotion, and one-gesture rollback. You will define how developers compose multi-model apps — Chains and the DevEx for developers building multi-modal agents and applications. You will grow self-serve deployment across FDEs and customers — you live in customer conversations and turn deploy-and-operate friction into roadmap, so work that needs an FDE today becomes something a developer does alone.