ML Inference Infrastructure · San Francisco
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 $300M Series E, 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 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.
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.
You’ll own the end-to-end journey from first sign-up to a running, maintained production deployment and reducing the time it takes to get there.
CLI and SDKs as 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.
First-run experience — onboarding, model discovery and deploy via the Model Library, and a first deploy where errors surface and builds show progress.
Deployment lifecycle and safe releases — 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.
Multi-model composition (Chains) and evolving the DevEx for developers building multi-modal agents and applications
Voice of the Developer — you live in customer conversations and turn deploy-and-operate friction into roadmap.
You’ve built dev tools as an engineer before you became a PM. You've shipped SDKs, CLIs, APIs, or platform surfaces with your own hands.
You take great pride in dev tooling and dev products that you’ve shipped with proof
5+ years building developer-facing or technical products - as a product manager, or as a product-minded engineer.
Genuine taste for developer experience across both local (CLI) and UI - you've made something complex feel simple, and can point to where.
Strong opinions on CLI, API first and agent-first design - you treat the coding agent as a first-class user, not a feature.
Technical enough to earn engineers' trust and reason about what's under the hood — because you've been under it.
A rigorous researcher who lets customer reality drive the call and a relentless shipper.
Bonus: experience with ML infrastructure, developer tools, or API products, you've deployed and served models yourself.
You don't like getting technical.
You prefer only strategy, UX, or writing great docs over doing whatever it takes to ship great products for customers.
You want a mature design system and established patterns to work within, rather than defining them from scratch.
You’re not obsessed with improving your Product craft with AI
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).