Baseten

AI

EngineeringManager,ModelLibrary

$165–330k San Francisco, California, United States; New York City, New York, United States; Salt Lake City, Utah, United States; Dublin, Ireland FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Engineering Manager, Model Library at Baseten. Skills: Engineering Management, Product Management, AI/ML Domain. Lead and grow a team of engineers, including hiring, mentorship, and career development. Own the Model Library product area end-to-end — from discovery and evaluation experiences to the APIs and tooling developers use to integrate models”

What You'll Achieve.

define success metrics; ensure a consistent, high-quality developer experience

Industry & Context.

AI
Problems you'll solve

technical judgment

What They're Looking For.

Must Have

Experience managing engineers building developer-facing products: APIs, SDKs, or developer tooling, Product intuition and technical judgment, Technically hands-on enough to review designs, debug issues, and earn the trust of a IC team, written communication and cross-functional collaboration skills, Interest in AI/ML and the evolving model willingness to develop deep domain knowledge (ML expertise not required), Experience building or supporting self-serve workflows

Nice to Have

Background as an IC in developer tooling, APIs, or ML infrastructure before moving into management, Experience with model evaluation, benchmarking, or comparison frameworks, Familiarity with inference platforms, LLM runtimes, or the model ecosystem (open-source and frontier)

What You'll Do.

Lead and grow a team of engineers

and career development

Own the Model Library product area end-to-end — from discovery and evaluation experiences to the APIs and tooling developers use to integrate models

Maintain a high technical bar through design doc reviews

and hands-on architectural guidance

Drive product quality and reliability: define success metrics

establish feedback loops

and ensure a consistent

high-quality developer experience

How You'll Work.

Team & Collaboration

Partner with product, ML, and cross-functional stakeholders to define scope, prioritize work, and communicate progress; cross-functional collaboration skills; effective collaboration

Communication Scope

written communication; communicate progress

Process & Methodology

prioritize work, define scope

Full Job Description

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 https://www.baseten.co/blog/announcing-baseten-s-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. THE ROLE: You'll lead the Model Library team at Baseten — a small, high-ownership team focused on helping developers discover, evaluate, and select the right models for their specific use cases. This role is for a product-minded engineering manager who thrives in ambiguous, high-impact environments and can guide a team from early-stage product thinking through production-quality execution. You'll stay technically grounded while driving the team's work across model discovery, evaluation frameworks, and the infrastructure that powers a best-in-class model library experience. EXAMPLE INITIATIVES: - Model APIs for frontier models https://www.baseten.co/products/model-apis/ - Model training built for production inference https://www.baseten.co/products/training/ - Introducing the Baseten Frontier Gateway https://www.baseten.co/blog/introducing-baseten-frontier-gateway/ RESPONSIBILITIES: - Lead and grow a team of engineers, including hiring, mentorship, and career development. - Own the Model Library product area end-to-end — from discovery and evaluation experiences to the APIs and tooling developers use to integrate models. - Partner with product, ML, and cross-functional stakeholders to define scope, prioritize work, and communicate progress. - Maintain a high technical bar through design doc reviews, code reviews, and hands-on architectural gu

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