Engineering Manager, Model Library

Stack

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 APIs and tooling
• ▹Partner with product, ML and cross-functional stakeholders to define scope and prioritize work
• ▹Maintain a high technical bar through design doc reviews, code reviews and hands-on architectural guidance
• ▹Drive product quality and reliability: define success metrics and establish feedback loops
• ▹Foster a culture of strong written communication and clear design thinking

Requirements

• ▹Experience managing engineers building developer-facing products: APIs, SDKs or developer tooling
• ▹Product intuition and technical judgment to balance speed, quality and developer experience tradeoffs
• ▹Technically hands-on enough to review designs, debug issues and earn the trust of a strong IC team
• ▹Strong written communication and cross-functional collaboration skills
• ▹Interest in AI/ML and the evolving model landscape; 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)

Soft skills

What we offer

• ▹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 (offices 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

About the company

Baseten powers mission-critical inference for the world's most dynamic AI companies, including Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By combining applied AI research, flexible infrastructure and seamless developer tooling, Baseten helps companies at the frontier of AI bring cutting-edge models into production. The company is growing quickly and recently closed a $1.5B Series F round led by Altimeter Capital, Conviction Partners and Spark Capital.