Engineering Manager, Model Library

Baseten • San Francisco, CA

10d

About The Position

Baseten powers mission-critical inference for the world's most dynamic AI companies. 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. The role is for an Engineering Manager to lead the Model Library team, a small, high-ownership team focused on helping developers discover, evaluate, and select the right models for their specific use cases. This is a product-minded role for someone who thrives in ambiguous, high-impact environments and can guide a team from early-stage product thinking through production-quality execution. The manager will 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.

Requirements

• Experience managing engineers building developer-facing products: APIs, SDKs, or developer tooling.
• Product intuition and technical judgment — able 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 Haves

• 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).

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 guidance.
• Drive product quality and reliability: define success metrics, establish feedback loops, and ensure a consistent, high-quality developer experience.
• Foster a culture of strong written communication, clear design thinking, and effective collaboration.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed