Engineering Manager, Model Library

ABOUT BASETEN

Baseten powers mission‑critical inference for AI companies, enabling them to bring cutting‑edge models into production.

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 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 Model training built for production inference Introducing the 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 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.

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 trade‑offs. 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).

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. 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.

LEGAL NOTICE

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). #J-18808-Ljbffr The Consensus