Engineering Manager, Model Library

Requisitos e responsabilidades

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Details

Model APIs for frontier models
Model training built for production inference
Introducing the Baseten Frontier Gateway
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.
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.
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).
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.