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
- 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 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).
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.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
