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machine learning apis sdks llms inference📋 Description
- Lead and grow a team of engineers, including hiring, mentorship, and career development.
- Own the Model Library end-to-end, from discovery to developer APIs.
- Partner with product, ML, and stakeholders to define scope and priorities.
- Maintain high technical bar via design and code reviews and architecture guidance.
- Drive quality and reliability; define metrics and feedback loops for dev experience.
- Foster strong written communication, design thinking, and 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 evolving model landscape; willingness to develop deep domain knowledge (ML expertise not required).
- Experience building or supporting self-serve workflows.
🎁 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)
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