Baseten

2 months ago

Engineering Manager, Model Library

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Lead the Model Library engineering team at Baseten to help developers discover, evaluate, and integrate models. Own the product area end-to-end, from discovery and evaluation experiences to APIs and tooling. Collaborate with product, ML, and cross-functional partners, maintain high technical standards, drive reliability and developer experience, and foster clear communication and collaboration.

Location: San Francisco, New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Manager level

Key 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.

Pay and Benefits

Salary: USD 165,000 - 330,000 annually

Equity and Bonus:Equity

Perks:EquityHealth InsuranceDentalVision401kRemote WorkPaid Leave

Key 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:AI/MLDeveloper tooling

Skills:APIsSDKsDeveloper tooling

Company Brief

Baseten

Baseten provides an inference-first ML infrastructure platform that lets engineering and ML teams deploy, serve, and scale machine-learning models with optimized performance, autoscaling, and GPU-backed hosting for production AI applications. ([crunchbase.com](https://www.crunchbase.com/organization/baseten?utm_source=openai))

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2019

Glassdoor: 5.0

Website LinkedIn Glassdoor

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Baseten

2 months ago

Engineering Manager, Model Library

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: San Francisco, New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Manager level

Key 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.

Pay and Benefits

Salary: USD 165,000 - 330,000 annually

Equity and Bonus:Equity

Perks:EquityHealth InsuranceDentalVision401kRemote WorkPaid Leave

Key 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:AI/MLDeveloper tooling

Skills:APIsSDKsDeveloper tooling

Company Brief

Baseten

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2019

Glassdoor: 5.0

Website LinkedIn Glassdoor