Baseten
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Product Manager
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Baseten Baseten powers inference for the world's most dynamic AI companies, like OpenEvidence, Clay, Mirage, Gamma, Sourcegraph, Writer, Abridge, Bland, and Zed. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. With our recent $150M Series D funding, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction, we’re scaling our team to meet accelerating customer demand. THE ROLE
We’re looking for an exceptional Product Manager to help scale our AI platform at the pace of the market. You’ll work at the center of Baseten’s product lifecycle—from discovery to delivery—helping bring new products to life, guiding them to product-market fit, and supporting our engineering teams with structure and context. This is a high-impact role that combines customer engagement, technical depth, cross-functional collaboration, and strategic execution. Once ramped, you'll fully own shipping products that cut through our whole stack: infrastructure, model performance, and developer experience. No matter your domain, you’ll be responsible for enabling aligned execution to take the product to market and bring the market to the product. EXAMPLE INITIATIVES
Chains for multi-component workflows Asynchronous inference Model APIs for frontier models RESPONSIBILITIES
Take products to market: Partner with Engineering, Design, Marketing, and Sales to iterate on product execution and deliver features that drive customer adoption and product-market fit. Bring the market to the product: Synthesize insights from customers, FDEs, Sales, and the broader AI ecosystem to inform product direction and prioritization. Drive aligned execution: Coordinate across teams to ensure context is shared, dependencies are clear, and execution is fast and smooth. Own and grow product areas: Continue to improve and iterate on products you shipping to drive adoption wedge in the market. Facilitate product development rigor: Introduce scalable processes that enable rapid iteration without compromising quality or engineering efficiency. REQUIREMENTS
3+ years of engineering experience (SWE or Tech Lead or Eng Manager) 1-4 years of product management experience in technical, fast-paced environments Excellent communication and collaboration skills across engineering, design, and go-to-market teams Customer-first mindset with demonstrated success building and iterating products based on real-world feedback A systems thinker who thrives in complex problem spaces with technical depth Technical fluency— you should be comfortable working closely with engineers on the problems they're solving NICE TO HAVE
Experience with developer platforms, ML infrastructure, or enterprise SaaS Familiarity with ML workloads, inference pipelines, or fine-tuning models Understanding of enterprise security, compliance, and scaling requirements BENEFITS
Competitive compensation package. This is a unique opportunity to be part of a rapidly growing startup in one of the most exciting engineering fields of our era. An inclusive and supportive work culture that fosters learning and growth. Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Base pay range
$150,000.00/yr - $225,000.00/yr
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Product Manager
role at
Baseten Baseten powers inference for the world's most dynamic AI companies, like OpenEvidence, Clay, Mirage, Gamma, Sourcegraph, Writer, Abridge, Bland, and Zed. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. With our recent $150M Series D funding, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction, we’re scaling our team to meet accelerating customer demand. THE ROLE
We’re looking for an exceptional Product Manager to help scale our AI platform at the pace of the market. You’ll work at the center of Baseten’s product lifecycle—from discovery to delivery—helping bring new products to life, guiding them to product-market fit, and supporting our engineering teams with structure and context. This is a high-impact role that combines customer engagement, technical depth, cross-functional collaboration, and strategic execution. Once ramped, you'll fully own shipping products that cut through our whole stack: infrastructure, model performance, and developer experience. No matter your domain, you’ll be responsible for enabling aligned execution to take the product to market and bring the market to the product. EXAMPLE INITIATIVES
Chains for multi-component workflows Asynchronous inference Model APIs for frontier models RESPONSIBILITIES
Take products to market: Partner with Engineering, Design, Marketing, and Sales to iterate on product execution and deliver features that drive customer adoption and product-market fit. Bring the market to the product: Synthesize insights from customers, FDEs, Sales, and the broader AI ecosystem to inform product direction and prioritization. Drive aligned execution: Coordinate across teams to ensure context is shared, dependencies are clear, and execution is fast and smooth. Own and grow product areas: Continue to improve and iterate on products you shipping to drive adoption wedge in the market. Facilitate product development rigor: Introduce scalable processes that enable rapid iteration without compromising quality or engineering efficiency. REQUIREMENTS
3+ years of engineering experience (SWE or Tech Lead or Eng Manager) 1-4 years of product management experience in technical, fast-paced environments Excellent communication and collaboration skills across engineering, design, and go-to-market teams Customer-first mindset with demonstrated success building and iterating products based on real-world feedback A systems thinker who thrives in complex problem spaces with technical depth Technical fluency— you should be comfortable working closely with engineers on the problems they're solving NICE TO HAVE
Experience with developer platforms, ML infrastructure, or enterprise SaaS Familiarity with ML workloads, inference pipelines, or fine-tuning models Understanding of enterprise security, compliance, and scaling requirements BENEFITS
Competitive compensation package. This is a unique opportunity to be part of a rapidly growing startup in one of the most exciting engineering fields of our era. An inclusive and supportive work culture that fosters learning and growth. Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Base pay range
$150,000.00/yr - $225,000.00/yr
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