Product Manager - Core Product

Posted 22 Days Ago
San Francisco, CA
In-Office
200K-275K Annually
Mid level
Software
The Role
As a Core Product Manager, you will shape the developer experience for AI applications, driving the roadmap for APIs, UI, and workflows, while collaborating with design and engineering teams.
Summary Generated by Built In

ABOUT 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

As a Core Product Manager at Baseten, you’ll shape the core developer experience that powers how users build, deploy, and manage AI applications on our platform. You’ll drive the roadmap for user-facing APIs, SDKs, UI workflows, and integration surfaces, turning complex ML infrastructure into a seamless, intuitive product. Your work will directly impact how teams interact with Baseten day-to-day, ensuring that our platform is both powerful and a joy to use.

EXAMPLE INITIATIVES

  • Chains for multi-component workflows

  • Asynchronous inference

  • Model APIs for frontier models

  • Model training built for production inference

RESPONSIBILITIES

  • Own the roadmap for Baseten’s core product surface, including APIs, UI, and developer workflows

  • Partner with design and engineering to deliver elegant, intuitive developer experiences

  • Collaborate with customers to deeply understand pain points and define solutions that simplify AI deployment

  • Drive new product launches and improve onboarding, observability, and management experiences

  • Align product initiatives with company strategy and ensure measurable product adoption and retention

REQUIREMENTS

  • 4+ years of Product Management experience in developer tools, SaaS, or ML platforms

  • Engineering background (e.g., degree in Computer Science, Electrical Engineering, or related field; or equivalent hands-on experience as a software engineer)

  • Deep empathy for developers and an ability to translate technical complexity into simple, usable products

  • Experience driving cross-functional alignment across design, engineering, and GTM teams

  • Proven ability to define product success metrics and iterate based on data and feedback

NICE TO HAVE

  • Familiarity with AI/ML workflows and inference products

  • Experience building products for technical users (e.g., APIs, SDKs, dashboards)

  • Background in developer experience or product-led growth

BENEFITS

  • Competitive compensation, including meaningful equity.

  • 100% coverage of medical, dental, and vision insurance for employee and dependents

  • Generous PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)

  • Paid parental leave

  • 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.

At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

Top Skills

APIs
Ml Platforms
Sdks
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The Company
59 Employees

What We Do

At Baseten we provide all the infrastructure you need to deploy and serve ML models performantly, scalably, and cost-efficiently.

Get started in minutes, and avoid getting tangled in complex deployment processes. You can deploy best-in-class open-source models and take advantage of optimized serving for your own models.

We also utilize horizontally scalable services that take you from prototype to production, with light-speed inference on infra that autoscales with your traffic.

Best in class doesn't mean breaking the bank. Run your models on the best infrastructure without running up costs by taking advantage of our scaled-to-zero feature

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