Product Lead

Prime Intellect•San Francisco, CA

3d•$200,000 - $300,000

About The Position

Prime Intellect is hiring a Product Lead to provide direction and consistent execution for its product team within Engineering. The role focuses on turning infrastructure for frontier AI into a product that developers and researchers can use to build, evaluate, and improve their own models. The Product Lead will guide the team's product work, stay close to design and implementation, and collaborate with founders and technical leads on priorities. The role shapes a connected customer experience across environments, evaluations, training, deployment, and traces, including work with the teams building Model Factory, inference, and sandboxes. It involves working directly with customers and Prime Intellect researchers, using real workloads to identify friction, test ideas, and develop experiments into dependable product features. The Product Lead also contributes hands-on through prototypes, product specifications, design reviews, and working sessions with engineers, and measures product outcomes such as time to a first useful result, repeat usage, production adoption, and customer support needs. San Francisco is the preferred location; remote work is possible for the right candidate. Compensation is $200,000–$300,000 base salary plus meaningful equity.

Requirements

Experience building and growing a technical product used in production by many people.
Experience leading teams while remaining hands-on, with judgment about when to direct execution and when to get involved personally.
Technical depth to prototype, work with APIs, and reason through system tradeoffs with engineers.
Experience in developer tools, AI infrastructure, or ML platforms.
Care about product usability and strive to make experiences simpler or more useful.
Learn directly from customers, write clearly, and turn ambiguous problems into concrete next steps.
Strong interest in building open superintelligence and making the tools and knowledge to create it available to ambitious people.

Nice To Haves

Design engineering experience, combining product vision with strong taste and a record of shipping polished experiences.
Domain experience in training, inference, multi-agent systems, reinforcement learning, continual learning, and/or evaluation systems.

Responsibilities

Set product direction with founders and technical leads, translating customer needs and technical capabilities into priorities.
Shape the connected customer experience across environments, evaluations, training, deployment, and traces.
Partner with the teams building Model Factory, inference, and sandboxes to make platform workflows work together.
Work directly with customers and internal researchers to identify friction, test ideas, and turn useful experiments into dependable product features.
Contribute hands-on through prototypes, product specifications, design reviews, and working sessions with engineers.
Measure product outcomes, including time to a first useful result, repeat usage, production adoption, and where customers need help, and use the evidence to improve the roadmap.