Head of Product

AI infrastructure company providing an integrated stack for training, evaluating, deploying, and continuously improving agentic models.

Series ARecently funded34 current maintainers27 active leads7 new active leads9 lead step-downs
San Francisco, United States
About Prime Intellect

Prime Intellect, Inc. operates AI infrastructure spanning RL environments, hosted training and evaluations, inference, secure sandboxes, and globally sourced GPU compute.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will set product direction with founders and technical leads, translating customer needs and new technical capabilities into clear priorities. You will shape connected workflows across environments, evaluations, training, deployment, and traces; work closely with research and production customers; and lead product and design from concept through launch. You will remain hands-on with design and implementation while guiding execution and improving the user experience.

Requirements

  • Experience building and growing a technical product used in production.
  • Experience leading teams while remaining hands-on.
  • Technical depth to prototype, work with APIs, and reason through system tradeoffs with engineers.
  • Experience in developer tools, AI infrastructure, or ML platforms.
  • Ability to simplify and improve product experiences.
  • Ability to learn from customers, write clearly, and turn ambiguous problems into concrete next steps.
  • Experience with design engineering is a plus.
  • Useful domain experience in agent observability, data curation, training, inference, multi-agent systems, reinforcement learning, continual learning, or evaluations systems.

Responsibilities

  • Set product direction with founders and technical leads.
  • Translate customer needs and technical capabilities into product priorities.
  • Shape connected platform workflows across environments, evaluations, training, deployment, and traces.
  • Partner with teams building Model Factory, Data Factory, inference, and sandboxes.
  • Turn Research and Applied Research workflows into product features and test them with production customers.
  • Connect Data Factory with Model Factory training and inference workflows.
  • Use production traces to guide model improvement.
  • Lead product and design from early concepts through launch.

Benefits

  • Visa sponsorship and relocation support.
  • Medical, dental, and vision coverage for employees and dependents.
  • Flexible PTO.
  • $200/month health and wellness benefit.