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Prime Intellect

Open frontier-model stack for enterprise RL

Head of People

Generalist Recruiting +1Updated on Nov 13
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • You have built People teams and organizational foundations from scratch at a startup, then helped them scale through rapid growth, and can point to what you personally built and how it held up.
  • You have shaped performance and compensation approaches that people understand and leaders actually use.
  • You have personally sourced and closed strong G&A, growth, or marketing hires, and enjoy staying involved in recruiting.
  • You are comfortable working directly with founders, making thoughtful calls with incomplete information, and turning decisions into action.
  • You are deeply excited by the mission to build open superintelligence and the stack for everyone to build and use it.

Responsibilities

  • Shape the approach to performance, development, and reviews, helping ambitious people do their best work and grow with Prime.
  • Partner with the founders, finance, and talent on compensation, equity, leveling, and progression as the company scales.
  • Help leaders build their teams, develop managers, and think ahead about organization design and retention.
  • Personally source and close G&A, growth, and marketing hires, working alongside the internal talent team and helping scale it.
  • Build relationships with investors and recruiting partners who can bring exceptional people into Prime.
  • Lead and scale People Operations while bringing on the first People Operations Coordinator and building out the partnership on onboarding, employee experience, and day-to-day operations.
  • Be a trusted partner to employees and leaders, bringing discretion and clear judgment to important conversations.

About the Company

Prime Intellect

Open frontier-model stack for enterprise RL

Prime Intellect provides an open, end-to-end superintelligence stack for enterprises to train and continually improve their own AI agents. The platform includes scalable compute, large-scale reinforcement learning, environments, sandboxes, evaluations, and deployment tools, and it ships open frontier models to customers. It covers the full lifecycle from training to deployment plus post-training support, enabling agentic training at scale. Its differentiator is the open, end-to-end stack used across thousands of customers with strong backing from top investors, and its goal is to help organizations build and iteratively improve their AI agents using open frontier models.

Company size
51-200
Company stage
Series A
Total funding
$150.5M
Headquarters
San Francisco, CA
Founded
2024

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