---
title: 'Head of Product at Prime Intellect'
canonical: 'https://feeny.ai/job/head-of-product-prime-intellect-san-francisco-4p7fn6cdb35f'
type: 'job'
last_seen: '2026-11-09'
---

# Head of Product at Prime Intellect

- **Company:** Prime Intellect
- **Location:** San Francisco, CA
- **Compensation:** $200k–$300k
- **Employment:** full-time
- **Posted:** 2026-11-03
- **Last confirmed live:** 2026-11-09
- **Apply:** https://jobs.ashbyhq.com/PrimeIntellect/4132d698-c931-4b9c-a11c-6edcc9be6a19

## Job description

Own Your Intelligence Prime Intellect is building the open superintelligence stack: the infrastructure frontier AI labs build internally, made available to every ambitious AI team. Our platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment into one full-stack system for post-training at frontier scale - from SFT and RL to tool use, agent workflows, and continuously improving production models. We are building open frontier AI: open-source models trained end to end for long-horizon tasks like autonomous research, and the full-stack platform our own research team uses to build them. The next generation of AI companies, enterprises, and research teams do not just need more GPUs. They need the ability to turn their own workflows, tools, data, and feedback loops into superintelligence they own. Prime Intellect has raised $150M in total funding from Founders Fund, Radical Ventures, NVIDIA, and exceptional AI, infrastructure, and enterprise operators, including Andrej Karpathy, Dwarkesh Patel, and leaders and founders from Ramp, Perplexity, Harvey, Mercor, Zapier, Datadog, Cognition, OpenAI, Thinking Machines, Together AI, SemiAnalysis, LangChain, Browserbase, Cloudflare, Sierra, Databricks, Airbnb, OpenRouter, Standard Intelligence, Fleet, Core Auto, and more. We are looking for people who want to build at the intersection of frontier research, real infrastructure, and go-to-market for a category that does not fully exist yet.

## Role Impact

We're looking for a Head of Product to bring clear direction and consistent execution to our product team. You'll help turn the infrastructure behind frontier AI into a product that developers and researchers can use to build, evaluate, and improve their own models. You'll lead the team's product work, stay close to design and implementation, and work with our founders and technical leads to choose what matters most. You'll work with Research, Applied Research, and production customers to make this a repeatable loop for continual learning.

## Responsibilities

- Set a focused product direction with the founders and technical leads. Turn customer needs and new technical capabilities into clear choices about what we build next.
- Shape the connected customer experience across our whole platform: environments, evaluations, training, deployment, and traces. Partner with the teams building Model Factory, Data Factory, inference, and sandboxes to make those workflows work together.
- Turn the workflows used by Research and Applied Research into product features, testing them with production customers.
- Connect Data Factory with Model Factory's training and inference workflows. Use production traces to guide the next round of model improvement.
- Lead product and design from early concepts through launch. Be obsessed with our users’ experience.

## Requirements

- You've built and grown a technical product that (a lot of) people use in production.
- You’ve led teams while balancing remaining hands-on, and understand when to direct execution vs. getting involved yourself.
- You have the technical depth to prototype, work with APIs, and reason through system tradeoffs with engineers. Experience in developer tools, AI infrastructure, or ML platforms is required.
- You care about how a product feels in use and strive to make each experience more simple or useful.
- Design engineering experience is a big plus: you combine bold product vision with exceptional taste and a track record of shipping polished experiences.
- You learn directly from customers, write clearly, and can turn an ambiguous problem into a concrete next step.
- You're obsessed with building open superintelligence and putting the tools and know-how to create it in the hands of ambitious people everywhere.

Particularly useful domain experience: Ownership of agent observability, data curation, training, inference, multi-agent, RL, continual learning, and/or evaluations systems.

## Benefits and Perks

- $200,000–$300,000 base salary plus meaningful equity
- Visa sponsorship and relocation support
- Full medical, dental, and vision (covered for employees and dependents).
- Flexible PTO.
- $200/month health & wellness benefit.

Show us a product you're proud of, what you personally built or led, and how it changed after real people started using it.

## About Prime Intellect

## Company Overview
- **One-liner**: Prime Intellect provides an open, full-stack platform for companies to train, deploy, and continuously improve their own AI models through large-scale distributed reinforcement learning.
- **Entity Type**: Private (Series B)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2023
- **Founders**: Vincent Weisser (CEO), Johannes Hagemann (CTO)

## Core Business
- **Primary industry**: AI infrastructure, open-source AI research, and agentic training platforms
- **Target customers**: B2B — enterprises and AI labs that want to train custom models without building their own infrastructure; also open-source community contributors
- **Mission**: Democratize frontier AI training by making it accessible to every company and collectively owning the resulting open innovations.

## Products & Services
- **Compute**: Access to GPU clusters (H100, H200, B200+) from 50+ providers, plus on-demand single GPU instances and reserved clusters with InfiniBand networking and SLURM/K8s orchestration.
- **Hosted Training (Lab)**: Managed large-scale reinforcement learning (RL) training without infrastructure overhead, including a 2,500+ environment hub and custom eval benchmarks.
- **Inference**: Serverless or dedicated inference for custom models, with native LoRA support and 1-click deployment.
- **Open-Source Libraries**: `prime-rl` (async RL framework), `verifiers` (environments & evals), and environment hub for collaborative development.
- **INTELLECT-3**: A 100B+ parameter Mixture-of-Experts model trained on their RL stack, achieving state-of-the-art performance for its size.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Total Funding**: $70.44M across multiple rounds (CBInsights, 2026); earlier reports indicated $20.5M in seed rounds, followed by a Series B round of $49.94M led by Founders Fund and other investors.
- **Notable Investors/Partners**: Founders Fund, CoinFund, Distributed Global, Radical Ventures, Andrej Karpathy, Clem Delangue (Hugging Face), Dylan Patel (SemiAnalysis), Tri Dao (Together AI).
- **Growth Signals**: Headcount grew 128.6% YoY to 36 employees; 24 active job postings (monthly job growth +26.3%); launched INTELLECT-3 and SYNTHETIC-2 datasets; customers include Ramp and Zap; operates in 9 countries.

## Competitive Advantages
- **Full-stack integrated platform** – compute, post-training, evals, and inference in one place, reducing the fragmentation of building and maintaining AI workflows.
- **Large-scale distributed RL expertise** – proven ability to train 100B+ models across clusters (global training via their RL stack).
- **Open-source ethos** – models, datasets, and libraries are released openly, attracting a community of researchers and developers.
- **Founding team & research edge** – strong ties to frontier AI research, with contributions like prime-rl and self-improving agent loops.

## Strategic Focus
- **Self-improving agents** – building infrastructure that closes the loop from deployment back to training, enabling models to compound performance over time.
- **Scaling RL at extreme sizes** – recent research (RL at 1T Scale) shows commitment to massive-scale reinforcement learning.
- **Enterprise adoption** – adding dedicated solutions engineers and managed workflows for corporate customers.

## Why Work Here
- **Culture**: Seeks “the most ambitious developers” and emphasizes cutting-edge research and engineering. The team includes former engineers from Together AI, Aleph Alpha, and Anyscale.
- **Remote/Hybrid**: Remote-friendly with HQ in San Francisco.
- **Growth trajectory**: Rapidly scaling company (headcount up 128% YoY) with multiple open roles across engineering, research, and go-to-market.
- **Tech stack**: Python, PyTorch, CUDA, Kubernetes, SLURM, Grafana, and a broad modern AI toolchain – opportunity to work on infrastructure-level challenges.

## Sources
1. [primeintellect.ai](https://www.primeintellect.ai/)
2. [linkedin.com/company/primeintellect-ai](https://www.linkedin.com/company/primeintellect-ai)
3. [jobs.ashbyhq.com/PrimeIntellect](https://jobs.ashbyhq.com/primeintellect)
4. [cbinsights.com/company/prime-intellect](https://www.cbinsights.com/company/prime-intellect)
5. [docs.primeintellect.ai/introduction](https://docs.primeintellect.ai/introduction)

## Other roles at Prime Intellect

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- [Member of Technical Staff - IT & Security Eng.](https://feeny.ai/job/member-of-technical-staff-it-security-eng-prime-intellect-san-francisco-hkbvap0c9j57) — San Francisco, CA
- [Head of People](https://feeny.ai/job/head-of-people-prime-intellect-san-francisco-my1dkfkfh6r5) — San Francisco, CA
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