---
title: 'Head of Growth at Prime Intellect'
canonical: 'https://feeny.ai/job/head-of-growth-prime-intellect-san-francisco-qca0zz798zkh'
type: 'job'
last_seen: '2026-10-12'
---

# Head of Growth at Prime Intellect

- **Company:** Prime Intellect
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Posted:** 2026-07-08
- **Last confirmed live:** 2026-10-12
- **Apply:** https://jobs.ashbyhq.com/primeintellect/4c6ccfd6-6512-4905-979a-6dcc6d64a935

## 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.

## Your Role

As Head of Growth, you’ll lead everything that connects our technology to the market — spanning sales, marketing, partnerships, and customer success. You’ll define how Prime Intellect tells its story, close large-scale post-training and compute contracts, and build the systems that let us scale revenue efficiently. This is a high-leverage role combining strategy, execution, and team building — perfect for a hybrid commercial operator who thrives at the intersection of infrastructure and intelligence.

## Responsibilities

Strategy & Vision

- Build and lead a cross-functional Growth organization spanning Sales, Marketing, Partnerships, and Customer Success.
- Define our go-to-market strategy for RL infrastructure pricing, packaging, and positioning.
- Own revenue forecasting, pipeline visibility, and operational cadence (CRM, dashboards, and forecasting systems).
- Design data-driven systems for deal tracking, reporting, and forecasting accuracy.

Sales & Partnerships

- Lead enterprise sales cycles for post-training and multi-node cluster deals (64+ GPUs, 6+ month durations).
- Develop repeatable playbooks for design-partner conversions and enterprise onboarding.
- Build strategic partnerships with compute providers, AI companies, and research labs to expand our ecosystem.
- Identify and nurture high-value leads through targeted outbound and inbound growth strategies.

Marketing

- Drive developer and enterprise awareness through campaigns, launches, community, and content.
- Translate technical features into clear market narratives and differentiated positioning.
- Partner with Product to align market feedback with roadmap and developer onboarding.
- Run quantitative experiments on activation, conversion, and usage metrics.

Customer Success / Account Management

- Build the CS motion across onboarding, usage analytics, renewals, and expansion workflows.
- Implement CRM-based renewal tracking and feedback loops into product and operations.
- Establish systems for continuous measurement of customer value and satisfaction.

Growth Operations

- Design scalable processes for deal management, supplier bidding, contract ops, and revenue tracking.
- Partner with Operations and Finance on budgeting, hiring, and legal structures that support rapid scale.
- Implement sales technology stack and CRM architecture to enable data-driven decision making.

## What We’re Looking For

- 5+ years leading growth, GTM, or revenue functions at a B2B or infrastructure startup.
- Fluent in both technical and commercial conversations — comfortable discussing GPUs, APIs, and pricing models.
- Proven ability to build scalable systems (CRM, forecasting, dashboards) and clean operational processes.
- Track record of closing enterprise-scale infrastructure or developer-tooling deals.
- Analytical, curious, and comfortable in high-ambiguity, fast-moving environments.
- Strong communication and leadership skills with experience building small, high-performing teams.

Bonus:

- Experience pricing or selling infrastructure or developer tools.
- Familiarity with enterprise AI, cloud infrastructure, or post-training markets.
- Early-stage operator mindset — bias for building playbooks, not inheriting them.

## What We Offer

- Cash Compensation Range of $150-300k + equity incentives
- Flexible Work (remote or San Francisco)
- Visa Sponsorship & relocation support
- Professional Development budget
- Team Off-sites & conference attendance
- Opportunity to Shape Decentralized AI at Prime Intellect

## 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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- [People Operations Coordinator](https://feeny.ai/job/people-operations-coordinator-prime-intellect-san-francisco-1bana2mzh7t7) — San Francisco, CA
- [Senior Technical Partnerships Manager](https://feeny.ai/job/senior-technical-partnerships-manager-prime-intellect-san-francisco-v1syrxfnh99j) — San Francisco, CA
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