---
title: 'Product Marketing Lead at Prime Intellect'
canonical: 'https://feeny.ai/job/product-marketing-lead-prime-intellect-san-francisco-qmet74zfdsaq'
type: 'job'
last_seen: '2026-10-19'
---

# Product Marketing Lead at Prime Intellect

- **Company:** Prime Intellect
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Posted:** 2026-10-14
- **Last confirmed live:** 2026-10-19
- **Apply:** https://jobs.ashbyhq.com/primeintellect/d55d1904-1c78-4d87-b71e-26df5c700e8d

## 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, brings together compute, environments, evaluations, sandboxes, training, and deployment so teams can build and improve models around their own workflows. We build open frontier models ourselves and make the infrastructure behind that work available to other AI teams. Our ambition is to give every ambitious team the ability to own its intelligence. We're looking for people who want to work close to frontier research, build real infrastructure, and help shape a market that's still taking form.

## About the role

As our first Product Marketing Lead, you'll fully own the zero to one build of the product marketing function at Prime Intellect. You'll help define how customers understand what we're building, why it matters, and where it fits in their work. That means shaping a new category while making the value of our products concrete enough for a customer to act on today. Our primary commercial motion is sales-led. You'll work directly with customers, founders, Sales, Product, Applied Research, and Engineering to find the use cases that resonate, build the sales narrative, and turn early customer results into proof. You'll own positioning and messaging as a living body of work, testing it in real conversations and changing it as we learn. This is a hands-on role on a small team. You'll set direction and write the first version yourself, from a product page to a launch story to the deck for tomorrow's customer meeting.

## What you’ll do

Positioning & Category Creation

- Define and evolve our product positioning and category narrative. Help customers understand what open post-training infrastructure makes possible, why they need it, and why Prime Intellect is the right partner.
- Turn technical capabilities into clear messaging for developers, AI teams, and the people making buying decisions. Build the core narrative for Prime Intellect's Open SuperIntelligence Stack and the Model Factory offering via product pages and use-case stories that connect our long-term ambition to problems customers have today.

Customer Learning & Product Strategy

- Build a regular practice of customer interviews, sales-call participation, and win/loss analysis. Learn how customers describe their problems, what triggers a buying decision, and where our story falls short.
- Test and revise messaging based on what you hear and what moves opportunities forward. Bring those insights to Product, Engineering and Applied Research to sharpen target use cases, inform packaging, and help distinguish repeatable needs from one-off requests.

Launches & Sales Enablement

- Own product launches from positioning and audience selection through launch content, seller readiness, and follow-through. Work with Marketing and Sales to turn each launch into relevant customer conversations and qualified opportunities.
- Build the materials sellers need to win: pitch decks, demos with technical partners, competitive guidance, objection handling, and customer proof. Stay close to live opportunities, join calls when useful, and keep improving the materials based on how customers respond.

Customer Proof & A Repeatable PMM Practice

- Turn early customer work into case studies, references, and clear accounts of what changed for the customer. Build design-partner relationships that strengthen our story and feed learning back into the product.
- Establish the first product marketing processes and priorities. Measure whether our work helps customers understand the product, progress through evaluation, buy, and expand their use. Use AI tools and agents to accelerate research, synthesis, and production while keeping a high bar for accuracy and craft.

## What you’ll bring

- 8+ years of product marketing or closely related experience, including substantial experience marketing technical products built for developers, engineers, or AI teams.
- Experience taking a product or product marketing function from zero to one. You've built positioning, launches, and sales materials when the audience, category, or playbook was still being defined.
- A track record supporting a sales-led motion. You've worked directly with sellers and technical partners on real opportunities, and can point to messaging and materials that helped customers make a buying decision.
- Strong customer research instincts. You can show how customer conversations changed your positioning, challenged an assumption, or led you to focus on a different use case.
- Technical fluency and curiosity. You can learn a complex product, explain how it works, and earn credibility with developers and researchers while making its value clear to a business buyer.
- Excellent writing and strong editorial judgment. You can turn a dense technical discussion into a clear story without losing what makes the product distinctive.
- Demonstrated, hands-on use of AI tools and agents in your work. We'll ask you to show us how you work.
- Comfort with ambiguity and a bias toward shipping. You can choose what matters, produce a strong first version, and improve it as evidence comes in.

Bonus

- Experience with AI/ML infrastructure, post-training, reinforcement learning, evaluations, or agent platforms.
- Experience helping define an emerging category or repositioning a technical product as the product and market evolved.
- A technical background, hands-on product experience, or experience building a customer advisory or design-partner program.

## What We Offer

- Competitive cash compensation and meaningful equity
- Visa sponsorship and relocation support
- Professional development budget
- Team off-sites and conference attendance
- The opportunity to help shape the market for open AI infrastructure

## 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

- [Research Engineer - RL Infrastructure](https://feeny.ai/job/research-engineer-rl-infrastructure-prime-intellect-san-francisco-faaejgnzefb8) — San Francisco, CA
- [Research Engineer - Pretraining Data](https://feeny.ai/job/research-engineer-pretraining-data-prime-intellect-san-francisco-fbgk1zsg5rfx) — San Francisco, CA
- [Research Engineer - Data and Evaluation](https://feeny.ai/job/research-engineer-data-and-evaluation-prime-intellect-san-francisco-pbeyv35k8888) — San Francisco, CA
- [Research Engineer - Pretraining](https://feeny.ai/job/research-engineer-pretraining-prime-intellect-san-francisco-zemr10qw9rtd) — San Francisco, CA
- [Research Engineer - Inference](https://feeny.ai/job/research-engineer-inference-prime-intellect-san-francisco-1rywfz5aktgb) — San Francisco, CA
- [Research Engineer / Scientist - Reinforcement Learning](https://feeny.ai/job/research-engineer-scientist-reinforcement-learning-prime-intellect-san-francisco-14pw1t4w47jd) — San Francisco, CA
- [Member of Technical Staff - Datacenter Networking](https://feeny.ai/job/member-of-technical-staff-datacenter-networking-prime-intellect-san-francisco-nad0z4zmmdmc) — San Francisco, CA
- [Member of Technical Staff - Storage Infrastructure](https://feeny.ai/job/member-of-technical-staff-storage-infrastructure-prime-intellect-san-francisco-039n2ahf9xzy) — San Francisco, CA
- [Strategic Account Executive - AI Infrastructure](https://feeny.ai/job/strategic-account-executive-ai-infrastructure-prime-intellect-san-francisco-hv0skjf5w6zy) — San Francisco, CA
- [Founding Solutions Architect](https://feeny.ai/job/founding-solutions-architect-prime-intellect-san-francisco-rrwa9hfn3xgq) — San Francisco, CA