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Posted YesterdayApplied AI Product Strategy & Revenue Lead
Hybrid
Responsibilities
- Research-adjacent roles where you worked directly with customers or product teams You should have: •
Requirements
- Applied AI Product Strategy & Revenue Lead
- Prime Intellect is building the open superintelligence stack: the infrastructure frontier AI labs build internally, made available to every ambitious AI team.
- 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 â 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. The Role
- We are selling something much more complex and much more valuable than GPUs: the ability for customers to build their own lab â environments, evals, verifiers, agents, training runs, and deployment loops that compound over time.
- You will work with frontier AI labs, fast-growing AI startups, and enterprise AI teams to understand what they are trying to build, where their current stack breaks, and how Prime Intellect can become the infrastructure layer underneath their post-training and agent workflows.
- We are looking for exceptional generalists with rare taste across AI, product, customers, and commercial strategy.
- Technical GTM at a frontier AI, infra, devtools, or enterprise software company •
- Founder or early operator experience at an AI startup •
- Forward-deployed engineering, solutions, or applied AI work •
- Investing, venture, or strategic finance with deep AI infrastructure exposure •
- Ability to work with researchers, engineers, executives, and operators •
- Obsession with AI, post-training, agents, evals, and infrastructure •
- Experience with RL, SFT, evals, agent frameworks, or LLM post-training •
- Experience selling or deploying infrastructure, AI platforms, devtools, or enterprise AI products •
- Experience working with frontier AI labs, model companies, or infra-heavy startups •
- Ability to write excellent customer-facing decks, memos, proposals, and launch narratives •
- Strong network across AI startups, research labs, or enterprise AI teams •
- Most GTM roles ask you to sell a product someone else already defined.
- You will work on the hardest commercial and product questions at one of the fastest-growing companies in AI infrastructure.
- You will sit close to customers building real AI systems, researchers pushing the frontier of post-training, and leadership making company-defining decisions.
- If you want to help invent the playbook for how frontier AI infrastructure gets built, packaged, sold, deployed, and scaled, this is the role. What We Offer •
- A front-row seat to building the infrastructure layer for open AI
- Apply to help Prime Intellect turn frontier post-training infrastructure into the product, platform, and customer motion that powers the next generation of AI systems.
- This is a beta feature to avoid spam applicants.
Benefits
- You do not need to be a PM, but you should have strong product taste. Bonus Points •
- Competitive cash compensation and meaningful equity •
- Visa sponsorship and relocation support •
- Professional development budget •
Additional details
- 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.
- This is not a traditional sales role. It is not a traditional product role. It is not a traditional solutions engineering role.
- You will help define how Prime Intellect turns frontier post-training infrastructure into a product customers can understand, buy, deploy, and expand.
- Today, the hardest part of the business is not selling raw compute.
- It is refining the product, customer motion, and technical wedge together with Applied Research, Product, Engineering, and the customer.
- You will work directly with customers, the CEO, GTM leadership, Applied Research, and Engineering to translate ambiguous customer pain into a concrete product strategy, technical scope, commercial proposal, and path to revenue.
- You will help us figure out where the product is ready, where it needs to be shaped, what the customer actually wants, and how to turn early traction into repeatable motion.
- This is a role for someone who wants to be in the room where a new category is being created.
- You will turn vague, high-stakes customer conversations into clear technical and commercial strategy: •
- What is the customer actually trying to improve? •