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Prime Intellect seeks an Applied AI Product Strategy & Revenue Lead to define and deliver their frontier AI training infrastructure to customers. This unique role blends product strategy, customer engagement, and revenue generation, working at the intersection of AI research, infrastructure, and go-to-market strategy. You will translate customer needs into product roadmaps, shape market positioning, and drive revenue by owning customer opportunities from start to finish. The ideal candidate is an exceptional generalist with strong judgment in AI, product, and commercial strategy, comfortable with ambiguity and building a new category.
Prime Intellect is building the infrastructure that frontier AI labs build internally, and making it available to everyone.
Our platform, Lab, unifies environments, evaluations, sandboxes, and high-performance training into a single full-stack system for post-training at frontier scale — from RL and SFT to tool use, agent workflows, and deployment. We validate everything by using it ourselves, training open state-of-the-art models on the same stack we put in customers’ hands.
We are building for the next generation of AI companies, enterprises, and research teams that do not just want more GPUs. They want the ability to turn their own workflows, tools, data, and feedback loops into continuously improving models and agents.
Prime Intellect has raised $150M in total funding from Founders Fund, Radical Ventures, NVIDIA, and a network of exceptional operators and founders across AI, infrastructure, and enterprise software, including leaders and founders from Ramp, Perplexity, Harvey, Mercor, Zapier, Datadog, Cognition, OpenAI, LangChain, Browserbase, Cloudflare, Sierra, Databricks, 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.
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. We are selling something much more complex and much more valuable than GPUs: the ability for customers to build their own lab — environments, evals, verifiers, agents, training runs, and deployment loops that compound over time.
You will own that messy middle.
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 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.
You will turn vague, high-stakes customer conversations into clear technical and commercial strategy:
You will help shape Prime Intellect’s product motion before every part of the playbook is obvious.
That means identifying patterns across customer conversations, building repeatable narratives, defining packaging, sharpening use cases, and helping the team understand which customer asks are one-off noise versus signs of a massive market.
You will help answer questions like:
You will own high-value customer opportunities from first serious conversation through qualification, scoping, proposal, POC, procurement, and expansion.
You will not be measured on activity. You will be measured on whether the most important customers move.
This includes:
You will work extremely closely with Applied Research.
The best version of this role has enough technical taste to understand where an RL/post-training workflow is real, where a customer is hand-waving, and where a sharp Applied Research prototype could unlock a major deal.
You will help Applied Research prioritize customer-facing work by bringing signal from the field:
The market understands compute. It does not yet fully understand full-stack post-training infrastructure.
You will help write the playbook.
You will contribute to positioning, sales narratives, customer decks, case studies, reference architectures, launch moments, and internal strategy. You should be able to turn raw customer conversations into crisp language the entire company can use.
We are looking for exceptional generalists with rare taste across AI, product, customers, and commercial strategy.
You might come from:
You should have:
You do not need to be a researcher, but you should be technical enough to earn trust with researchers and customers.
You do not need to be a traditional salesperson, but you should be commercially intense enough to close.
You do not need to be a PM, but you should have strong product taste.
Most GTM roles ask you to sell a product someone else already defined.
This role asks you to help define the product, the market, the motion, and the revenue engine at the same time.
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 a clean playbook, this is not the role.
If you want to help invent the playbook for how frontier AI infrastructure gets built, packaged, sold, deployed, and scaled, this is the role.
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.