Product Lead

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.

We're looking for a Product Lead to bring clear direction and consistent execution to our product team within Engineering. 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. San Francisco is our preferred location; remote is possible for the right candidate.

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  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.

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  Shape the connected customer experience across our whole platform: environments, evaluations, training, deployment, and traces. Partner with the teams building Model Factory, inference, and sandboxes to make those workflows work together.

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  Work directly with customers and our own researchers. Use their real workloads to find friction, test ideas, and turn useful experiments into dependable product features.

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  Stay hands-on through prototypes, product specs, design reviews, and working sessions with engineers.

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  Measure whether the product helps people succeed: time to a first useful result, repeat usage, production adoption, and where customers need help. Use that evidence to improve the roadmap.

• 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 training, inference, multi-agent, RL, continual learning, and/or evaluations systems.