Train, deploy, and continuously improve your own models on an integrated compute, training, inference, and sandbox stack. Backed by Menlo.
About the role
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. Shape the connected customer experience across our whole platform: environments, evaluations, training, deployment, and traces. Partner with the teams building Model Factory, Data Factory, inference, and sandboxes to make those workflows work together. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 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
More about this role
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,...
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