Train, deploy, and continuously improve your own models on an integrated compute, training, inference, and sandbox stack. Backed by Menlo.
About the role
No one builds the AI infrastructure stack alone. The GPU makers, cloud and datacenter providers, model labs, and enterprise platforms we work with are core to how we reach customers and how we ship. The partnerships that matter in this industry are not logos on a slide — they are shipped integrations, field teams that can actually sell and support a joint solution, and customers who win because both companies showed up together. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 7+ years in technical partnerships, alliances, solutions architecture, or technical business development, with at least 3 years managing strategic partners
- Direct experience working with NVIDIA, a hyperscaler (AWS, GCP, Azure), or a GPU cloud provider — ideally on the partner side of that relationship
- Strong technical grounding in AI infrastructure: GPUs and accelerators, networking (InfiniBand, RoCE), distributed training and inference, and the CUDA and PyTorch ecosystem
- A track record of co-selling — you've run joint customer calls and closed or influenced deals alongside partner field teams
- Experience building and delivering technical enablement to sales and engineering audiences
- Comfortable presenting to executives, engineers, and conference audiences
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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