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Join Prime Intellect as a Strategic Account Executive to drive customer acquisition and expansion for AI infrastructure. Leverage your expertise in technical sales to shape the future of AI.
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.
Responsibilities
- Build and close a portfolio of strategic AI-native and enterprise accounts
- Develop relationships with CTOs, Heads of AI/ML, infrastructure leaders, and economic buyers
- Translate customers' training, post-training, and inference roadmaps into multi-year GPU capacity commitments
- Partner with Solutions Architects on technical discovery, benchmarks, and POCs so every deal is won on proof
- Build commercial proposals around committed spend, term length, workload expansion, and Model Factory adoption
- Negotiate and close seven- and eight-figure agreements with economics that work for both sides
- Expand landed compute customers into Model Factory, post-training, inference, and additional capacity
- Partner with Compute and Finance on supply, pricing, and margin so what you sell is what we can deliver
- Maintain rigorous qualification, forecasting, and next-step discipline across the portfolio
- Report pipeline, forecast, and deal status to leadership with accuracy you stand behind
- Feed market, competitive, and customer signal back into product, pricing, and compute strategy
What We're Looking For
- Proven success selling highly technical infrastructure: cloud, GPU compute, AI/ML platforms, or adjacent developer infrastructure
- Experience closing seven-figure enterprise agreements; eight-figure strongly preferred
- Credibility with technical executives and ML/infrastructure teams — you can hold the room with a Head of AI and an engineer at the same time
- Ability to sell economics, architecture, and strategic partnership, not just software features
- Strong deal construction and negotiation skills, including multi-year commitments and consumption-based structures
- Comfort operating in an early-stage, high-accountability environment where you own the number
- High ownership — you see gaps and build the fix before anyone asks
- AI-native in how you work: you use LLMs, automation, and programmatic tools to move faster
- Bonus: Experience selling GPU capacity, reserved compute, or AI training infrastructure specifically
- Background at a GPU cloud, neocloud, hyperscaler AI organization, or AI platform company
- Existing relationships with AI labs, AI-native startups, or enterprise AI leaders
- Experience as an early sales hire who helped define the playbook, pricing, and segmentation
What We Offer
- On-target earnings of $225–$300k++ and meaningful equity
- Flexible work (remote or San Francisco), with travel to customers as needed
- Visa sponsorship and relocation support
- Professional development budget
- Team off-sites and conferences
- A front-row seat to building the infrastructure layer for open AI