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Salary: USD 250,000 - 300,000 / annual
Prime Intellect is building the open superintelligence stack—infrastructure that frontier AI labs build internally, now available to every ambitious AI team. The platform unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment for post-training at frontier scale. The company has raised $150M from Founders Fund, Radical Ventures, NVIDIA, and exceptional operators including Andrej Karpathy and leaders from Perplexity, Harvey, Cognition, OpenAI, Databricks, and others.
You will own Prime Intellect's most strategic technical alliances end-to-end: NVIDIA, hyperscalers, neoclouds, datacenter operators, and partners across models, tooling, and enterprise. You are the single accountable lead for 3–5 tier-1 partnerships, trusted by partner engineering, product, and field teams to turn signed MOUs into shipped integrations and pipeline.
The role sits at the intersection of technical depth and commercial execution. You will go deep on GPUs, networking, distributed training, and inference stacks to hold your own with partner engineers, while running joint go-to-market, executive relationships, and a scalable partner program.
Key responsibilities include: owning partner relationships across all levels (alliance managers, developers, product, field, executives); running quarterly business reviews and joint annual plans; leading joint customer calls and acting as the technical bridge in deals; driving technical integrations, benchmarks, and certifications; building enablement content for partner field teams; planning co-marketing launches, case studies, and webinars; identifying and evaluating new strategic partners; and designing a scalable partner program with tiers, benefits, and playbooks. You will scope proofs of concept with joint customers, secure marketplace and co-sell motions, and bring partner roadmaps into product and research decisions.
The partnerships you build will directly shape how Prime Intellect reaches labs, enterprises, and research teams—and how fast the company can deliver compute, training, and environments.
Requirements:
- 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
- Strong technical grounding in AI infrastructure: GPUs and accelerators, networking (InfiniBand, RoCE), distributed training and inference, CUDA and PyTorch ecosystem
- Track record of co-selling: 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
- Ability to run complex multi-stakeholder relationships with little oversight
- Clear, concise writing: plans, briefs, technical docs
- High ownership mentality
- AI-native work style: comfortable with LLMs, automation, and programmatic tools
Bonus qualifications:
- Prior experience inside NVIDIA's partner or developer ecosystem, or inside a hyperscaler's AI/ML partner organization
- Hands-on background as a solutions architect or ML engineer before moving into partnerships
- Experience standing up a partner program from scratch at an early-stage infrastructure company
- Existing relationships with alliance, field, and engineering teams at major compute providers
