Director, AI Capacity Partnerships, North America

Required

• We're looking for someone who is commercially sharp, technically fluent, and deeply networked across the AI infrastructure ecosystem. You don't need to be a deep engineer, but you need enough technical fluency to earn trust with infrastructure teams, cloud buyers, and AI companies.
• You likely have:
• Existing, callable senior relationships across the AI compute ecosystem - neo-clouds, GPU clouds, AI-native companies, NVIDIA ecosystem partners, data center operators, infrastructure investors, or enterprise AI buyers.
• A track record of commercializing GPU capacity, cloud infrastructure, data centers, managed compute, AI platforms, or high-performance infrastructure.
• Experience structuring and closing complex infrastructure deals: offtake agreements, capacity reservations, anchor tenancy, revenue-share, or similar.
• The instincts to originate opportunities without a fully built playbook - and the discipline to follow through.
• Enough technical literacy to discuss GPUs, clusters, power density, liquid cooling, networking, latency, workload requirements, and deployment constraints with credibility.
• Strong pipeline discipline: clear account notes, sharp qualification, reliable follow-through.
• Executive presence and the ability to operate without a large corporate machine around you.
• GPU supply and demand dynamics and how they shape commercial decisions.
• The NVIDIA ecosystem: programs, partners, buyers, and how they interact.
• How AI training and inference workloads translate into infrastructure requirements.