Director, AI Capacity Partnerships, North America (AI)

Location: United States (Remote)

Salary: $202,000–$253,000 USD annually, plus equity and subsidized benefits.

Company

hirify.global delivers modular, deployable AI infrastructure for edge and sovereign computing customers across more than 60 countries.

What you will do

• Originate, qualify, and convert demand for GPU capacity across AI factory and Leviathan deployments, including training, inference, fine-tuning, enterprise AI, and sovereign AI workloads.
• Build qualified pipelines of offtake, anchor tenant, reserved capacity, and strategic compute opportunities.
• Match customer requirements—including GPU type, cluster size, geography, timing, power profile, cooling, tenancy model, and commercial structure—to deployable sites and infrastructure.
• Own strategic relationships with senior decision-makers across the AI compute ecosystem and keep high-value opportunities moving.
• Help structure offtake agreements, capacity reservations, anchor tenancy models, revenue-share arrangements, and strategic partnerships.
• Provide market intelligence for site selection, capacity planning, technical configuration, deployment roadmaps, and go-to-market decisions.

Requirements

• Existing, callable senior relationships across the AI compute ecosystem, including neo-clouds, GPU clouds, AI-native companies, NVIDIA ecosystem partners, data center operators, infrastructure investors, or enterprise AI buyers.
• 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, such as offtake agreements, capacity reservations, anchor tenancy, revenue-share arrangements, or similar transactions.
• Ability to originate opportunities without a fully built playbook and follow through with strong pipeline discipline, clear account notes, qualification, and reliable execution.
• Technical fluency sufficient to discuss GPUs, clusters, power density, liquid cooling, networking, latency, workload requirements, and deployment constraints with infrastructure teams, cloud buyers, and AI companies.
• Understanding of GPU supply and demand dynamics, the NVIDIA ecosystem, and how AI training and inference workloads translate into infrastructure requirements.
• Understanding of how power, cooling, geography, latency, interconnect, deployment timing, neo-clouds, AI-native companies, enterprises, and sovereign buyers affect compute decisions.
• Executive presence and ability to operate without a large corporate machine.

Nice to have

• Background in neo-clouds or GPU cloud providers, NVIDIA ecosystem partners or programs, AI infrastructure startups, data center platforms with AI or HPC exposure, cloud infrastructure business development, AI platform companies, HPC or advanced compute providers, systems integrators, OEMs, or infrastructure investment and operations.

Culture & Benefits

• Ownership, autonomy, direct access to decision-makers, and work on first-of-kind AI infrastructure deployments.
• Medical, dental, and vision coverage with subsidized costs.
• Health savings accounts, flexible spending accounts, and dependent care FSAs.
• Retirement plan options including 401(k) and Roth 401(k).
• Unlimited paid time off and 14 paid company holidays annually.
• Equity and an entrepreneurial, collaborative, fast-paced work environment.