Head of GPU Supply & Partnerships (AI Compute)

Location: Worldwide; remote or hybrid with flexible hours across international teams

Company

Launching a new AI compute business focused on sourcing, financing, deploying, and monetizing GPU infrastructure.

What you will do

• Define GPU purchasing strategy, including platforms such as H200, B200, and GB200, volumes, timing, and target GPU-hour economics.
• Build supply relationships with NVIDIA partners, OEMs, ODMs, distributors, and secondary-market sellers; secure allocations and delivery dates.
• Negotiate purchase agreements covering price, lead times, payment terms, warranty, RMA, and support.
• Structure hardware financing and build deployment partnerships with colocation, power, networking, and system-integration providers.
• Explore capacity and offtake partnerships with neoclouds and AI companies.
• Manage logistics, acceptance testing, export-control compliance, GPU market analysis, and the growth of the function into a team.

Requirements

• 5+ years in GPU or server hardware procurement, supply chain, or hardware partnerships at a neocloud, GPU cloud provider, hyperscaler, OEM/ODM, distributor, or AI infrastructure company.
• Personal track record of buying data-center GPUs at scale, including H100, H200, B200, GB200, or similar; able to discuss volumes, vendors, and deal structures.
• Direct working relationships with NVIDIA partners, OEMs, ODMs, or major distributors.
• Strong negotiation skills for complex supply agreements covering pricing, delivery, warranty, and payment terms.
• Solid understanding of GPU economics, including CAPEX, cost per GPU-hour, utilization, depreciation, and resale value.
• Ability to work independently and move quickly in a startup-like environment.
• Fluent English required.

Nice to have

• Experience with GPU financing, including leasing, asset-backed debt, or vendor financing.
• Experience with colocation, power, or data center partnerships.
• Knowledge of export controls on AI chips.
• Background in Bitcoin mining or other energy-intensive infrastructure.
• Network in the San Francisco Bay Area AI ecosystem.

Culture & Benefits

• First-hire role with direct access to leadership, a real budget, and autonomy to build the function from scratch.
• Remote or hybrid work worldwide with flexible hours across international teams.
• Support for courses, conferences, and English learning, with up to 100% coverage.
• Up to 20 vacation days, 8 company holidays, and 5 personal days per year.
• Structured performance reviews, team awards, and international retreats, including company apartments in Cyprus.

Hiring process

• Be prepared to discuss personal GPU purchasing experience, including volumes, vendors, and deal structures.