Head of GPU Supply & Partnerships

About the role

GoMining is launching a new AI compute business and is hiring its first GPU supply leader. You will own how we source, buy and finance GPU hardware, and build the partner network that gets it deployed and generating revenue.

This is a hands-on, first-hire role: no team yet, a direct line to leadership, real budget, and the freedom to build the function from scratch.

What you will do

• Define the GPU purchasing strategy with leadership: which platforms (H200, B200, GB200 and others), what volumes, when, and at what target economics per GPU-hour.
• Secure supply: build relationships with NVIDIA partners, OEMs (Supermicro, Dell, HPE, Lenovo), ODMs, distributors and secondary-market sellers; win allocation and realistic delivery dates.
• Negotiate and close purchase agreements: price, lead times, payment terms, warranty, RMA and support.
• Structure hardware financing together with finance: vendor financing, leasing, GPU-backed debt.
• Build deployment partnerships: colocation and power providers, networking (InfiniBand / Ethernet) and system integrators.
• Explore commercial partnerships: capacity and offtake agreements with neoclouds and AI companies.
• Manage logistics, delivery, acceptance testing and export-control compliance.
• Track the GPU market (pricing, availability, new generations, resale values) and advise leadership on timing.
• Grow the function into a team as the business scales.

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.
• A personal track record of buying data-center GPUs at scale (H100, H200, B200, GB200 or similar). Be ready to talk about volumes, vendors and deal structures.
• Direct working relationships with NVIDIA partners, OEMs, ODMs or major distributors.
• Strong negotiation skills on complex supply agreements: pricing, delivery, warranty, payment terms.
• Solid understanding of GPU economics: CAPEX, cost per GPU-hour, utilization, depreciation and resale value.
• Ability to work independently and move fast in a startup-like environment.
• Fluent English.
• Nice to have
• Experience with GPU financing: leasing, asset-backed debt, 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.
• A network in the San Francisco Bay Area AI ecosystem.

Benefits

• Professional growth: support for courses, conferences, and English learning (up to 100% coverage).
• Work-life fit: remote or hybrid format with flexible hours across international teams.
• Paid leave: up to 20 vacation days + 8 company holidays + 5 personal days per year
• Recognition programs: structured performance reviews and team awards.
• Team culture: retreats in international locations (for example, company apartments in Cyprus).