General Manager - AI Compute & Infrastructure

• This is a unique opportunity to build an AI infrastructure business within an established international company.
• We are looking for an entrepreneurial leader who understands the GPU compute ecosystem and can turn infrastructure investments into a scalable, revenue-generating business.
• You will work closely with company leadership to develop the business strategy, establish strategic partnerships, identify investment opportunities, and execute the roadmap.
• This is a hands-on leadership role requiring a combination of commercial expertise, infrastructure knowledge, and strong execution capabilities.
• We are not looking for someone who simply manages existing operations. We need someone who can build the business.

Responsibilities

• You will take ownership of three core areas:
• GPU Procurement & Strategic Partnerships
• AI Infrastructure Development & Deployment
• AI Compute Sales & Commercialization

1\. GPU Procurement & Strategic Partnerships

• Develop and execute GPU procurement strategies.
• Establish relationships with NVIDIA, OEMs, distributors, and GPU hardware suppliers.
• Identify opportunities in both new and secondary GPU markets.
• Negotiate hardware supply agreements, pricing, delivery terms, and strategic partnerships.
• Evaluate GPU availability, pricing dynamics, hardware lifecycle, and investment opportunities.
• Build a reliable network of hardware and infrastructure partners.

2\. AI Infrastructure Development

• Lead the planning and deployment of GPU computing infrastructure.
• Identify and evaluate data center locations, colocation providers, and infrastructure partners.
• Coordinate infrastructure requirements, including power, cooling, networking, and operational capacity.
• Develop scalable infrastructure deployment models.
• Oversee project execution in collaboration with technical and operational teams.
• Optimize infrastructure economics, deployment timelines, and operational efficiency.

3\. AI Compute Sales & Commercialization

• Develop the commercial strategy for GPU compute capacity.
• Identify customers requiring AI inference, GPU cloud, and high-performance computing services.
• Build relationships with AI startups, enterprises, cloud providers, and infrastructure companies.
• Negotiate short-term and long-term compute capacity agreements.
• Develop pricing strategies and commercial partnership models.
• Drive customer acquisition, revenue growth, and infrastructure utilization.

4\. Business Strategy & Ownership

• Develop the AI compute business strategy and execution roadmap.
• Build financial models and evaluate investment opportunities.
• Own business unit economics, CAPEX, OPEX, and commercial performance.
• Collaborate with leadership on financing and capital allocation.
• Establish operational and commercial KPIs.
• Build and lead a team as the business scales.
• Take full accountability for business results and profitability.

Requirements

• 2+ years of experience in AI infrastructure, GPU cloud, data centers, cloud computing, or related industries.
• Proven track record of launching, building, or scaling infrastructure-driven businesses.
• Strong understanding of GPU computing, AI infrastructure economics, and the broader AI ecosystem.
• Demonstrated experience in at least two of the following areas:
• GPU procurement and strategic hardware partnerships.
• AI infrastructure development and deployment.
• GPU compute sales and commercialization.
• Strong business development and negotiation skills.
• Experience managing complex commercial agreements and strategic partnerships.
• Solid understanding of financial modeling, CAPEX, OPEX, ROI, and unit economics.
• Entrepreneurial mindset with a strong bias toward execution.
• Ability to operate independently and make decisions in a fast-moving environment.
• Fluent English

Nice to Have

• Established relationships with NVIDIA, OEMs, GPU distributors, or major hardware suppliers.
• Experience at GPU cloud providers, neocloud companies, or AI infrastructure startups.
• Background in GPU-as-a-Service (GPUaaS), AI inference, or compute marketplaces.
• Experience with high-density data centers, Bitcoin mining, or energy-intensive infrastructure.
• Experience negotiating long-term compute capacity contracts.
• Previous experience as a founder, General Manager, or business unit leader.
• Strong professional network in the San Francisco Bay Area.

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).

General Manager - AI Compute & Infrastructure

GoMining · San Francisco, United States (Remote) · Full-time · Posted 2026-11-03