General Manager - AI Compute & Infrastructure

GoMining • San Francisco, CA

1d

About The Position

This is an opportunity to build an AI infrastructure business within an established international company. The General Manager will lead GPU procurement and strategic partnerships, AI infrastructure development and deployment, and AI compute sales and commercialization. Working closely with company leadership, the role will develop business strategy, establish partnerships, identify investment opportunities, and execute the roadmap. It is a hands-on leadership position combining commercial expertise, infrastructure knowledge, and strong execution, with responsibility for building the business rather than simply managing existing operations.

The role owns business strategy, financial performance, infrastructure economics, customer acquisition, and profitability. It also involves building and leading a team as the business scales.

Requirements

• At least 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; or 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 and strong bias toward execution.
• Ability to operate independently and make decisions in a fast-moving environment.
• Fluent English.

Nice To Haves

• 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.

Responsibilities

• Develop and execute GPU procurement strategies.
• Establish relationships with NVIDIA, OEMs, distributors, and GPU hardware suppliers.
• Identify opportunities in 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.
• 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 with technical and operational teams.
• Optimize infrastructure economics, deployment timelines, and operational efficiency.
• 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.
• 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.

Benefits

• Support for courses, conferences, and English learning, with up to 100% coverage.
• Remote or hybrid work format with flexible hours across international teams.
• Up to 20 vacation days, 8 company holidays, and 5 personal days per year.
• Structured performance reviews and team awards.
• Retreats in international locations, such as company apartments in Cyprus.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed