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 take ownership of three core areas:
- GPU Procurement & Strategic Partnerships
- AI Infrastructure Development & Deployment
- AI Compute Sales & Commercialization
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
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.
