Accountabilities

You will own strategic capacity partnerships and develop a strong network of infrastructure providers, ensuring customers can access the resources required to build, deploy, and expand AI computing environments.

Build and maintain strategic relationships with data center operators and developers, colocation providers, power suppliers, and neoclouds across relevant geographic markets.

Maintain an accurate and up-to-date overview of available and upcoming infrastructure capacity, including power availability, data center space, readiness timelines, and commercial terms.

Identify and connect available capacity with customers requiring infrastructure resources, working closely with sales teams and executive leadership.

Respond rapidly to urgent customer requests for data center capacity, providing reliable information on availability, pricing, and deployment timelines.

Structure, negotiate, and manage partnership agreements with infrastructure and capacity providers within established business guidelines.

Bring data center partners into customer engagements alongside silicon and server partners, maintaining relationships throughout deployment and subsequent expansion.

Provide leadership with market intelligence on AI infrastructure developments, including emerging capacity locations, key operators, availability, and commercial economics.

Identify opportunities to strengthen the partner ecosystem and expand access to critical infrastructure resources.

Maintain strong relationships with providers and customers to support long-term collaboration and sustainable business growth.

Requirements

The ideal candidate is an established industry professional with a strong network across the AI infrastructure ecosystem, proven capacity-sourcing experience, and the commercial and technical expertise to negotiate complex partnerships.

Established, direct relationships with data center operators and developers, colocation providers, power suppliers, and neoclouds.

Proven experience sourcing infrastructure capacity, including megawatts (MW) or GPU resources, through established industry relationships.

Deep and current knowledge of the AI data center landscape, including capacity availability, ownership, pricing, development timelines, and access to emerging infrastructure.

Strong commercial judgment and demonstrated ability to structure and negotiate strategic partnership agreements.

Technical understanding of data center infrastructure, including power requirements, cooling systems, site readiness, GPU types, and AI cluster requirements.

Strong deal-making and negotiation skills, with the ability to understand the commercial priorities and motivations of different stakeholders.

Excellent organizational skills and the ability to track multiple providers, capacity availability, and pricing information accurately.

Ability to respond quickly to urgent business requests and deliver reliable capacity information within tight timelines.

Excellent communication and relationship-building skills across providers, customers, executives, and internal teams.

Long-term relationship mindset, reliability, and ability to build trusted partnerships.

Preferred Qualifications

Experience working at a neocloud, GPU aggregator, GPU marketplace, data center developer, or colocation provider where infrastructure capacity was a key business constraint.

Established relationships with major neocloud providers and cloud partner ecosystems associated with leading AI silicon vendors.

Knowledge of bare-metal data center operations, power procurement, and infrastructure capacity planning.

Understanding of GPU types, specifications, and AI/ML workload requirements.

Experience working in a high-growth startup or rapidly scaling technology organization.

Benefits

Remote-first work arrangement, with preference for candidates based in the United States.

Opportunity to lead strategic partnerships in the rapidly growing AI infrastructure market.

Exposure to innovative AI networking, computing infrastructure, and large-scale AI cluster deployments.

How Jobgether works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

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