Supply Specialist

Company: Hyperbolic Labs

Hyperbolic Labs is building an Open-Access AI Cloud and GPU marketplace that aggregates computing resources globally to make AI inference and compute affordable and accessible. The team is scaling after Series A and is led by co-founders with PhDs in AI, Math, and Computer Science.

Responsibilities

• Source GPU supply from NeoClouds, data center operators, cloud providers, and other infrastructure suppliers.
• Build and manage a pipeline of supplier relationships from outreach through signed agreement.
• Negotiate commercial agreements (pricing, reserved capacity, SLAs, payment schedules, deposits, contract terms).
• Execute LOIs, MSAs, order forms and coordinate contract finalization with cross-functional partners.
• Conduct commercial diligence validating capacity, technical capabilities, reliability, and counterparty risk.
• Collaborate with Sales, Finance, Legal, and Operations to align agreements with customer demand and marketplace economics.
• Represent Hyperbolic at industry events and help develop scalable supply processes.

Requirements

• Bachelor's degree in Business, Finance, Economics, Engineering, or a related field.
• Approximately 4–6 years in business development, partnerships, supply, sales, or commercial roles within cloud/AI infrastructure or enterprise technology.
• Experience negotiating commercial agreements for infrastructure, cloud services, hosting, colocation, dedicated servers, or GPUs.
• Strong negotiation and relationship-building skills; experience managing deals end-to-end.
• Ability to evaluate deal economics, pricing structures, margins, and commercial tradeoffs.
• Comfortable reviewing commercial contract language including SLAs, payment terms, liability provisions, and operational commitments.
• Highly organized with excellent communication skills and ability to work in a fast-paced startup environment.

Nice to have

• Experience with NeoClouds, GPU providers, data centers, hyperscalers, hosting companies, or infrastructure marketplaces.
• Exposure to financial modeling, marketplace economics, or pricing strategy.
• Experience with infrastructure procurement, capacity planning, or hardware supply chains.
• Existing relationships within the AI infrastructure, GPU, or cloud ecosystem.