Compute Procurement Lead

COMPUTE PROCUREMENT LEAD LOCATION: SAN FRANCISCO, CA OR REMOTE (US) · FULL-TIME ABOUT ANDROMEDA Andromeda gives AI companies access to the kind of scaled compute once reserved for hyperscalers. Our platform connects 100+ AI customers to 50+ global providers, with billions of GPU-hours supported, and those numbers are all rapidly growing. We combine enterprise-grade reliability with the speed and economics of an open market, serving teams running everything from large-scale training to production inference. Nat Friedman (former CEO of GitHub) and Daniel Gross (former head of AI at Apple, YC partner) started Andromeda in 2023 with a single GPU cluster. It filled almost immediately. Three years later, we're a $1.5B company, profitable since day one, with a Series A from Paradigm to scale the platform globally. The global flow of compute is already a multi-trillion dollar market, and our team is building the infrastructure that enables it to continue to scale. The problem is deceptively hard. Not all compute is equal: interconnect, networking, OEM, firmware, and cluster age all vary across providers, and the differences matter at scale. Our platform benchmarks and validates capacity, takes positions, structures contracts, and operates clusters globally, delivering a consistent product regardless of where it runs. No one else has built this layer, and the AI industry can't scale without it. THE ROLE The Compute Procurement Lead is responsible for sourcing GPU capacity globally on behalf of Andromeda and its customers. The role spans the full supply ecosystem — neoclouds, hyperscalers, colocation operators, data centers, OEMs, and chip vendors including NVIDIA — and covers origination, technical evaluation, and commercial negotiation. You will be responsible for directing up to billions of dollars in compute spend. This is a technical and commercial role in equal measure. You will evaluate capacity from the GPU to the data center, negotiate cost and terms with suppliers, and travel to sites to assess readiness in person. You will work with compute pricing daily and are expected to develop and defend a view on where the market is heading. WHAT YOU’LL OWN ● Global Capacity Sourcing: Find and secure GPU capacity worldwide across neoclouds, hyperscalers, colocation operators, data centers, and emerging providers. Build the pipeline before demand shows up, and keep a live picture of what is available, where, and when. ● Supplier & Ecosystem Relationships: Own relationships across the supply chain — neocloud operators, hyperscalers, colocation and data center operators, OEMs and integrators, and chip vendors including NVIDIA. Manage allocation conversations and roadmap access, and be the person suppliers call first when capacity frees up. ● Technical Evaluation: Assess capacity from the GPU to the data center: hardware generation and SKU, rack and node configuration, interconnect fabric, storage, power density, cooling, and network topology. Know what a configuration will actually deliver on a real workload, not what the spec sheet claims. ● Cost Negotiation: Negotiate pricing and terms with suppliers — GPU-hour rates, capacity commitments, deposits and payment timing, SLAs, and remedies. You will direct up to billions of dollars in compute spend, where every point negotiated compounds across the platform. ● Site Evaluation & Travel: Fly to sites and evaluate them in person. Verify power, cooling, deployment readiness, and operator competence, and translate what you see into a clear go/no-go and a defensible price. ● Market Pricing: Live in compute pricing daily. Track rates by GPU generation, region, and contract term, understand what is moving them, and make sure Andromeda is never the last to know. ● Compute Market Thesis: Build and defend a view on where the compute market is heading — supply coming online, next-generation platform transitions, power constraints, regional and policy shifts — and turn it into concrete sourcing decisio…