Job Opportunities API

COMPUTE PROCUREMENT LEAD LOCATION: SAN FRANCISCO, CA OR REMOTE (US) · FULL-TIME ABOUT ANDROMEDA Andromeda Cluster is a $1.5B company founded by Nat Friedman and Daniel Gross to give early-stage startups access to the kind of scaled AI infrastructure once reserved only for hyperscalers. We began with a single managed cluster — but it filled almost instantly. Since then, we’ve been quietly building the systems, network, and orchestration layer that makes the world’s AI infrastructure more accessible. Today, Andromeda works with leading AI labs, data centers, and cloud providers to deliver compute when and where it’s needed most. Our platform routes training and inference jobs across global supply, unlocking flexibility and efficiency in one of the fastest-growing markets on earth. Our long-term vision is to build the liquidity layer for global AI compute. We are expanding to new frontiers to find the brightest that work in AI infrastructure, research and engineering. 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 decisions. WHAT WE’RE LOOKING FOR ● Deep GPU & Data Center Fluency: You understand GPUs, racks, interconnect, power, and cooling well enough to evaluate a cluster on your own judgment. You can read a configuration and tell whether it will train what the customer says it will. ● Sourcing & Negotiation Track Record: Experience sourcing scarce, expensive capacity