Compute Procurement Lead

Posted Yesterday
Be an Early Applicant
3 Locations
In-Office or Remote
Senior level
Artificial Intelligence • Cloud • Information Technology • Software
The Role
Source and secure global GPU capacity across clouds, data centers, and vendors. Evaluate technical readiness, negotiate commercial terms, travel for site assessments, track market pricing, and build a compute sourcing thesis to direct large-scale spend.
Summary Generated by Built In
Compute Procurement LeadLocation: San Francisco, CA or Remote (US) · Full-TimeAbout 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 or hardware and negotiating it hard. You have carried significant spend and closed against real constraints.

Market Instinct: You follow pricing closely and form independent views. You can explain why a rate moved and what it implies for the next six months.

Willingness to Travel: You’ll be on the road regularly, often internationally and often on short notice. You see site visits as the highest-signal part of the job, not a chore.

Commercial Judgment: Comfortable with unit economics, TCO, and contract structure. You know when to move fast on capacity and when the price implies something is wrong.

Build Orientation: You’d rather create the process than inherit one. You thrive in a lean, high-trust team with direct leadership access and real autonomy.

Strong Candidates May Have

Neocloud or hyperscaler capacity experience: You’ve sat on the supply side and know how these operators actually plan, price, and deliver.

NVIDIA or OEM allocation relationships: Experience managing allocation, forecasting, or partner standing directly with a chip vendor or tier-1 OEM.

Data center operations background: Hands-on familiarity with power, cooling, and deployment readiness — enough to spot a site that won’t make its date.

Commodity or energy market experience: Background in a market where physical delivery, scarcity, and price discovery all had to be handled at once.

Why You’ll Love It Here

● Capacity sourcing is the core of Andromeda’s edge — what you secure determines what the entire platform can sell.

● You’ll see the global supply picture across dozens of providers and hardware generations, a vantage point almost no one else in the market has.

● Small, senior team with direct access to leadership, short decision paths, and genuine ownership over the outcome.

● Comprehensive benefits for you and your dependents, including healthcare, dental, and vision coverage, 401(k), and unlimited PTO

Andromeda Cluster is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Skills Required

  • Deep GPU and data center fluency (hardware generation, rack/node configuration, power, cooling, interconnect)
  • Proven sourcing and negotiation track record for scarce or expensive capacity or hardware
  • Strong market instinct for pricing and supply dynamics
  • Willingness to travel regularly, often internationally and on short notice
  • Commercial judgment with unit economics, TCO, and contract structuring experience
  • Build orientation; ability to create processes and operate in a lean, autonomous team
  • Experience at neoclouds or hyperscalers (supply-side capacity planning and delivery)
  • Relationships or allocation experience with NVIDIA or tier-1 OEMs
  • Hands-on data center operations background (power, cooling, deployment readiness)
  • Commodity or energy market experience (price discovery, physical delivery, scarcity)
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The Company
HQ: San Francisco, California
17 Employees

What We Do

Andromeda Cluster was 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.

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