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Head of Compute Supply · San Francisco

Job in New York, New York County, New York, 10261, USA
Listing for: Liquid Compute
Full Time position
Listed on 2026-10-01
Job specializations:
  • Supply Chain/Logistics
    Supply Chain & Logistics, Procurement / Purchasing
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below

Build the supply network behind a liquid market for GPU capacity.

Location New York City or San Francisco

Base $150,000–$200,000

Equity 0.10%–0.30%

Source, diligence, and contract GPU capacity across neoclouds, clouds, and data centers, and build the system that scales it.

Liquid Compute is building the financial layer for AI compute. GPU capacity is still bought and sold through fragmented, bespoke agreements: prices are hard to compare, supply is difficult to finance, and buyers and operators have few ways to manage volatility.

We are building one market across transparent reference indices, a derivatives exchange pending CFTC designation as a Designated Contract Market and registration as a Derivatives Clearing Organization, physical delivery, and credit. Our goal is to let market participants price, trade, settle, and finance GPU compute with the clarity expected of a mature asset class.

We are an early team backed by Y Combinator, working with AI companies, data centers, neoclouds, trading firms, and financial institutions. Joining now means helping define both the product and the market around one of AI’s most important inputs.

The role

Reliable, deliverable supply is foundational to every index, transaction, and physical settlement. You will own the commercial supply side of Liquid Compute’s market: source GPU capacity, evaluate offers, negotiate contracts, and build durable relationships across neoclouds, major clouds, data-center operators, brokers, and other infrastructure providers.

This is a hands-on builder role. You will personally originate and close supply while creating the market intelligence, diligence standards, contracting workflows, and supplier operating cadence that a future team can scale.

What you will own
  • Build the supply map. Develop a detailed view of available capacity across provider, accelerator generation, region, cluster topology, networking, storage, availability date, and contract term.
  • Run sourcing end to end. Lead market mapping, outreach, requests for pricing or capacity, technical and commercial diligence, contracting, onboarding, performance reviews, renewals, and expansion.
  • Negotiate the full commercial package. Own price, volume, duration, ramp and availability commitments, service levels, credits and remedies, payment terms, delivery expectations, renewal rights, and termination provisions.
  • Turn market signals into procurement decisions. Partner with GTM, product, engineering, finance, legal, and risk to translate demand forecasts and price signals into what to secure, from whom, in which region, and on what terms.
  • Manage supplier and execution risk. Assess counter party quality, technical readiness, delivery risk, concentration, and contract exposure; surface tradeoffs early and keep commitments auditable.
  • Build the supply operating system. Create pricing benchmarks, standardized deal comparisons, supplier records, approval paths, contract data, and dashboards that give leadership a current view of supply, economics, and risk.
What success looks like
  • A diversified supplier network. Liquid Compute can source credible capacity across the GPU types, regions, and contract lengths its customers need.
  • A repeatable decision framework. Supply decisions connect live market demand and pricing to margin, delivery confidence, and risk.
  • Predictable execution. Diligence, contracting, handoffs, renewals, and supplier reviews move quickly without losing control of terms or obligations.
  • Clear market intelligence. Leadership can see where supply is tightening, how providers compare, and which relationships merit deeper investment.
What you bring
  • You have sourced, procured, sold, or commercialized GPU, cloud, or data-center capacity at a neocloud, hyperscaler, AI lab, data-center…
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