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San Francisco Compute

Short-term access to large AI GPUs

Compute Partnerships Manager

Business Development & PartnershipsUpdated on Nov 13
Full-timeSan Francisco, CA, USA$150k - $200k /yr

About the Job

Requirements

  • Two to four years of experience in partnerships, deal desk, business development, or a similar coordination-heavy role, preferably in B2B infrastructure, cloud, or marketplace businesses.
  • A pre-existing network across datacenter operators, neoclouds, or hyperscalers.
  • Ability to manage a high volume of contracts, follow-ups, and trackers accurately.
  • Strong communication and negotiation skills.
  • High ownership and bias to action.

Responsibilities

  • Source and onboard new GPU providers to secure additional compute capacity and diversify the supply base.
  • Conduct first-touch intake calls with prospective GPU providers to gather hardware specifications, pricing, and availability.
  • Help vet incoming bills of materials against cluster requirements and flag gaps or non-standard components.
  • Keep provider profiles and capacity trackers current as new information arrives.
  • Track contracts through redline, review, and signature stages, and flag stalled items.
  • Maintain a clear log of open items, owners, and deadlines across the contract pipeline.
  • Work across supply, go-to-market, engineering, legal, and operations to move opportunities from prospect to signed agreement.
  • Own the timelines, dependencies, escalation paths, and partner communication needed to bring capacity online.
  • Own deal tracking, pipeline reporting, and customer relationship management hygiene.
  • Run weekly reporting on pipeline stages and blockers.
  • Draft and maintain provider marketing collateral, including one-pagers, proposals, flyers, and decks.
  • Map accounts and identify prospective partners among datacenters, GPU operators, and financing groups interested in compute investment.

Desired Qualifications

  • Exposure to AI or machine-learning workloads or GPU hardware specifications.
  • Experience with contract redlining or deal desk workflows.
  • Ability to read a bill of materials or technical specification sheet.
  • Experience working closely with technical or legal teams.

About the Company

San Francisco Compute

Short-term access to large AI GPUs

San Francisco Compute provides short-term access to large-scale GPU clusters for AI training and inference. Clients rent high-end hardware—like H100 GPUs—on a pay-per-use basis with no long-term contracts, enabling bursts of compute when needed. The service is designed for academia, startups, and enterprises that require substantial power for limited periods, with transparent, competitive pricing and strong technical support. The company differentiates itself by offering some of the lowest-priced H100 training clusters in the world, combined with fast, reliable help desk assistance. Its goal is to make high-performance computing affordable and flexible, so customers can scale computing power up or down according to demand.

Company size
51-200
Company stage
Series A
Total funding
$52M
Headquarters
San Francisco, CA
Founded
2023

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