Compute Partnerships Manager
San Francisco Compute
Compute Partnerships Manager
San Francisco Compute
Short-term access to large AI GPUs
San Francisco Compute (SFC) exists to give ambitious teams large scale supercomputers without taking on a catastrophic balance sheet risk. We are building the next generation of AI infrastructure, making large-scale GPU computing more accessible, flexible, and financially sustainable.
Unlike traditional GPU cloud providers, SFC combines supercomputer development and operations with an innovative compute marketplace, giving customers the flexibility to scale without the risks of rigid, long-term contracts.
We are a fast-growing team of ambitious, technically driven people working to shape the future of AI infrastructure. Our leadership team brings deep experience from Lambda, Crusoe, AWS, DigitalOcean, Hut 8, and Voltage Park, with a track record of deploying 8GW of data center capacity and hundreds of thousands of GPUs.
There has never been a more critical moment in history, and it is up to us to shape it on behalf of those who come after us. If you're excited by complex challenges, bold ideas, and meaningful impact, we'd love to meet you.
We’re hiring a Compute Partnerships Manager. This role is based out of our San Francisco office, five days a week. The position is a client-facing, high-ownership role for someone who can navigate ambiguity, build relationships, and take operationally complex deals from initial conversation through delivery.
This is not a back-office procurement role. You will work directly with partners and internal teams to unlock capacity, move deals forward, and solve the practical issues that arise when deploying supercomputing infrastructure.
What You Will Do
Provider Intake & Supply Management
Source and onboard new GPU providers, securing additional compute capacity and diversifying our supply base
Run first-touch intake calls with prospective GPU providers, gathering hardware specs, pricing, and availability
Help vet incoming BOMs against SFC's cluster requirements, flagging gaps or non-standard components
Keep provider profiles and capacity trackers current as new information comes in
Contract Triage & Follow-Up
Track contracts through redline, review, and signature stages, flagging where things are stuck
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 details needed to bring capacity online: timelines, dependencies, escalation paths, and partner communication.
Pipeline Organization & Reporting
Own deal tracking, pipeline reporting, and CRM hygiene
Run tight weekly reporting on pipeline stages and blockers
Draft and maintain marketing collateral for providers: one-pagers, proposals, flyers, and decks
Account Mapping & Sales Enablement
Map accounts and identify new prospective partners across datacenters, GPU operators, and financing groups interested in compute investment
Draft and maintain marketing collateral for providers: one-pagers, proposals, flyers, and decks
Minimum Qualifications
2–4 years in partnerships, deal desk, BD, or a similar coordination-heavy role, preferably in B2B infrastructure, cloud, or marketplace businesses
Pre-existing network across datacenter operators, neoclouds, or hyperscalers
Detail-oriented, comfortable owning a high volume of contracts, follow-ups, and trackers without things slipping
Exceptional communication and negotiation skills
High ownership and bias to action
Preferred Qualifications
Exposure to AI/ML workloads or GPU hardware specs
Experience with contract redlining or deal desk workflows
Comfortable reading a BOM or technical spec sheet
Worked closely with technical or legal teams, even if not an expert in either
It is not a traditional account-executive role.
It is not a narrowly scoped procurement or back-office operations role.
It is not a people-management role on day one.
Team members are offered a competitive salary along with equity in the company
We match 401(k) plans up to 4%
We offer highly competitive medical, dental, vision insurance for employees and dependents.
We offer unlimited paid time off as well as 10+ observed holidays
We offer biological, adoptive, and foster parents paid time off to spend quality time with family
We cover lunch daily for employees
You can buy as many books for the office as you want
The San Francisco Compute Company is committed to maintaining a workplace free from discrimination and harassment.
We make employment decisions based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, belief, national origin, social or ethical origin, age, physical, mental, or sensory disability, sexual orientation, gender identity or expression, marital status, civil union or domestic partnership status, past or present military service, HIV status, family medical history or genetic information, family or parental status including pregnancy, or any other status protected by law.
We welcome the opportunity to consider qualified applicants with prior arrest or conviction records. Our commitment to diversity includes hiring talented individuals regardless of their criminal history, in accordance with local, state, and federal laws, including San Francisco’s Fair Chance Ordinance and California’s ban-the-box laws.
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.
Explore more opportunities at San Francisco Compute