We're building the company which will de-risk the largest infrastructure build-out in history.

When people finance GPU clusters, the datacenters housing them, and the infrastructure powering them, they need "offtake" - meaning someone has signed a contract to lease the cluster for a period of time before its even built.

Financing a GPU cluster is inherently risky, since margins are thin and volumes are huge. Lenders don't want to take on the risk that cluster developers can't repay their loan, and cluster developers really don't want to risk not selling their cluster. As a result, risk is offloaded to the customer using fixed-price long-term contracts.

If you don't mitigate this customer risk, there's a bubble. This isn't SaaS anymore - application layer companies sign multi-year contracts for computer and inference, but sell to customers on monthly subscriptions. If you mess up a purchase, it's game over: a minor shift in your revenue growth rate might mean the difference between profit or bankruptcy. But what if companies could exit their contract by selling it back to the market?

Otherwise, as AI scales, compute only becomes available to folks who can effectively take on that risk. A 2-person startup in a San Francisco Victorian can't realistically sign a 5-year take or pay contract on $100m supercomputers. But they may be able to buy the month of liquidity that someone else sold back.

So that's what we make: a liquid market for GPU offtake.

About the Role

We're hiring a GTM & Partnerships Manager to support both sides of our platform. On the supply side, you'll source and manage relationships with GPU compute providers and coordinate onboarding with our technical team. On the demand side, you'll help close deals with large AI labs and enterprises, own the CRM, and keep the customer motion running. You'll sit across sales, partnerships, and customer success — and work cross-functionally with our engineering, ops, and finance teams. Day to day, you'll be speaking with GPU providers, ML engineers, and infrastructure procurement teams, so technical fluency is a must.

Responsibilities

Provider Relationships & Supply Management

• Source and onboard new GPU providers securing additional compute capacity

• Manage ongoing provider relationships — own the communication cadence and track updates across engineering and partner teams

• Negotiate commercial terms and long-term supply agreements

• Track platform dynamics, competitive trends, and new sources of compute

Deal Execution & Customer Success

• Run and support intro calls with prospective customers — large AI labs and enterprises

• Own deal tracking, pipeline reporting, and CRM management

• Execute deal cycles from discovery and contracting through onboarding

• Work with solutions architects to triage inbound customer issues, determine urgency, and escalate where needed

Partnerships, Events & Enablement

• Coordinate joint GTM efforts with strategic partners across the AI and compute ecosystem

• Support community building by helping plan and execute conferences and developer-focused events.

• Draft and maintain sales collateral: one-pagers, proposals, flyers, and decks.

• Map accounts, identify champions, and run tight weekly reporting on pipeline and cross-functional projects.

• Support broader marketing efforts including messaging, outreach, and social presence.

Minimum Qualifications

• 3–5 years in sales, partnerships, BD, growth, or customer success — preferably in B2B infrastructure, cloud, or marketplace businesses.

• Track record of closing or directly supporting high-value deals or partnerships.

• Exceptional communication and negotiation skills.

• Strong organization: you run tight meetings, write clearly, and keep complex projects moving

• Comfortable translating between engineering, procurement, and business teams.

• High ownership and bias to action.

Preferred Qualifications

• Strongly preferred: You have a pre-existing network across datacenter operators, neoclouds, or hyperscalers.

• Exposure to AI/ML workloads or customers.

• Experience in marketplaces or two-sided platforms.

• Worked closely with technical teams, even if you’re not an engineer.

Benefits

Generous equity grant

Team members are offered a competitive salary along with equity in the company

Visa Sponsorships

Yes, we sponsor visas and work permits

Retirement matching

We match 401(k) plans up to 4%

Medical, dental & vision

We offer competitive medical, dental, vision insurance for employees and dependents and cover 100% of premiums

Time off

We offer unlimited paid time off as well as 10+ observed holidays

Parental leave

We offer biological, adoptive, and foster parents paid time off to spend quality time with family

Daily lunch

We cover lunch daily for employees

Unlimited office book budget

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.

If you require reasonable accommodation for any reason, please reach out to us at hiring@sfcompute.com