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The Account Executive will manage full-cycle deals and build a pipeline of qualified leads among AI labs, startups, and enterprises. They will act as a technical partner to founders and engineers to sell GPU compute offtake solutions.
Requires 3–5 years of experience in technical sales, specifically targeting AI infrastructure or cloud buyers. Candidates must be comfortable discussing GPU architecture and cluster performance with technical stakeholders.
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.
We're hiring an Account Executive to support SF Compute’s relationships with leading AI labs, startups, and enterprises that need compute. You'll own full-cycle deals, carrying an individual pipeline and revenue target, while acting as a credible technical partner to founders, ML leads, and infrastructure teams. You'll work within the GTM team, and you'll need to speak comfortably about GPU architecture, cluster performance, and infrastructure buying cycles with both engineers and executives.
This role requires in-office presence Monday through Friday in San Francisco.
Hunt for new business and build a pipeline of qualified leads across target enterprise and infrastructure accounts
Proactively and creatively address new accounts, building relationships with technical founders, ML leads, and enterprise buyers
Own the end-to-end commercial relationship with a portfolio of customers
Negotiate commercial terms and contracts with key stakeholders purchasing GPU compute
Track market dynamics, competitive trends, and demand across target verticals (AI labs, biotech, robotics, and more)
Conduct discovery calls and demos, building ROI cases and tailoring a solution to each prospect's needs
Lead the full sales cycle — from prospecting through close — delivering a predictable, repeatable, and scalable process for mid-to-large organizations
Run or support proof-of-concepts (POCs) that demonstrate the value of SF Compute's platform to technical stakeholders
Own deal tracking, pipeline reporting, forecasting, and CRM management
Represent the company at industry events, meetups, and online communities
Leverage prospecting channels to consistently engage and convert leads
Use your prior sales experience to shape a creative go-to-market strategy, and run tight reporting on sales activity, pipeline status, and outcomes
3–5 years in sales or account executive roles focused on technical buyers — preferably in AI infrastructure, cloud, or marketplace businesses
Track record of owning and closing full-cycle deals, carrying and consistently hitting an individual pipeline or revenue target
Pre-existing network or experience selling to AI labs, infrastructure buyers, or enterprise technical teams
Comfortable explaining technical topics (GPU architecture, cluster performance, workload requirements, or infrastructure procurement)
Exceptional communication and negotiation skills
High ownership and bias to action
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
Experience running POCs or technical evaluations as part of a sales cycle
Team members are offered a competitive salary along with equity in the company
Yes, we sponsor visas and work permits
We match 401(k) plans up to 4%
We offer competitive medical, dental, vision insurance for employees and dependents and cover 100% of premiums
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.
San Francisco Compute is a vertically integrated supercomputing company. We build the data centers & GPU clusters required to power large scale AI. We sell supercomputers on contracts you can sublease via our central limit order book.
Offices: San Francisco, California, US
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