Account Executive

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 with in 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…