Account Manager - Compute Providers

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 an Account Manager to support our compute provider relationships. On the supply side, you'll source and manage relationships with groups operating GPU hardware and coordinate onboarding new capacity with our engineering team. You'll help close deals with suppliers, both domestic and global, to bring on new clusters. You'll work across GTM, Hardware, and Fleet Engineering. Day to day, you'll be speaking with GPU providers, datacenter operators, and hardware procurement teams, so technical fluency is a must.

This role requires in-office presence Monday through Friday in San Francisco.

What You Will Do

Provider Relationships & Supply Management

• Source and onboard new GPU providers, securing additional compute capacity and diversifying our supply base

• Own the end-to-end commercial relationship for a portfolio of key GPU providers — manage the communication cadence and track updates across engineering and partner teams

• Negotiate commercial terms and long-term supply agreements, including dedicated capacity, pricing models, and service level agreements (SLAs)

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

Deal Execution & Monitoring

• Run and support intro calls with prospective suppliers

• Own deal tracking, pipeline reporting, and CRM management

• Execute deal cycles from discovery and contracting through onboarding

• Work with our engineering teams to convey hardware, networking, or support requests

Performance & Risk Management

• Conduct regular business reviews with providers, evaluating uptime, delivery lead times, and support responsiveness against data-driven KPIs

• Proactively identify and resolve supply disruptions, cost spikes, or capacity bottlenecks with external partners

Account Mapping & Sales Enablement

• Map accounts and identify new prospective partners across datacenters, GPU operators, and financing groups interested in compute investment

• Run tight weekly reporting on pipeline and stages

• Draft and maintain marketing collateral for providers: one-pagers, proposals, flyers, and decks

Minimum Qualifications

• 3–5 years in sales, partnerships, or BD, preferably in B2B infrastructure, cloud, or marketplace businesses

• Track record of closing or directly supporting high-value deals or partnerships, including complex contract negotiations, cost-breakdown models, and volume commitments

• Pre-existing network across datacenter operators, neoclouds, or hyperscalers

• Exceptional communication and negotiation skills

• High ownership and bias to action

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

Preferred Qualifications

• 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

• Operational mindset: deep understa