--- title: 'Account Executive Supply Chain at The San Francisco Compute Company' canonical: 'https://feeny.ai/job/account-executive-supply-chain-the-san-francisco-compute-company-san-francisco-zpz7j73v2gma' type: 'job' last_seen: '2026-09-07' --- # Account Executive Supply Chain at The San Francisco Compute Company - **Company:** The San Francisco Compute Company - **Location:** San Francisco, CA - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-08-24 - **Last confirmed live:** 2026-09-07 - **Apply:** https://jobs.ashbyhq.com/sfcompute/b3402ea1-6fb3-4e29-b778-03b7325bad89 ## Job description 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 This role helps grow and manage our GPU compute supply by bringing new providers into the network and keeping deals moving from initial conversation through contract and onboarding. You’ll work closely with providers, engineering, and legal to evaluate capacity, gather technical and commercial details, and unblock the contract pipeline. The role also owns pipeline tracking, account mapping, and reporting, helping us build a more diverse and scalable supply base. ## 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 - Own follow-ups with providers and internal stakeholders (legal, engineering) to keep deals moving - Maintain a clear log of open items, owners, and deadlines across the contract pipeline 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 ## 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. ## About The San Francisco Compute Company ## Company Overview - **One-liner**: San Francisco Compute provides large-scale, vetted GPU clusters with flexible, short-term contracts and a liquid market that lets customers sublease unused capacity. - **Entity Type**: Private (Series A; $52M total funding) - **Headquarters**: San Francisco, California, United States - **Founded**: 2023 - **Founders**: Evan Conrad (Co-Founder) ## Core Business - **Primary industry**: AI infrastructure / GPU cloud computing - **Target customers**: AI startups, enterprises, and research labs needing large-scale GPU clusters for pre-training, inference, and high-performance computing - **Mission or purpose**: “De-risk the largest infrastructure build‑out in history” by creating a liquid market for GPU offtake, allowing companies to exit long-term contracts by selling capacity back to the market. ## Products & Services - **GPU Cluster Rentals (H100 / H200)**: Virtual machines (VMs) and bare-metal clusters with 3.2 Tb/s InfiniBand fabric, parallel storage, and fast networking. Pricing starts at $2.04/hr per H100 node and fluctuates with market conditions. [sfcompute.com](https://sfcompute.com/) - **Managed Slurm Clusters**: For customers who need a fully managed HPC scheduler environment. [sfcompute.com](https://sfcompute.com/) - **Liquid Market for Offtake**: Customers can sign long-term contracts but then “sell back” unused capacity on a central limit order book, reducing the risk of being locked into fixed commitments. [sfcompute.com](https://sfcompute.com/about) ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed - **Key Metric**: Total Funding – $52M (Series A: $40M led by Wing Venture Capital and DCVC in November 2025; earlier venture round: $12M led by Altman Capital in July 2024) [cbinsights.com](https://www.cbinsights.com/company/san-francisco-compute-company) - **Notable Investors/Partners**: Wing Venture Capital, DCVC, Altman Capital - **Growth Signals**: 112% YoY headcount growth (35 employees); featured in The Wall Street Journal, Bloomberg, and The New York Times; operates thousands of GPUs with ~1hr average lead time for scaling; active job postings for engineering roles. [linkedin.com](https://www.linkedin.com/company/sfcompute) ## Competitive Advantages - **Flexible contracts**: No forced long-term commitments; customers can exit by selling capacity on the liquid market. - **Own infrastructure stack**: Runs its own virtualization and bare-metal software, unlike a pure reseller. - **Fast provisioning**: VMs spin up in about 5 minutes; large clusters in ~1 hour. - **Failure-tolerant design**: Refunds for failed nodes and can repack healthy hardware. - **Dedicated support**: Large clusters get a dedicated Slack channel with the engineering team and emergency phone escalation. ## Strategic Focus - **Building the GPU offtake marketplace**: Enabling lenders and cluster developers to de-risk financing by offering customers an exit mechanism. - **Expanding InfiniBand support**: Planning to offer InfiniBand on VMs in Q3 2026 (currently available on bare metal and managed Slurm). - **Scaling operations**: Growing the team (currently 35) and continuing to expand cluster capacity in multiple regions (US, Saudi Arabia, Canada, Australia). ## Why Work Here - **Engineering-led culture**: 32% of employees are in technical roles; the team builds and operates the full stack from UEFI up. - **Small, fast-moving team**: 35 employees with 112% YoY growth, offering ownership and impact. - **Location**: In-person culture in San Francisco (“the great city of progress”). - **Notable perks**: Direct access to engineering, hands-on experience with cutting-edge GPU infrastructure, and the chance to solve novel problems in AI infrastructure financing. - **Open roles** (6 active postings): Software Engineer (Systems, Cloud, Product), HPC/GPU Cluster Architect, Technical Program Manager, People & Talent Acquisition Leader. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/sfcompute) ## Sources 1. [sfcompute.com](https://sfcompute.com/) – Official website, pricing, FAQ 2. [sfcompute.com/about](https://sfcompute.com/about) – Mission, business model, market concept 3. [jobs.ashbyhq.com/sfcompute](https://jobs.ashbyhq.com/sfcompute) – Careers page, open roles 4. [linkedin.com/company/sfcompute](https://www.linkedin.com/company/sfcompute) – Company details, headcount, funding, employee breakdown 5. [cbinsights.com](https://www.cbinsights.com/company/san-francisco-compute-company) – Funding rounds, investors, headquarters ## Other roles at The San Francisco Compute Company - [People Operations Manager](https://feeny.ai/job/people-operations-manager-the-san-francisco-compute-company-san-francisco-9b8dk81rsqz1) — San Francisco, CA - [HPC/ GPU Cluster Architect](https://feeny.ai/job/hpc-gpu-cluster-architect-the-san-francisco-compute-company-san-francisco-sbe1f8983vfw) — San Francisco, CA - [General Counsel](https://feeny.ai/job/general-counsel-the-san-francisco-compute-company-san-francisco-qq9v7whjqgmg) — San Francisco, CA - [Staff Design Engineer](https://feeny.ai/job/staff-design-engineer-the-san-francisco-compute-company-san-francisco-ysj84b7g1kte) — San Francisco, CA