Full-Time

Account Manager

Compute Providers

Updated on 7/29/2026

San Francisco Compute

San Francisco Compute

51-200 employees

Short-term access to large AI GPUs

No salary listed

H1B Sponsorship Available

San Francisco, CA, USA

In Person

On-site in San Francisco, California; remote work not available.

Category
Sales & Account Management (1)
Required Skills
Sales

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Requirements
  • 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
Responsibilities
  • 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
  • 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
  • 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
  • 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
Desired 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 understanding of logistics, GPU hardware procurement lead times, or capacity management strategies
San Francisco Compute

San Francisco Compute

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San Francisco Compute provides short-term access to large-scale GPU clusters for AI training and inference. Clients rent high-end hardware—like H100 GPUs—on a pay-per-use basis with no long-term contracts, enabling bursts of compute when needed. The service is designed for academia, startups, and enterprises that require substantial power for limited periods, with transparent, competitive pricing and strong technical support. The company differentiates itself by offering some of the lowest-priced H100 training clusters in the world, combined with fast, reliable help desk assistance. Its goal is to make high-performance computing affordable and flexible, so customers can scale computing power up or down according to demand.

Company Size

51-200

Company Stage

Series A

Total Funding

$52M

Headquarters

San Francisco, California

Founded

2023

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Simplify Jobs

Simplify's Take

What believers are saying

  • Transparent usage pricing reduces procurement friction for buyers.[3]
  • 24/7 Slack, phone, and email support helps time-sensitive training teams.[3]
  • Academic labs, startups, and enterprises fit episodic large-cluster demand.[4][5]

What critics are saying

  • NVIDIA and hyperscalers compress prices with reserved H100 and H200 capacity.[5][15]
  • Secondary-market liquidity failure breaks the contract-exit promise.[3][17]
  • Hardware outages or support failures damage trust during critical training runs.[6][3]

What makes San Francisco Compute unique

  • Short-term GPU bursts replace year-long contracts for AI training.[2][3]
  • Real-time compute resale creates exit liquidity for unused capacity.[3][17]
  • Vetted H100 and H200 clusters target large, reliability-sensitive workloads.[2][6]

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Benefits

Company Equity

401(k) Company Match

Health Insurance

Dental Insurance

Vision Insurance

Unlimited Paid Time Off

Parental Leave

Meal Benefits

Hybrid Work Options

Growth & Insights and Company News

Headcount

6 month growth

3%

1 year growth

-6%

2 year growth

8%
eWeek
Nov 27th, 2025
SF Compute Raises $40M for AI Marketplace

SF Compute has raised $40 million in a new funding round, valuing the company at $300 million. This investment highlights a growing interest among investors in rethinking the financing of AI infrastructure.