Full-Time

Director of GRC

Posted on 9/10/2026

San Francisco Compute

San Francisco Compute

51-200 employees

Short-term access to large AI GPUs

Compensation Overview

$180k - $250k/yr

H1B Sponsorship Available

San Francisco, CA, USA

In Person

Category
Cybersecurity (1)
Required Skills
Incident Response
SOC 2

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Requirements
  • Prior experience in a senior, high-impact GRC or security compliance role at a startup, including building programs under resource constraints.
  • Hands-on experience driving a company through its first ISO 27001 certification from readiness through audit, including standing up the program rather than inheriting one already in place.
  • Experience owning or running a SOC 2 program.
  • Previous experience hiring, managing, and developing a team.
  • Ability to work cross-functionally with engineering on controls, tooling, and technical remediation.
Responsibilities
  • Hire, manage, and develop the GRC team from day one; set its structure, priorities, and operating cadence, and own its results.
  • Own the SOC 2 Type 2 program and lead ISO 27001 certification end to end, including readiness, gap remediation, control implementation, auditor management, and continuous monitoring.
  • Stand up enterprise risk management, including risk assessments, the risk register, treatment plans, and reporting to leadership.
  • Author and operationalize policies and functions including access reviews, business continuity, security awareness, and vendor management.
  • Collaborate with departments to ensure change management and incident response policies are sensible and meet compliance obligations.
  • Own the compliance automation platform, Vanta, and drive selection and integration of GRC-related tooling.
  • Own vendor security reviews and third-party risk assessments.
Desired Qualifications
  • Relevant certifications such as CISA, CISM, CISSP, CRISC, or ISO 27001 Lead Implementer/Auditor.
  • Experience operating compliance automation platforms such as Vanta or similar tools.
  • Privacy program experience with GDPR or CCPA.
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

  • December 2025 Series A raised $40 million at a $300 million valuation.
  • Soluna's 80-H100 deal gave SF Compute immediate inventory for enterprise demand.
  • Staffing grew to roughly 54-61 employees in 2026, signaling operational scaling.

What critics are saying

  • Nvidia supply concentration exposes SF Compute to H100 shortages and pricing shocks.
  • Spheron and other GPU marketplaces undercut rates, compressing margins by 2026.
  • If customers bypass the marketplace and buy direct from providers, SF Compute loses relevance.

What makes San Francisco Compute unique

  • SF Compute sells short-term H100 cluster access, not annual cloud commitments.
  • Its marketplace resells unused GPU capacity, targeting flexible AI training demand.
  • By 2026, it offered self-serve cluster buying and CLI access for teams.

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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

5%

1 year growth

-1%

2 year growth

7%
Tech in Asia
Jun 29th, 2026
OpenAI builds first custom chip Jalapeño to cut AI computing costs

OpenAI has partnered with Broadcom to develop Jalapeño, its first custom chip designed for large language model inference. The move follows similar efforts by Google, Amazon and Meta to reduce computing costs through proprietary hardware. Inference accounts for two-thirds of total compute spending, according to Spheron. However, custom chips won't immediately lower costs for end users unless companies like OpenAI reduce their API pricing. The shift reflects broader industry challenges with AI costs. A global compute shortage is affecting companies from frontier labs to regional startups, with Southeast Asian SMEs potentially being priced out. Meanwhile, San Francisco Compute is addressing the problem by offering a marketplace where companies can sublease excess computing capacity, helping them avoid overcommitting resources to long-term contracts.

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.

The Wall Street Journal
Nov 26th, 2025
Exclusive | SF Compute, an AI Computing Marketplace, Raises $40 Million

Helping AI developers rent out excess computing capacity will reduce the risk of data-center overbuilding, the startup says.

StockTitan
Dec 3rd, 2024
Soluna Cloud Secures Deal with San Francisco Compute Company to Deliver Custom AI Cloud Solutions

Soluna Holdings (NASDAQ: SLNH) has signed a Master Services Agreement with San Francisco Compute Company to provide custom AI cloud solutions.

36Kr
Jul 22nd, 2024
SF Compute raises $12M for AI rentals

San Francisco Compute, a startup offering flexible, short-term AI computing resources, has raised $12 million in a seed round led by Jack Altman's Alt Capital, valuing the company at approximately ¥500 million ($70 million). The company, founded by Alex Gajewski and Evan Conrad, aims to democratize access to high-performance AI chips like Nvidia's H100 by providing rental options on a weekly, daily, or hourly basis. They are also developing a computing power trading platform.