---
title: 'Deployment Manager at The San Francisco Compute Company'
canonical: 'https://feeny.ai/job/deployment-manager-the-san-francisco-compute-company-san-francisco-dh8st93gvvw1'
type: 'job'
last_seen: '2026-10-12'
---

# Deployment Manager at The San Francisco Compute Company

- **Company:** The San Francisco Compute Company
- **Location:** San Francisco, CA
- **Compensation:** $150k–$200k
- **Employment:** full-time
- **Posted:** 2026-09-24
- **Last confirmed live:** 2026-10-12
- **Apply:** https://jobs.ashbyhq.com/sfcompute/dbb055b5-d2a9-4017-b4eb-4cc7ecbc6a8c

## Job description

## About San Francisco Compute

San Francisco Compute exists to give ambitious teams large scale supercomputers without taking on a catastrophic balance sheet risk. Most GPU clouds force you to sign long term contracts with no way out. If you underbuy, you miss the window. If you overbuy, you’ll blow up with no way out. It’s a desperate gamble that San Francisco Compute does not force you to play. Originally, SFC was an AI lab that bought too big of a GPU cluster and was forced to sublease it or go under. Today, we build data centers, supercomputers, and then lease those machines on contracts that let our customers sublease. More than anyone else in the industry, we deeply felt the pain and fear of being forced to bet the farm with your neocloud vendor. To make it possible to sublease, we invented the first compute market and became the first one to offer physical settlement. That means we operate GPU clusters like a neocloud and derisk our customers like a market. Customers buying GPU clusters don’t want to work through a network of brokers. They want to transact with the folks that have the keys to the cluster and can own the SLA. To keep the industry safe from unnecessary risk, SFC needs to scale fast. To do that, we serve financially motivated parties as a technical partner to build, operate, & lease supercomputers on their behalf. Basically, we help folks who want an economic return build GPU clusters on their balance sheet, but operated in full by us. That allows us to retain the technical control needed to operate a cloud, but scale fast like a market. SFC’s ability to offer subleasing can significantly increase the levered returns for cluster owners. Our hybrid model out-performs brokered contracts or other “compute markets”, who have to go through a network of counterparties to solve problems. It also lets us design custom solutions for our customers, like clusters deployed in regions next to your dataset or physical eval set or a large CPU fleet deployed colocated with your GPU cluster. Our team includes senior & technical leadership from places like Lambda, Crusoe, Digital Ocean, AWS, and Hut8. Our CTO is the cofounder and former CEO of Voltage Park. In prior roles, our team has deployed 8GW of datacenter capacity & hundreds of thousands of GPUs. We’ve been described as having “the highest talent density in the space.” If you are an honorable, gritty person with eyes wide open & good epistemics, who wants to see AI go right, we’d love to work with you. There has never been a more critical moment in history and it is up to us to shape it on behalf of those who come after us.

## About The Role

We're hiring a Deployment Manager for the Compute Deals team. This is the person who coordinates everything that happens post-deal signature: herding internal teams and the external counterparty from contract handoff through bring-up and validation to successful customer delivery. Compute Engineering owns the technical bring-up and sets the acceptance bar; this role owns the integrated plan and keeps every workstream moving against it. This is not a deal-sourcing or procurement role, but you will run point on every workstream necessary to execute a compute partnership contract successfully, working with Engineering and GTM until the cluster is live and the customer is running on it.

## What You Will Do

Cross-Functional & Customer Coordination

- Serve as the connective tissue between Compute Deal Lead, Engineering, and GTM, translating technical status into clear updates for internal stakeholders
- Coordinate compute provider-facing and customer-facing communication on deployment status and timelines, in partnership with Compute Deal Lead and GTM
- Influence technical and operational decisions across teams that don't report to you

Partner & Account Management

- Own internal and external partner communication for every active deployment, keeping customers, providers, and internal stakeholders aligned on status, timelines, and next steps
- Coordinate directly with the Head of Compute Deals on contract handover, making sure deal terms, commitments, and customer context carry cleanly into the deployment phase
- Flag account-level risks or opportunities back to the Head of Compute Deals early, so the deal team can get ahead of them

Process & Reporting

- Run tight, recurring reporting on deployment stages, blockers, and upcoming milestones. This includes building dashboards, trackers, and standups, consolidating on existing tooling rather than adding parallel trackers
- Drive better handoffs from deal teams into deployment, tightening the contract-to-kickoff transition

Deployment Ownership

- Own the integrated deployment plan for signed compute deals, from contract handoff through rack-and-stack, bring-up, validation, and customer go-live, and hold the timeline across all workstreams
- Lead multiple concurrent GPU cluster deployments at varying stages, sequencing dependencies across hardware delivery, site readiness, networking, and software bring-up
- Track delivery milestones and acceptance criteria for each deployment and drive them to closure. Compute Engineering defines the NPI checklist, bring-up milestones, and acceptance criteria; Hardware owns procurement and site readiness. This role does not duplicate either, it keeps them on one plan

BOM & Technical Validation

- Read and reconcile Bills of Materials against contracted specs, catching mismatches, substitutions, or non-standard components
- Work directly with Engineering to understand rack configurations, node specs, and network topology well enough to ask the right technical questions, not just relay them

Location & Travel

- SF-based, with regular travel to deployment sites (currently Santa Clara, Wisconsin, and Minnesota) for delivery milestones, contractor coordination, and site handovers

## Minimum Qualifications

- 5+ years in technical program or project management. Ideally in data center, infrastructure, hardware, telecom but not required
- A track record of managing complex, multi-stakeholder programs over months, not days
- Excellent cross-functional communication; equally credible with hardware engineers and commercial/deal leads
- High ownership and bias to action, comfortable escalating early rather than waiting for a problem to resolve itself

## Preferred Qualifications

- Fluency in GPU/compute infrastructure terminology (NVL72, HGX, DGX, InfiniBand, rack/node topology)
- Demonstrated ability to read and work with a Bill of Materials; you understand rack configurations, node specs, and networking components well enough to catch a discrepancy before it derails a build
- Experience with data center buildouts, colocation deployments, or large-scale GPU cluster commissioning specifically
- Exposure to contract or deal-desk handoffs, even if not an expert in deal structuring

What This Role Is Not

- It is not a deal-sourcing, negotiation, or contract-drafting role
- It is not a narrowly scoped procurement or back-office operations role
- It is not a people-management role on day one
- It is not the technical owner of bring-up or acceptance. Compute Engineering sets the NPI checklist and acceptance criteria; this role tracks and coordinates against them

## 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

- [Customer Support Engineer](https://feeny.ai/job/customer-support-engineer-the-san-francisco-compute-company-san-francisco-zje500wa86pa) — San Francisco, CA
- [Talent Acquisition Manager](https://feeny.ai/job/talent-acquisition-manager-the-san-francisco-compute-company-san-francisco-hqh524sqqs41) — 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
- [Director of GRC](https://feeny.ai/job/director-of-grc-the-san-francisco-compute-company-san-francisco-kf0m0gy72ws8) — San Francisco, CA
- [Compute Partnerships Manager](https://feeny.ai/job/compute-partnerships-manager-the-san-francisco-compute-company-san-francisco-zpz7j73v2gma) — San Francisco, CA
- [Staff Design Engineer](https://feeny.ai/job/staff-design-engineer-the-san-francisco-compute-company-san-francisco-ysj84b7g1kte) — San Francisco, CA
- [Deployment Manager](https://feeny.ai/job/deployment-manager-monumental-amsterdam-kcn50d8e4hxs) — Amsterdam, Netherlands