Were 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 dont want to take on the risk that cluster developers cant repay their loan and cluster developers really dont want to risk not selling their cluster. As a result risk is offloaded to the customer using fixed-price long-term contracts.

If you dont mitigate this customer risk theres a bubble. This isnt 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 its 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 cant 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 thats what we make: a liquid market for GPU offtake.

About the Tooling Team

We are a small team focused on making SFCompute engineering faster more observable and more reliable. Our work spans data infrastructure developer experience pre-production environments and AI tooling but the common thread isnt any specific domain. Its that we find the problems nobody else owns and make them solved problems.

Everyone on this team wears many hats. Youll work across the stack collaborate with all parts of engineering and regularly take on problems that dont fit neatly into a job description. If you want a narrow scope and a clear ticket queue this team isnt it. If you want to have a large legible impact on a small team building serious infrastructure read on.

The Role

Were looking for a data-focused engineer to own and evolve our internal data infrastructure. Youll take over a lightweight but powerful OLTP-to-OLAP data pipeline and use it to define instrument and monitor the KPIs that matter most across the company.

If youve built data pipelines professionally whether under the title of Data Engineer Analytics Engineer or Software Engineer thats the background were looking for. This isnt a build dashboards and wait for requests role. Youll work closely with engineering operations and leadership to shape what we measure and why turning raw trading and infrastructure data into clear signals that drive decisions.

What Youll Do

• Own and extend our OLTP-to-OLAP data infrastructure

• Define and maintain company-wide and team-level KPIs revenue utilization reliability fulfillment rate and more

• Build and iterate on dashboards that surface actionable insight not just data

• Partner with engineers to instrument new product features from the start

• Investigate anomalies debug data quality issues and improve pipeline reliability

• Help establish data conventions and best practices as we scale

What Were Looking For

• Strong SQL and data modeling skills; you can write a complex analytical query without a framework

• Experience with ETL pipelines and columnar stores (DuckDB ClickHouse BigQuery or similar)

• A bias toward simple legible solutions over elaborate architectures

• Ability to drive ambiguous problems to clear outcomes; you can decide what to measure not just how

• Nice to have: experience with Rill or similar BI tooling; familiarity with marketplace or infrastructure business models

Why This Role

The data youll work with is genuinely unusual: GPU procurement volumes fulfillment rates trading engine output capacity utilization across bare-metal clusters. Nobody has standardized how to measure this stuff yet. The metrics you define will show up in weekly leadership reviews inform how we price and allocate capacity and tell us whether the business is working. Youll have direct access to leadership and the actual decision-making process.

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 Franciscos Fair Chance Ordinance and Californias ban-the-box laws.

If you require reasonable accommodation for any reason please reach out to us at

Required Experience:

IC