Software Engineer — ETL & Data

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.

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 isn't any specific domain. It's that we find the problems nobody else owns and make them solved problems.
Everyone on this team wears many hats. You'll work across the stack, collaborate with all parts of engineering, and regularly take on problems that don't fit neatly into a job description. If you want a narrow scope and a clear ticket queue, this team isn't it. If you want to have a large, legible impact on a small team building serious infrastructure, read on.

We're looking for a data-focused engineer to own and evolve our internal data infrastructure. You'll 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 you've built data pipelines professionally — whether under the title of Data Engineer, Analytics Engineer, or Software Engineer — that's the background we're looking for. This isn't a "build dashboards and wait for requests" role. You'll 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.

• 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

• 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

The data you'll 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. You'll have direct access to leadership and the actual decision-making process.

Team members are offered a competitive salary along with equity in the company

Yes, we sponsor visas and work permits

We match 401(k) plans up to 4%

We offer competitive medical, dental, vision insurance for employees and dependents and cover 100% of premiums

We offer unlimited paid time off as well as 10+ observed holidays

We offer biological, adoptive, and foster parents paid time off to spend quality time with family

We cover lunch daily for employees

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.

If you require reasonable accommodation for any reason, please reach out to us at [email protected]