About the role
About Factory
Our mission is to create a world where software builds and improves itself.
We build the platform for self-improving software development, helping the world's largest enterprise engineering teams turn their organizations into autonomous software factories. Customers including Nvidia, Blackstone, Royal Bank of Canada (RBC), Palo Alto Networks, Adobe, and T-Mobile run Factory to ship code, review PRs, run tests, and deploy continuously - getting smarter with every cycle.
In 2026, we raised $200M at a $5B valuation, bringing our total funding to over $400M. We are backed by world-class investors and operators including Khosla Ventures, Sequoia, Blackstone, Ali Ghodsi (CEO of Databricks), and Frank Slootman (Former CEO of Snowflake).
About the Role
Factory is bringing autonomy to software engineering, and we’re hiring a Data Engineer to own the systems that power how we understand and operate the business. You’ll architect and evolve the full data stack, designing the pipelines, models, and integrations that turn raw information into reliable, real-time insight across product, engineering, finance, and GTM.
What you will do and achieve
- Build and refine the data models and warehouse architecture that serve as the backbone for product analytics, usage reporting, and business operations.
- Design, operate, and scale the pipelines that move, transform, and validate data across internal and external systems.
- Create the integrations that bring third-party and operational data into a unified, trusted environment.
- Own the entire reporting surface at Factory, from core datasets and dashboards to the metrics leadership uses to steer the company.
- Drive data quality, observability, governance, and documentation while helping teams adopt a self-serve analytics culture.
Qualifications
- 4+ years of experience in data engineering or a full-stack data role with deep expertise in SQL and strong proficiency in JavaScript or Python.
- Hands-on experience with data modeling, warehouse architecture, and BI-oriented schema design, along with operational familiarity using tools like dbt, Airflow, or Dagster.
- Experience supporting or building business intelligence environments.
- Strong statistical intuition and experience running or supporting experimentation frameworks.
This is an in-office position (5 days/week) in San Francisco (walking distance to Caltrain)
About Factory
Factory is the platform for agent-driven software development. Factory accelerates development by unifying all of your engineering context (from GitHub, Google Drive, Linear, Slack, Sentry, etc.) and empowering product and engineering teams to delegate tasks to agentic systems. With a shared memory graph, teams use Factory to accelerate everything from feature development, to migrations, and more.
Leading organizations like MongoDB, Framer, Empower, Zapier, and Eightfold AI use Factory to automate parts of the software development lifecycle. Factory is backed by top-tier investors, including a $15 million Series A round Led by Sequoia Capital
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Job details
Location
San Francisco, CA
Funding
Total raised
$220M
Last stage
Series C
Investors
What happens next.
No applications, no recruiter spam. Just the intro.
Confirm the fit
A few questions to make sure this role is the right shape for you. Two minutes.
I pitch you to the company
I write the intro, send it to the founder, and handle the back-and-forth.
A meeting lands on your calendar
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.