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San Francisco, California, United States
Onsite
About Wonderschool
Wonderschool's mission is to ensure every child has access to early education that helps them realize their full potential. We do this by helping providers - small business owners who run child care programs - start, operate, and grow their businesses with powerful software, coaching, and support. We also partner with governments to modernize the public child care system, including building the technology platform for a state agency responsible for licensing, subsidy, and provider data statewide.
We are a Series B company backed by Andreessen Horowitz, Goldman Sachs, Long Journey Ventures, and First Round Capital. The business is cash flow positive and expanding that position.
A core part of our strategy is using AI to automate how work gets done across the company. Our agents already operate across product, engineering, operations, and go-to-market. The bottleneck is no longer the agents. It is the data underneath them.
About the Role
We are hiring a Data Lead to build the data foundation the whole company runs on: our commercial product, our government platform, and the AI agents that coach and support providers at scale.
This is a deeply hands-on role. You will write SQL, ship models, load data, and debug pipelines yourself every day. You will own two things that are really one problem: a single, trusted model of our providers, children, and families, and the delivery of state-mandated data work (Data Hub integration, legacy migration, identity resolution) for our government partners.
You will use AI agents heavily to do this work. We run Claude Code, Hermes, and OpenClaw across the company, and we expect you to multiply your output with them. We stay small on purpose and hire only when the work demands it.
Get this right and every agent, dashboard, and coaching interaction gets smarter. This role reports directly to the CEO.
What You'll Do
What Success Looks Like
Who You Are
You have been the first or early data hire at a startup and you have also shipped data work in a regulated environment, govtech, healthtech, or fintech, where governance, masking, and audit trails are table stakes. You are as comfortable writing a dbt model as you are working through a data governance agreement with a state counterpart. You have real scar tissue from entity resolution and dedup work. You already use AI agents as a daily part of how you work, you understand what makes data legible to an LLM, and you figure things out independently. You are happiest as a team of one or two and would rather automate a task than hire around it. You want to build the system, not inherit one.
Location
Why Join Us
