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Senior$49M raised
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 pr…
Skills: SQL, Data modeling, Data governance, Entity resolution, Deduplication
San Francisco, California, United States · Remote OK
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Senior+$50M raised
Overview Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and…
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San Francisco, California, United States · On-site
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Technician, Ride & Show Maintenance - Universal Kids Resort
San Francisco, California, United States · On-site
Mid level
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San Francisco, California, United States · On-site
Senior$24M raised
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San Francisco, California, United States · On-site
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Mid level
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San Francisco, California, United States · On-site
Mid level
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San Francisco, California, United States · On-site
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Mid level$1.2B raised
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San Francisco, California, United States · On-site
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San Francisco, California, United States · On-site
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Mid level
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River Markets - Founding Engineer - San Francisco, CA
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$140k–$200k/yr
Mid levelVisa sponsorship
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Maintenance Technician in Napa Valley Region - Relocation Assistance Available
San Francisco, California, United States · On-site
$34/hr–$44/hr
Mid level
Founded in 1985, ATS is a company with a presence in the United States, Mexico and the United Kingdom. We are professionals in Industrial Maintenance and we make factories run better. Fundada en 1985, ATS es una empresa …
About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative …
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
Full-time
Series B company backing, Direct access to CEO, Impactful work
Posted 16h ago
~40 hrs/week
Responsibilities
You will build the canonical data model and foundation for the company's commercial product, government platform, and AI agents. This involves hands-on work with SQL, data pipelines, identity resolution, and ensuring data quality across various systems.
Requirements
The ideal candidate has experience as an early data hire in a regulated environment like govtech, healthtech, or fintech. You must be proficient in data modeling, governance, and using AI agents to automate workflows independently.
Full job description
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
Build the canonical data model for providers, sites, children, and families across BigQuery, HubSpot, Stripe, and our product databases. One ID, one definition, one source of truth
Structure our data so AI agents can read it and act on it: entity tables, snapshots, and pre-computed briefings that power provider coaching at scale
Own data delivery for our state government platform: bi-directional Data Hub sync, historical licensing data migration, staging-to-prod loads, validation, and governance sign-off
Lead identity resolution and deduplication across legacy state systems so every provider and child has one accurate record
Define and document the metrics the business runs on, from "active provider" to churn risk, and make them self-serve for operations and provider success teams
Set the data quality bar: monitoring, alerting, lineage, and handling of sensitive data in line with government agreements
Use agents to automate your own workflows first, then help other teams do the same with their data questions
What Success Looks Like
State data loads pass validation and acceptance without heroics
Zero duplicate-provider incidents across our systems and the state's
Anyone in the company can answer "how is this provider doing" in one query, and so can an agent
Agents deliver accurate, personalized coaching to a pilot cohort of providers, validated by our provider success team
Metrics stop being debated in meetings because definitions are documented and trusted
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
San Francisco, California - in-person, 5-6 days a week in our office in Rincon Hill
Why Join Us
Founding data hire with direct access to the CEO and a mandate to build from zero
Your work powers both a government platform serving a state's child care system and AI agents coaching thousands of small business owners
Small, fast-moving team that values action over process
Real data, real stakes: government agencies, child care providers, parents, and teachers all depend on what you build
Related keywords
Data LeadSQLBigQueryHubSpotStripeData ModelingAI AgentsData GovernanceEntity ResolutionDeduplicationData PipelinesGovtechFintechdbtData HubIdentity Resolution
Wonderschool is an AI-powered marketplace solving the child care crisis by connecting governments, providers, parents, teachers, and nonprofits on one integrated platform.
There is a nationwide shortage of child care and preschool options, and we believe one of the most effective ways to expand access is by helping teachers and caregivers start and grow successful programs—especially home-based child care businesses.
For providers, Wonderschool offers comprehensive support to launch and operate high-quality programs. We assist with licensing, classroom setup, pricing strategy, website creation, enrollment support, daily operations, and more. Our platform is designed to let educators focus on what they do best: caring for and educating children.
For governments, we offer AI-powered tools to help manage and expand early education ecosystems. Our technology helps states and municipalities identify child care deserts, support local providers, increase quality, and ensure families can access programs that meet their needs. By unifying data, services, and funding mechanisms, we help public agencies scale solutions effectively and equitably.
We are proud to partner with leaders across sectors—from families and educators to policymakers and nonprofits—to create a future where every child has access to early learning.
Wonderschool is backed by Andreessen Horowitz, Goldman Sachs, First Round Capital, Lerer Ventures, Imaginable Futures, and Long Journey Ventures.
Offices: San Francisco, CA, US
Government SoftwareChild Care Provider SoftwareChild Care Marketplaceand Substitute Teacher MarketplacePrimary EducationEducationEdTechParentingChild Care
How much do Engineering jobs in San Francisco, CA pay?
Based on 2748 listings with disclosed salaries, most engineering jobs in San Francisco, CA pay between $130k–$285k per year. Individual offers vary with seniority, company size, and specialization.
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