Product Manager, Payments

Wonderschool•San Francisco, CA

16h•$140,000•Hybrid

About The Position

Wonderschool is solving one of the most critical market problems in the U.S.: childcare access and affordability. We’re building an AI-powered platform that enables providers to operate financially sustainable childcare businesses at scale. We’ve raised over $50M from Andreessen Horowitz, Goldman Sachs, and other top investors, and are a Series B company focused on product growth and operational leverage. As Product Manager for Fintech & Payments, you will own core financial products that drive usage, revenue, and profitability. You’ll move fast, identify and ship high-leverage product improvements, and create tools that providers prefer over any alternative. This role is ideal for someone with strong product instincts, a builder’s mindset, and a clear focus on measurable business impact.

Requirements

Strong product judgment and an instinct for what users want
Background as a software engineer or ability to work deeply with engineering teams
Experience with payments, fintech, or in a high-bar finance role (e.g., investing, banking)
Proven track record of delivering 0→1 products that generate measurable financial results
Strong analytical thinking; can model impact and drive decisions with data (SQL or similar is a plus)
Extreme ownership and urgency — ships fast, iterates constantly, and fixes broken experiences
Bias toward outcomes — knows how to set and hit aggressive goals
Interest in small business empowerment, with a preference for those who’ve built or supported business owners
Based in San Francisco, with the ability to work in-office 3–5 days/week

Responsibilities

Lead product development for tuition payments and other provider-facing financial tools
Grow total payments volume, product adoption, and net revenue
Improve provider NPS and reduce friction across the billing experience
Drive profitability and improve unit economics through product and pricing strategy
Work end-to-end with engineering, design, and data to ship features weekly
Talk to providers every week and turn insights into product decisions
Use modeling, experimentation, and data to drive prioritization and iteration
Scale internal workflows and product surfaces using AI and automation tools