AI Code Editor · San Francisco
Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.
Cursor reached $2B in annualized revenue in early 2026, doubling in three months. The billing and fraud surface area is growing just as fast. New plan tiers, usage-based pricing for agents and compute, enterprise contracts, student grants, and an expanding attack surface for abuse—all of this needs to work reliably, scale cleanly, and be fair to users.
As a Product Manager for Billing & Fraud, you will own the systems that handle pricing, payments, usage metering, subscription management, and fraud prevention. Every decision here directly impacts revenue, user trust, and operational efficiency.
This role requires someone who can think about pricing strategy at the business level and debug a Stripe webhook failure at the technical level. You'll work across payments infrastructure, usage analytics, and fraud detection—bridging engineering, finance, legal, and operations.
Designing and evolving the pricing and packaging model as the product surface area expands: new plan tiers, usage-based pricing for cloud agents and compute, enterprise billing, and promotional programs.
Building fraud and abuse detection systems: risk scoring, policy engines, enforcement pipelines. Reducing fraud losses while minimizing false positives that hurt legitimate users. As agents become more autonomous, the abuse vectors change—you'll stay ahead of them.
Owning the usage and limits experience: credits, metering, plan limits. Making them transparent, fair, and easy to understand for individual developers and enterprise billing administrators.
Designing the grants and promotions system: student programs, startup credits, partner deals, trial flows. These should drive adoption without creating exploitable attack surfaces or unsustainable cost structures.
Building internal data tools around revenue and fraud: dashboards, attribution systems, reporting. Leadership uses these to make decisions about pricing, conversion, churn, and fraud loss.
Working with finance, legal, and operations on billing accuracy, revenue recognition, dispute handling, and audit requirements.
Evolving the Stripe integration: subscriptions, invoicing, metering, webhooks, dispute handling, and the daily jobs that keep billing running at scale.
You have owned billing, payments, pricing, or fraud systems at a high-growth SaaS or usage-based product.
You understand Stripe deeply—subscriptions, invoicing, metering, dispute handling—and have opinions about what works and what doesn't.
You can think about pricing at the business level while also debugging a failed webhook at the technical level.
You have experience with fraud and abuse prevention—risk scoring, policy engines, enforcement workflows—or a strong desire to build expertise here.
You are highly analytical and comfortable building business cases, running pricing experiments, and interpreting complex usage data.
You can translate between business requirements and technical implementation across finance, legal, operations, and engineering.
You move fast, communicate clearly, and are comfortable owning high-stakes decisions that directly impact revenue.
If there appears to be a fit, we'll reach out to schedule 2-3 interviews. After, we'll schedule an onsite in our office, where you'll work on a small project, discuss ideas, and meet the team.