Product Manager, Radar - Fraud and Abuse Prevention

Stripe’s Radar team builds fraud and abuse prevention products for businesses. The Product Manager will work with customers and cross-functional teams to shape strategy and roadmaps for detection, controls, and user and developer experiences, and guide product launches and performance.

Responsibilities:

• Develop a deep understanding of the fraud and abuse landscape
• Investigate emerging attacks with customers, assess their financial and operational impact, and distinguish isolated incidents from opportunities to build broadly useful defenses
• Translate findings into a product strategy and roadmap, prioritizing the defenses that deliver the greatest customer and business impact
• Partner with engineering, data science, and design to explore signals, shape solutions, and rapidly turn effective defenses into scalable, reliable products
• Set the pace for the team by scoping the product thoughtfully, prioritizing ruthlessly, and executing with high rigor
• Work with sales, marketing, and customer-facing teams to validate demand, coordinate launches, and help customers adopt and maximize the value they get from new capabilities
• Own product performance, user experience, and business metrics to guide iteration and communicate progress

Requirements:

• 8+ years of Product Management experience
• Highly analytical, with a rigorous approach to quantitative and qualitative evidence. You're comfortable digging into data, writing SQL when needed, and defining metrics that connect product decisions to user outcomes
• Scrappy and resourceful, with experience taking products from zero to one. You find ways to test ideas quickly, learn from real users, and turn early solutions into products that scale
• Strong commercial and business acumen. You understand how customer problems translate into willingness to pay, adoption, and durable business value
• Proven cross-functional leadership, including experience partnering with B2B sales teams on customer discovery, product positioning, and adoption
• Experience shipping Dashboard and API products, with empathy for both end users and developers and an understanding of their different workflows
• Comfort with substantial ambiguity. You can set direction with incomplete information, make thoughtful trade-offs, and adapt as new evidence emerges
• Technical fluency to go deep with engineering and data teams on complex systems, understand constraints, and evaluate alternative approaches
• Strong written and verbal communication skills, with a talent for distilling complex customer problems into precise, actionable framing
• An ownership mindset and a high bar for product quality. You do what it takes to solve user problems and care deeply about the details of the experience
• Experience building fraud prevention, risk, security, or ML powered products
• Experience developing machine learning powered products and evaluating trade-offs between detection effectiveness and customer friction
• Experience building tools for fraud analysts or risk teams, or developer products that support real-time decisions
• Software engineering, data science, or similar technical experience