Product Manager, Radar - Fraud and Abuse Prevention

Details

Radar helps businesses prevent fraud and abuse without getting in the way of legitimate customers. The team combines machine learning powered by Stripe’s global network with intuitive dashboard experiences and developer APIs to provide comprehensive controls and insights against threats including payment fraud, card testing, bot abuse, and free-trial abuse.

The role focuses on understanding emerging fraud and abuse attacks, identifying effective defenses, and making sophisticated fraud prevention simple for businesses.

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 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.
• Scope the product thoughtfully, prioritize effectively, and execute with high rigor.
• Work with sales, marketing, and customer-facing teams to validate demand, coordinate launches, and help customers adopt and maximize the value of 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; comfortable analyzing data, writing SQL when needed, and defining metrics that connect product decisions to user outcomes.
• Resourcefulness and experience taking products from zero to one, testing ideas quickly, learning from users, and scaling early solutions.
• Strong commercial and business acumen, including an understanding of 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 end users and developers and an understanding of their different workflows.
• Comfort with substantial ambiguity and the ability to set direction with incomplete information, make thoughtful trade-offs, and adapt as new evidence emerges.
• Technical fluency to work deeply with engineering and data teams on complex systems, understand constraints, and evaluate alternative approaches.
• Strong written and verbal communication skills, with the ability to distill complex customer problems into precise, actionable framing.
• An ownership mindset and a high bar for product quality.

Preferred Qualifications

• Experience building fraud prevention, risk, security, or machine-learning-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.