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 dashboard experiences and developer APIs to provide controls and insights for protecting businesses against payment fraud, card testing, bot abuse, and free trial abuse.

As a Product Manager on the Radar team, you will work directly with customers to understand emerging fraud and abuse attacks, identify important problems to solve, and turn those insights into product strategy and a roadmap. You will collaborate with customers, engineering, data science, design, and commercial teams to shape fraud detection and control capabilities as well as the user and developer experiences that deliver them.

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 product strategy and a roadmap, prioritizing defenses that deliver customer and business impact.
• Partner with engineering, data science, and design to explore signals, shape solutions, and turn effective defenses into scalable, reliable products.
• Scope products thoughtfully, prioritize effectively, and execute with high rigor.
• Work with sales, marketing, and customer-facing teams to validate demand, coordinate launches, and support customer adoption.
• Own product performance, user experience, and business metrics to guide iteration and communicate progress.

Requirements

• 8+ years of Product Management experience.
• Strong analytical skills and a rigorous approach to quantitative and qualitative evidence, including the ability to work with data, write SQL when needed, and define product metrics.
• 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 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.
• Ability to operate effectively with substantial ambiguity, make thoughtful trade-offs, and adapt as new evidence emerges.
• Technical fluency to collaborate with engineering and data teams on complex systems, understand constraints, and evaluate alternative approaches.
• Strong written and verbal communication skills.
• 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 supporting real-time decisions.
• Software engineering, data science, or similar technical experience.