Product Manager, Radar - Fraud and Abuse Prevention

Stripe • Seattle, WA

1d

About The Position

As a Product Manager on Stripe’s Radar team, you will work directly with customers to understand emerging fraud and abuse attacks, identify the most important problems to solve, and turn those insights into product strategy and a roadmap. You will collaborate across customers, engineering, data science, design, and commercial teams to shape products and bring them to market. Your work will span Radar’s fraud and abuse detection and control capabilities, as well as the user and developer experiences that make those capabilities accessible to customers. The role calls for urgency as threats evolve, while maintaining reliability, craft, and attention to detail.

Radar helps businesses prevent fraud and abuse without disrupting legitimate customers. It combines machine-learning-powered capabilities based on Stripe’s global network with dashboards and developer APIs, providing controls and insights to address threats such as payment fraud, card testing, bot abuse, and free-trial abuse.

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.
• Resourceful and experienced taking products from zero to one, testing ideas quickly, learning from real users, and scaling early solutions.
• Strong commercial and business acumen, including understanding how customer problems translate into willingness to pay, adoption, and durable business value.
• Proven cross-functional leadership, including 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.
• Comfortable working with substantial ambiguity, setting direction with incomplete information, making thoughtful trade-offs, and adapting to new evidence.
• 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, including the ability to turn complex customer problems into precise, actionable framing.
• Ownership mindset and high bar for product quality, with a strong focus on solving user problems and product details.

Nice To Haves

• 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.

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 customer and market findings into product strategy and a roadmap, prioritizing defenses with the greatest customer and business impact.
• Partner with engineering, data science, and design to explore signals, shape solutions, and turn effective defenses into scalable, reliable products.
• Set the pace for the team through thoughtful scoping, rigorous execution, and ruthless prioritization.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed