Product Manager, Fraud & Abuse Radar (ML-Powered)

Stripe, Inc.; Oregon; Hybrid; USD 140,000 - 210,000; Full time

Job summary

Stripe, Inc. Radar team is seeking an experienced Product Manager to help prevent fraud and abuse across our ecosystem.

You will work closely with customers to define problems and shape strategy and a roadmap for Radar's fraud detection and control capabilities, along with developer experiences. You'll collaborate with engineering, data science, design, and sales to deliver scalable, reliable products while maintaining a bias for speed, quality, and user-centric design.

Qualifications

• 8+ years of Product Management experience.
• Strong analytical skills with data-driven decision making; SQL when needed.
• Scrappy, resourceful, with zero-to-one product experience.
• Strong commercial acumen translating problems into value.
• Experience shipping Dashboard and API products with end-user and developer empathy.
• Comfort with ambiguity; set direction with incomplete information.
• Excellent written and verbal communication skills.

Responsibilities

• Understand the fraud and abuse landscape through customer insights and data.
• Translate findings into a product strategy and roadmap.
• Collaborate with engineering, data science, and design to build solutions.
• Define scoping, prioritization, and execution with high rigor.
• Coordinate launches with sales, marketing, and customer teams.
• Measure product performance and guide iteration.

Skills

Product Management

Data analysis

SQL

Cross-functional leadership

Metrics-driven

Communication

Strategic thinking

Job description

Stripe, Inc. Radar team is seeking an experienced Product Manager to help prevent fraud and abuse across our ecosystem.

You will work closely with customers to define problems and shape strategy and a roadmap for Radar's fraud detection and control capabilities, along with developer experiences. You'll collaborate with engineering, data science, design, and sales to deliver scalable, reliable products while maintaining a bias for speed, quality, and user-centric design.