Product Manager - Fraud Risk / AML, Bridge

Stripe is creating an innovative payments platform that leverages stablecoins for global money movement. The Product Manager for Fraud Risk / AML will own the product surface for fraud prevention and compliance, working across teams to design adaptive risk systems that support the company's growth and safety.

Responsibilities:

• Own the end-to-end Fraud Risk / AML product surface, including transaction monitoring, fraud prevention, controls, limits, and escalation workflows
• Drive product features from ideation to launch in close collaboration with engineering, data, legal, compliance, and operations
• Design and evolve model-driven, AI-enabled risk systems that learn from new patterns, reduce friction, and improve decision quality at scale
• Translate complex regulatory, operational, and partner requirements into scalable, intuitive product solutions
• Build and execute a Fraud Risk / AML roadmap that supports global expansion, new corridors, higher volumes, and new customer use cases
• Balance automation and human-in-the-loop workflows to optimize for safety, speed, and operational efficiency
• Define and own key risk metrics (e.g. loss rates, false positives, review volume, time-to-resolution) and use them to guide prioritization and iteration
• Anticipate system failure modes and design controls that are resilient, observable, and adaptable
• Work closely with financial institutions and technology partners to ensure Bridge’s risk posture scales globally

Requirements:

• Product judgment for complex systems: You're comfortable reasoning across UX, data, models, ops, and regulation
• Strong risk intuition: You see risk as a product and systems problem — not just a policy or compliance function
• Comfort with AI-enabled products: You understand how real-time signals, models, and feedback loops can drive better decisions at scale
• Owner's mentality: You take responsibility for outcomes, not just feature delivery
• Bias toward clarity: You can simplify complex risk concepts into understandable decisions and experiences
• Collaborative instinct: You partner deeply across teams but can make the call when tradeoffs are hard
• Curiosity and adaptability: You learn quickly, iterate often, and adjust as new patterns emerge
• Own the end-to-end Fraud Risk / AML product surface, including transaction monitoring, fraud prevention, controls, limits, and escalation workflows
• Drive product features from ideation to launch in close collaboration with engineering, data, legal, compliance, and operations
• Design and evolve model-driven, AI-enabled risk systems that learn from new patterns, reduce friction, and improve decision quality at scale
• Translate complex regulatory, operational, and partner requirements into scalable, intuitive product solutions
• Build and execute a Fraud Risk / AML roadmap that supports global expansion, new corridors, higher volumes, and new customer use cases
• Balance automation and human-in-the-loop workflows to optimize for safety, speed, and operational efficiency
• Define and own key risk metrics (e.g. loss rates, false positives, review volume, time-to-resolution) and use them to guide prioritization and iteration
• Anticipate system failure modes and design controls that are resilient, observable, and adaptable
• Work closely with financial institutions and technology partners to ensure Bridge's risk posture scales globally
• 6–10+ years of product management experience, with exposure to risk, fraud, compliance, payments, fintech, or crypto
• Experience building or owning systems related to transaction monitoring, fraud detection, KYC/KYB, AML, or underwriting
• Familiarity with data- or model-driven decisioning systems, including automation and human-in-the-loop workflows
• Experience operating across multiple geographies, regulatory environments, or financial partners
• Comfort working with APIs, platforms, or infrastructure products