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Senior Product Manager, Identity & Risk Intelligence

Adyen - Amsterdam, North Holland, Netherlands - In-office - posted 2026-10-19

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Adyen is seeking a Senior Product Manager to lead the Anti-Money Laundering (AML) detection product within the Identity & Risk Intelligence division. Financial crime is becoming increasingly complex, and as Adyen expands into new products and markets, detection capabilities must scale without becoming a growth bottleneck. In this role, you will own the strategy and execution of financial crime detection across Adyen's platform, serving customers like Meta, Uber, H&M, and Microsoft. You'll lead a cross-functional team of Data Scientists, Data Analysts, and Backend Engineers, working closely with Compliance, Operations, and other product teams. Key responsibilities include: • Building and scaling Machine Learning models, rules, and risk signals to detect financial crimes across Adyen's products, markets, and customer base • Designing a self-service detection framework that leverages ML, GenAI, and agentic approaches to reduce manual effort and scale without proportional headcount growth • Owning execution of the financial crime detection strategy with ruthless prioritization and data-driven trade-offs • Serving as the primary product partner for Compliance, translating regulatory expectations into clear product boundaries and demonstrating continuous improvement to regulators • Defining how detection quality and efficiency are measured in a domain where ground truth is often unknown, continuously improving signal quality for the Investigations team • Leading cross-functional alignment on roadmap and strategy across Compliance, Operations, and risk teams This is an office-first role based in Amsterdam with a focus on in-person collaboration. Requirements: • 8+ years of Product Management experience building ML-driven, high-scale products in fast-growing tech or fintech environments • 2+ years of experience in AML, fraud detection, or financial crime • Proven track record of owning and scaling ML-driven products (detection, scoring, risk models); comfortable going deep with Data Scientists on model performance, evaluation, and trade-offs • Experience building products in highly regulated environments (payments, banking, fintech) with solid understanding of how regulation shapes product decisions • Strong influence with senior and opinionated stakeholders, especially Compliance, Legal, and Risk; able to hold a position, explain reasoning, and maintain trust • Clear, data-driven decision-making with confidence to say no; comfortable owning outcomes without a single clean success metric • Highly autonomous and accountable; able to take an agreed strategy and drive it through execution

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