Senior Product Manager, Identity & Risk Intelligence

Skills this role screens for

About the role

This is Adyen

Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition.

For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.

Also

The opportunity

We are seeking a Senior Product Manager to lead our Anti-Money Laundering (AML) detection product within Identity & Risk Intelligence. Financial crime keeps getting more complex, and as Adyen expands into new products and markets, our detection needs to scale with it - without becoming a bottleneck for growth.

This role needs a Product Manager who can take a clear strategy and drive it to execution, make strong trade-offs, and build trust with Compliance and other senior stakeholders. You need a track record of building ML-driven products in a regulated environment. You'll lead a team of Data Scientists, Data Analysts and Backend Engineers, and work closely with Compliance, Operations and other product teams.

The work

What you'll do

• Risk Detection & ML Modeling: Lead the build and scaling of Machine Learning models, rules and risk signals that detect financial crimes across Adyen's products, markets and customer base.
• Scalable, Self-Service Detection: Move financial crime detection toward a self-service framework that picks up new typologies quickly, using ML, GenAI and agentic approaches to reduce manual effort and keep pace with Adyen's growth without adding headcount.
• Strategy Execution & Prioritization: Own the execution of the financial crime detection strategy. Prioritize ruthlessly, make data-driven trade-offs, and stop or descope work when the evidence shows it is not worth pursuing.
• Compliance & Regulatory Partnership: Act as the main product partner for Compliance. Translate regulatory expectations into clear product boundaries, agree how the team delivers within them, and demonstrate continuous improvement to regulators.
• Performance & Effectiveness: Define how detection quality and efficiency are measured in a domain where the ground truth is often unknown, and continuously improve signal quality for our Investigations team.
• Cross-Functional Leadership: Lead a team of Data Scientists, Data Analysts and Backend Engineers alongside your engineering lead, and keep Compliance, Operations, and other risk teams aligned on the roadmap.

Who they want

Who you are

Diversity, Equity, and Inclusion at Adyen

We actively seek different perspectives to sharpen our ideas. Our unique culture is a product of our diverse backgrounds and experiences. No matter who you are or where you’re from, you’re welcome to be your true self at Adyen.

If you need accommodations or support during the recruitment process to perform at your best, you’ll have the opportunity to let our team know in your application. We encourage people from all backgrounds and abilities to apply.

What’s next?

Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.

This role is based out of our Amsterdam office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

• Experience: 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.
• ML Product Expertise: Proven track record of owning and scaling ML-driven products such as detection, scoring or risk models. Comfortable going deep with Data Scientists on model performance, evaluation and trade-offs.
• Regulated Environment: Experience building products in highly regulated environments such as payments, banking or fintech, with a solid understanding of how regulation shapes product decisions.
• Stakeholder Management: Strong influence with senior and opinionated stakeholders, especially Compliance, Legal and Risk. Able to hold a position, explain the reasoning and keep their trust.
• Decision-Making: Clear, data-driven trade-offs and the confidence to say no. Comfortable owning outcomes without a single clean success metric.
• Ownership: Highly autonomous and accountable, able to take an agreed strategy and drive it through execution.