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Engineering Manager, Machine Learning - Fraud Detection & Prevention

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Adyen

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Location:
Netherlands , Amsterdam

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

Lead the team that develops and owns the machine-learning behind Adyen Protect: our mission-critical, real-time, machine learning-powered fraud engine that saves merchants millions of dollars by detecting and stopping fraud in real-time, globally. It acts as the shield for the world's fastest-growing businesses, ensuring a seamless checkout experience is never compromised by risk. It is also the cornerstone of Adyen Uplift, a powerful AI product suite to optimize holistically for conversion, fraud and cost that is used by many of Adyen’s customers today.

Job Responsibility:

  • Lead the Fraud Detection & Prevention team with hands-on technical leadership, driving architecture strategy and raising the bar through active mentoring and technical guidance
  • Work cross-functionally with Design, Product, Data Engineers, Machine Learning Engineers, Developers and other key stakeholders
  • Have a multiplier effect by motivating team members and providing coaching in areas including but not limited to: engineering best practices, scalable architecture design, product roadmap discussions
  • Maintain an inclusive team culture focused on autonomy, ownership, collaboration, communication, and impact
  • Collaborate with different teams to design and implement new services with reliability/infra/data/dev in mind
  • Set clear individual and team goals that align with our strategic engineering ambitions in close collaboration with the product manager
  • Create an inspiring and collaborative team environment with an open communication/feedback culture
  • Recruit new team members who align with the Adyen culture and required skills

Requirements:

  • 2+ years experience in managing machine learning engineering teams within a mission-critical environment
  • 7+ years of experience in a ML/AI tech environment
  • affinity to the Protect or Fraud Detection & Prevention domain
  • proven experience working with, and deep understanding of machine learning products
  • energetic self-starter experienced in creating alignment between multiple teams
  • able to define, implement and monitor performance to quickly identify opportunities for improvement in existing systems
  • experience in coaching and mentoring engineering talent
  • experience in leading technical projects in a fast paced and critical environment
  • experience collaborating with senior leadership to set strategic direction including product roadmaps
  • excellent communicator and team player who can inspire others around them
  • can clearly communicate technical concepts to non-engineers

Additional Information:

Job Posted:
March 05, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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