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Head of Engineering, Adyen Protect

Adyen · Amsterdam

New
Senior 🇬🇧 English
Machine Learning Distributed systems Data pipelines Real-time processing

Job description

About the role

Adyen Protect is an ML-first product suite that detects and mitigates payment fraud in real-time across billions of transactions. As Head of Engineering you will lead four high-impact engineering teams, shaping the technical roadmap and ensuring world-class protection for Adyen’s global merchants.

Key responsibilities

  • Define and execute the technical roadmap, aligning machine-learning capabilities with evolving e-commerce and regulatory needs.
  • Lead multidisciplinary teams to build scalable infrastructure for model training, real-time scoring and automated A/B experimentation at millisecond latency.
  • Establish engineering standards to deliver resilient, low-latency fraud detection systems that handle massive data volumes without downtime.
  • Partner with product, risk and business stakeholders to translate complex fraud patterns into robust technical features and automated mitigation strategies.
  • Mentor and grow a high-performing organization of engineers and managers, fostering an inclusive culture of rapid prototyping, ethical AI and continuous learning.
  • Engage with the world’s largest merchants to understand their risk profiles and provide granular control and insights.

Required profile

  • Deep enthusiasm for the full machine-learning lifecycle, from data engineering to model deployment and monitoring.
  • Proven track record leading complex engineering organisations, including manager-of-managers experience in high-growth fintech or SaaS.
  • Strategic problem-solver who balances immediate fraud mitigation with long-term reduction of false positives.
  • Technically fluent, comfortable discussing distributed systems, data pipelines and real-time processing architectures.
  • Excellent collaborator who can bridge technical and non-technical stakeholders.

Required skills

  • Machine Learning lifecycle expertise.
  • Distributed systems architecture.
  • Data pipelines and real-time processing.

Questions fréquentes

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Published 3 dagen geleden

Expires over 1 maand

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Adyen

Amsterdam