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We are seeking a visionary and highly technical Head of Engineering to lead the development and scaling of Adyen Protect. Adyen Protect is our ML-first product suite designed to detect and mitigate payment fraud in real-time across billions of transactions. In this role, you will lead a specialized domain of four high-impact engineering teams dedicated to staying ahead of increasingly sophisticated global fraud networks. You will be the strategic driver behind our risk engine, ensuring that our ML models are not only accurate and performant but also transparent and actionable for the world's largest merchants. This is a role for a leader who thrives at the intersection of big data, predictive modeling, and high-availability systems. You will be responsible for ensuring that as Adyen grows, our ability to protect our merchants and their consumers remains world-class.
Job Responsibility:
Define and execute the technical roadmap for Adyen Protect, aligning Machine Learning capabilities with the evolving needs of global e-commerce and regulatory landscapes
Lead four multidisciplinary teams in building and maintaining scalable infrastructure for model training, real-time scoring, and automated experimentation (A/B testing) at the millisecond level
Establish and maintain high standards for engineering quality and reliability
Partner closely with Product Leaders, Risk officers, and other parts of the business to translate complex fraud patterns into robust technical features and automated mitigation strategies
Mentor and grow a high-performing organization of engineers and engineering managers
Interface with our largest global merchants to understand their unique risk profiles
Requirements:
7+ years of technical experience, including significant tenure as a hands-on software or machine learning engineer
5+ years of experience in manager-of-managers roles, overseeing multiple engineering teams
Proven track record of managing products that handle high-throughput, low-latency workloads (e.g., payments, cybersecurity, or real-time bidding)
Familiarity with fraud detection, risk management, or identity verification systems is highly preferred