This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
The Applied Gen(AI) team is a pioneering unit within Adyen’s Payments department, dedicated to leveraging (Generative) AI to transform how we work. The team builds intelligent systems that solve real-world payment complexities at scale. Currently, the team focuses on solving high-impact operational workloads and making critical information more accessible through intelligent automation. Looking ahead, this team is positioned to potentially evolve into a center of excellence, providing internal AI consulting and driving strategic AI initiatives across the entire company. As an Engineering Manager in this space, you will be an entrepreneurial leader tasked with contributing to the foundation of AI at Adyen. You will drive business outcomes by bridging the gap between cutting-edge AI capabilities and real-world payment operations, while fostering a high-performance culture of rapid iteration. You will be leading and growing an autonomous and experimental, small team of AI-engineers.
Job Responsibility:
Impact-Driven Leadership: Drive the team autonomously toward success by focusing on measurable business and organizational outcomes that reduce operational friction
Strategic Stakeholder Management: Effectively "manage up" and exercise influence across the organization to align AI initiatives with Adyen’s overarching vision
Formula Fit Execution: Champion the "Adyen Formula" by launching products fast and iterating based on real-world feedback to ensure constant value delivery
Product Discipline: Partner with product peers to lead prioritization and roadmapping, pragmatically balancing technical debt with the delivery of innovative AI features
People Management: Act as a dedicated mentor and coach to grow engineering talent. This role involves growing the team (hiring and headcount planning) and focusing on the development of the current team
Technical Guidance: Provide architectural direction for AI and software engineering projects, ensuring solutions are scalable, reliable, and secure. We expect a player-coach mindset, where you balance people management, strategy, architecture and hands-on work
Team Environment: Cultivate a culture of ownership, autonomy, and open communication where constructive feedback is the norm
Requirements:
2+ years of experience leading engineering teams
5+ years of hands-on experience in Software Engineering and AI development
Strong foundation in core Software Engineering (e.g. Java or Python)
Experience with deploying (Gen)AI/Machine Learning in production