Engineering Manager: Applied (Gen) AI - Payments at Adyen

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.

Engineering Manager: Applied (Gen)AI - Payments

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.

What you'll do

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.

Who you are

Experienced Leader: You have 2+ years of experience leading engineering teams and 5+ years of hands-on experience in Software Engineering and AI development.

Entrepreneurial Self-Starter: You are a dynamic individual who thrives in fast-paced environments, capable of driving initiatives from ideation to completion with minimal oversight.

Technical Background: You possess a strong foundation in core Software Engineering (e.g. Java or Python) and have experience with deploying (Gen)AI/Machine Learning in production.

Product Mindset: You think in terms of user needs, scalability, and long-term vision for payment and billing solutions.