Senior Manager, Application EngineeringPosted today

The opportunity

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.

What you'll do

  • Strategy & Roadmapping: Establish the team’s short- and medium-term vision. Synthesize requests from across the business, balance priorities against capacity, and transparently communicate trade-offs to stakeholders.

  • Project Delivery: Guide projects end-to-end—from scoping and planning through delivery and rollout—establishing clear milestones, ownership, risk management, and progress reporting.

  • Platform Operations: Coordinate and execute tool launches, migrations, and platform enhancements across a global workforce, incorporating effective change management, communication, and training.

  • Governance & Reliability: Maintain a secure, reliable, and scalable SaaS ecosystem, partnering with Security and Enterprise Access Management on identity, access governance, and data protection controls.

  • Automation & AI Innovation: Champion the team’s automation and AI roadmap in partnership with our Forward Deployed Engineering team, integrating agentic workflows that reduce friction for both your team and end users.

  • Vendor Partnerships: Oversee SaaS vendor relationships, licensing strategies, and contract renewals.

What they're looking for

  • Proven Leadership: Demonstrated background leading engineering teams focused on internal tooling, enterprise applications, or digital workplace platforms
  • Execution & Delivery: Skilled in complex project management—proficient at estimating, tracking, and shipping parallel initiatives while keeping distributed stakeholders informed.
  • SaaS Domain Expertise: Practical experience operating and scaling enterprise collaboration platforms (e.g., Atlassian suite, Slack Enterprise Grid, Google Workspace, Zoom).
  • Technical Foundation: Solid architectural understanding of productivity and enterprise platforms, enabling you to make sound technical trade-offs and evaluate engineering solutions.
  • Pragmatic AI Adoption: Familiarity with implementing internal AI/LLM-enabled workflows and a practical perspective on deploying them safely and effectively.
  • Security Awareness: A security-first mindset with familiarity handling identity and access management (IAM), data privacy, and compliance requirements in a regulated environment.
  • Collaborative Communication: Clear, empathetic communication style across all levels—able to build alignment with technical teams, non-technical partners, and senior leadership, including navigating competing priorities constructively.