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
Optimize the SDLC: Drive initiatives to reduce SDLC friction, such as reducing CI flakiness and improving build insights, to help teams shift from centralized, manual processes to systemic, automated "golden paths".
Drive Product Maturity: Take ownership of product lifecycle management by assessing the maturity of our toolset, executing on necessary deprecations, and ensuring our core products have clear adoption paths and value propositions.
Build Technical Context: Partner with IDP engineering to bridge the gap between generic AI models and Adyen’s complex architecture. You will prioritize the rollout of AGENTS.md standards, internal RAG pipelines, and Model Context Protocol (MCP) servers for tools like GitLab and Jira.
Foster Developer Autonomy: Work across the organization to bridge the gap between infrastructure and developer needs, building "LEGO-block" style abstractions that allow teams to own their pipelines and release cycles while maintaining secure, compliant guardrails.
Validate ROI & Manage Vendors: Implement data-driven feedback loops to track adoption and measure SDLC improvements against core metrics like DXI, Change Failure Rate, and developer velocity
+ years of product experience ideally within Platform Engineering, Developer: Experience (DevEx), or AI-enabled technical products.
What they're looking for
- You are technically credible. You can confidently spar with engineers about: system architecture, CI/CD pipeline constraints, and the balance between centralized governance and team autonomy.
- You are a master of change management. You know how to influence developer: habits and drive adoption in highly opinionated technical environments.
- You are data-driven, capable of translating subjective developer feedback and: system/usage data into clear impact metrics.
- You thrive in ambiguity. You can execute quickly without waiting for perfect: information and adapt quickly to new information
