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Tech Enablement Designer – Change & Adoption

Netherlands, Amsterdam · Job Posted May 03, 2026
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Job Description

We’re hiring a hands‑on Tech Enablement Designer who will sit close to Tech teams, understand how work really happens, and help them adopt the enablement, tools, and practices. This is a builder role focused on change and adoption - you’ll make it easier for engineers, PMs, and PX to adopt and improve ways of working, learn new skills and move through the change effectively.

Job Responsibility

  • Focus on helping Tech teams move from 'this is the new way we want to work' to 'this is how we do it at Adyen'
  • Partner with Tech enablement and Tech teams to understand how work is currently done
  • Turn enablement and expectations into clear, practical support for day‑to‑day use, launching different types of interventions
  • Plan and run change and adoption activities tailored to Tech
  • Set up and support peer‑to‑peer formats where teams share how they’ve adopted a new enablement or tool in practice
  • Run small adoption experiments
  • Use AI as a thought partner in your own work
  • Design and support upskilling interventions with Tech enablement
  • Shape future enablement and upskilling topics based on what teams actually need and run discovery work on a constant basis

Requirements

  • Experience helping Tech teams (Engineering, Product, PX) adopt new tools, practices, or ways of working – for example through internal enablement, change management, coaching, or learning design close to the work
  • Experience turning 'this is what we want to do' into clear, practical support: guides, templates, learning paths, FAQs, short explainers, or similar that fit into existing tools and routines
  • Hands‑on experience planning and running change and adoption activities (e.g. small group sessions, async explainers, pilots, or 'first‑time use' support) rather than only large training events
  • Comfortable using AI as a thought partner – to explore options, analyse feedback, create and refine interventions, and generate concrete examples or use cases
  • Ability to design and support upskilling interventions (e.g. learning sprints, targeted sessions, AI‑focused practice labs) that are simple, focused, and tied to real work and adoption
  • Strong written and verbal communication skills: you can explain changes in simple language, adapt the message to different Tech audiences, and handle questions and pushback
  • Used to working in an experiment‑driven way: you test different approaches, watch what teams actually use, and iterate based on feedback and simple adoption signals

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