Learning Experience Designer (LXD)

This is not your typical Learning Experience Designer (LXD) role. We are building the future of vendor education at Amazon - designing AI-native learning solutions that help thousands of vendors across Europe succeed on our platform. Our team doesn't build courses and hope vendors find them. We design intelligent, data-informed learning experiences embedded directly where vendors work - surfacing the right content, to the right vendor, at the right moment.

The LXD will work at the intersection of learning theory, instructional design, product thinking, and AI to create solutions that scale across multiple marketplaces and languages. Day to day, you will design and produce learning content (eLearning modules, videos, playlists, job aids) while increasingly shaping how that content is structured, delivered, and personalized through AI and platform integration. You will use vendor to inform what you design and measure whether it works.

We need someone who is curious about technology, comfortable with ambiguity, and energized by solving for learning gaps in ways that have not existed before. If you want to push e-learning modules through a traditional ADDIE pipeline each week, this isn't the role for you. If you want to design AI-native learning solutions that directly reduce vendor errors, accelerate their growth, and drive measurable business impact then read on.

Key job responsibilities

• Design and develop across multiple modalities: eLearning, video, job aids, playlists, and in-tool embedded content.
• Apply design judgment to determine the right solution for each problem. Recommend the format, modality, and channel that will drive the most impact with the least friction.
• Translate complex vendor processes into clear, accessible learning content for a diverse, multilingual audience across European marketplaces.
• Design learning products: embedded contextual guidance, adaptive paths, modular components, not just standalone courses.
• Work with AI as the default, not an add-on. Use generative AI to draft, iterate, localize, and scale content.
• Structure content for machine consumption: create modular assets with clear metadata so they can be surfaced by AI tools, chatbots, and platform surfaces.
• Experiment continuously. Evaluate emerging AI tools and workflows and bring proposals to the team.
• Inform requirements for how educational content integrates with Vendor Central, working with central tech teams.
• Manage multiple concurrent projects from needs analysis through launch and iteration.
• Facilitate scoping sessions with SMEs. Drive efficient review cycles that maintain quality without unnecessary bottlenecks.
• Drive adoption, continuous improvement, and maintain content freshness across your portfolio. Own the quality bar for everything you ship.