Classic 'show me you care about impact' question.
Show that you prioritize customer impact and quick learning by focusing on understanding the team's current goals, pain points, and codebase before proposing improvements. Then suggest a concrete, small-scale contribution that aligns with Amazon's leadership principles and delivers immediate value.
Pro tip: Emphasize that you would spend the first week listening and learning rather than making changes, and tie your proposed work to a specific customer benefit or metric—this demonstrates Amazon's customer obsession and bias for action.
Express enthusiasm for understanding the team's mission, current projects, and challenges. Mention that you would meet with teammates, read documentation, and explore the codebase.
Look for small, high-impact tasks that can be completed quickly, such as fixing a bug, improving documentation, or automating a manual process. This shows initiative and delivers immediate value.
Connect your proposed work to a customer pain point or business metric. Explain how your contribution would improve the customer experience or operational efficiency.
Weave in principles like Customer Obsession, Bias for Action, and Learn and Be Curious. Show that you embody these values from day one.
Outline a specific, actionable first step you would take, such as setting up a development environment and pairing with a mentor to tackle a starter task.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.