I started with DNS resolution and the interviewer just waited, so I kept going deeper.
Start by clarifying the scope and assumptions (e.g., web search, desktop, logged-in user) to show product rigor. Then walk through the end-to-end flow at a high level, focusing on key stages and trade-offs rather than deep technical details. Finally, connect each stage to product decisions and metrics that matter for a PM at Amazon.
Pro tip: Frame your answer around customer obsession and the working backwards process—explain how each component serves the user's intent and how you'd measure success. This shows you think like an Amazon PM, not just an engineer.
Ask clarifying questions to define the scenario (e.g., web vs. mobile, logged in vs. anonymous, simple vs. complex query). State your assumptions explicitly to set a shared understanding.
Describe the user's experience from typing the query to seeing results, including autocomplete, query submission, and results page rendering. Keep it non-technical and focused on user value.
Explain the major systems involved (query understanding, indexing, ranking, serving) and how data flows between them. Highlight trade-offs like latency vs. relevance, and how they impact the user.
Discuss key product decisions at each stage (e.g., how to handle ambiguous queries, personalization, ads) and the metrics used to evaluate success (e.g., CTR, time to result, query reformulation rate).
Summarize the most critical trade-offs and what you would prioritize as a PM. Tie back to Amazon's leadership principles like customer obsession and invent and simplify.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.