Amazon's interview process, Leadership Principles questions, the bar raiser, and what separates a "Strong Hire" from a "Hire".
Amazon typically runs 4–6 interviews in a "loop" — all on the same day or across two days. Each interviewer is assigned specific Leadership Principles to probe. One interviewer is the "Bar Raiser" (an experienced interviewer from a different team whose sole job is to maintain the hiring bar). You need majority approval from the loop to get an offer.
Customer Obsession: start with the customer and work backwards. Ownership: act like an owner, not a renter. Bias for Action: calculated risk-taking beats waiting for perfect information. Dive Deep: leaders who understand the details, not just the strategy. Have Backbone; Disagree and Commit: challenge decisions you disagree with, then execute fully once decided. These aren't just buzzwords — interviewers are trained to score your answers against specific behavioral anchors for each principle.
Prepare at least 1–2 strong examples per principle, from your actual experience. The same example can answer multiple principles if reframed. Map each story to the principles it covers. In the interview, the interviewer will often ask a follow-up that tests a different principle using your same story — be ready to go deeper.
Coding interviews use LeetCode-style problems (mostly medium difficulty). Amazon focuses on optimal time/space complexity — brute force rarely passes. System design questions focus on scalability, distributed systems, and real Amazon services (DynamoDB, SQS, S3 are common). Explain your reasoning out loud throughout.
Amazon PM interviews include Product Design (design a new feature), Product Improvement (how would you improve X Amazon product), Metrics (what metrics would you track for X), and Technical depth (how does X Amazon system work). Customer Obsession and Data-driven decision making are the most frequently tested principles for PMs.
You won't know which round is the bar raiser. They have veto power and will probe deeply — expect multi-level follow-ups, challenges to your reasoning, and questions like "What would you do differently?" or "What did you miss?". The bar raiser is looking for people who raise the average quality of their team. Mediocre "yes" answers don't pass this bar.
Specific: exact numbers, dates, names of systems or teams. High-ownership: you drove the outcome, not just participated. Principled: the story demonstrates a specific LP anchor behavior. Outcome-focused: measurable result, even if the result was a failure with clear learnings. Interviewers score every answer 1–4 immediately after you give it.