How Amazon interviews actually work
Amazon’s interviews are unusually structured: nearly every behavioral question maps to one of the company’s 16 Leadership Principles, and interviewers are trained to probe for specific evidence against them. You’ll often meet a “Bar Raiser” — an interviewer from outside the hiring team whose job is to keep the hiring bar high and consistent.
The practical implication is that generic answers don’t land. Amazon wants concrete, data-backed stories told in the first person, and interviewers will drill into details: what data you used, what you’d do differently, why you made a particular call. Preparing means having a bank of STAR stories, each deliberately chosen to demonstrate a principle.
Leadership Principles you’ll be tested on
You don’t need a story for all 16, but these come up most often. Prepare at least one strong STAR example for each:
- Customer Obsession: a time you worked back from the customer’s need, even when it was inconvenient
- Ownership: a time you acted beyond your remit or took responsibility for a bad outcome
- Invent and Simplify: a time you found a simpler or novel solution to a hard problem
- Dive Deep: a time you used data to uncover a root cause others had missed
- Bias for Action: a time you made a well-judged decision quickly under uncertainty
- Deliver Results: a time you hit a hard goal despite obstacles, with numbers to show it
Example Amazon behavioral questions
- Tell me about a time you disagreed with your manager. How did you handle it?
- Describe a time you had to make a decision without all the data you wanted.
- Give me an example of when you went above and beyond for a customer.
- Tell me about a time you took a calculated risk. What was the outcome?
- Describe a time you dug into data to solve a problem others had given up on.
- Tell me about a time you failed to meet a deadline or goal. What did you learn?
How to prepare
Build a grid: Leadership Principles down one side, your best stories across the top, and mark which stories demonstrate which principles. Aim to cover every principle with at least one story, and make sure each story is quantified and told from your own decisions. Then rehearse out loud, including the follow-up questions — “why?”, “what would you change?”, “what did the data say?” — because that second layer is where Amazon interviews are won or lost.
CrushMyInterview lets you practice this directly: run AI mock interviews that ask Amazon-style behavioral questions with adaptive follow-ups, and get scored feedback on how clearly each story maps to the principle it’s meant to show.