AMAZON INTERVIEW GUIDE
Amazon Interview Questions, Process & How to Prepare
Updated September 2026 · ~7 min read
- Common roles
- Software engineer, program/product manager, operations manager, data analyst
- Interview style
- Structured behavioral interviews built around written Leadership Principles, plus role-specific technical or case rounds
- Focus
- Evidence of ownership, measurable results, and decisions you can explain end to end
Amazon is unusually explicit about how it evaluates people: interviewers are trained to ask behavioral questions tied to the company's published Leadership Principles and to record detailed notes, often using a STAR-style structure. That means preparation is less about clever answers and more about having a deep bank of real stories, each with the situation, your specific actions, and a result you can defend. Exact stages vary by team, role and year.
The Amazon interview process
- Recruiter screen covering your background, motivation and logistics.
- One or two role-specific screens: a technical/coding round for engineering, or a written or case exercise for business roles.
- An onsite or virtual loop of several interviews, each typically anchored on different Leadership Principles.
- A "bar raiser" interviewer from outside the hiring team joins the loop to keep the hiring standard consistent.
- Debrief and decision, followed by a recruiter call with the outcome.
Stages vary by role and year — confirm with your recruiter.
Common Amazon interview questions
- Tell me about a time you took ownership of something outside your job description.
- Describe a decision you made with incomplete data. What did you do and what happened?
- Tell me about a time you disagreed with a manager or peer. How did you handle it?
- Describe the most complex problem you have solved. What made it complex?
- Tell me about a time you failed or missed a goal. What changed afterward?
- Give an example of when you simplified a process or removed work rather than adding it.
What Amazon is really looking for
- Ownership: you speak about outcomes you drove, not what "the team" did.
- Bias for action: you can show reasonable decisions made quickly with imperfect information.
- Customer focus: you connect your work to the person or business on the other end.
- Depth: you can go three questions deeper on any number, system or tradeoff you mention.
- Learning from failure: a candid failure story with a concrete change carries more weight than a polished win.
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Get my free Amazon game plan →How to prepare (the STAR method)
Behavioural answers land when they follow a shape the interviewer can score. STAR gives you that shape:
- Situation — the context in two sentences: where you were, what was at stake, who else was involved.
- Task — what you specifically were responsible for, not what the team was handed.
- Action — the bulk of the answer: the decisions you made, the tradeoffs, and what you did when it went sideways.
- Result — what changed, and how you know. Only claim a number you can actually explain; if you cannot break it down under a follow-up question, leave it out.
Prepare six to eight stories rather than one per question. Strong stories get reused across ownership, conflict, failure and delivery prompts.
Research checklist for Amazon
- Read Amazon's published Leadership Principles and map two of your own stories to each of the ones your role touches most.
- Read the job posting closely and note the specific verbs and metrics it uses.
- Review the team's product or service as a customer would, and write down one honest friction point.
- Check recent company news and earnings commentary for the business area you are interviewing with.
- Prepare one question that shows you already understand the team's problem space.
Frequently asked questions
This guide is an independently written resource and isn't affiliated with or endorsed by Amazon.