Amazon Interview Guide — The Complete Reference
Everything you need to know about interviewing at Amazon
Bar Raisers have veto power — Amazon's unique evaluation challenges most candidates.
Bar Raisers have veto power — Amazon's unique evaluation challenges most candidates.
This page covers what every Amazon candidate needs to know — regardless of role. Pick your role below for the specific questions, process breakdown, prep plan, and salary data for your interview.
Amazon Data Engineers write technical design docs before building systems
Amazon Data Scientists become single source of truth for product decisions
Amazon MLEs own the full model lifecycle, not just training.
Amazon PMs submit written assessments before onsite interviews.
Amazon's Bar Raiser holds veto power over your hire
Amazon TPMs write narrative documents, not PowerPoint presentations.
Amazon's interview system is built around two fundamental questions: Will this person raise the bar for Amazon, and can they operate in a written narrative culture that values deep thinking over quick answers? Every interviewer scores you against the 16 Leadership Principles using a standardized rubric, but the final decision isn't made by the hiring manager — it's made by a Bar Raiser, a senior employee from a completely different team who has absolute veto power over your candidacy. This person doesn't care whether you'd be good for this specific role; they care whether you'd raise the overall talent bar at Amazon.
The evaluation philosophy centers on ownership and customer obsession at scale. Amazon operates with a Day 1 mentality where every employee is expected to think like a startup founder, taking ownership beyond their job description and working backwards from customer needs. The interview process tests whether you can operate in this environment of distributed decision-making and high ownership expectations. Unlike other companies that might accept competent execution, Amazon specifically looks for evidence that you'll take initiative, dive deep into problems, and deliver results even when faced with ambiguity or resource constraints.
What candidates consistently underestimate is the written narrative culture's impact on how they should present their stories. Amazon values detailed, data-driven narratives over concise elevator pitches. They expect you to walk through your thought process, show your data analysis, and reflect on what you learned — not just state the outcome. The Bar Raiser will probe these narratives harder than any other interviewer, looking for gaps in ownership, customer impact, or principled decision-making. How this evaluation framework plays out differently for each role — what technical depth is expected for engineers versus what strategic thinking is tested for product managers — is covered in the role-specific guides.
The Bar Raiser is Amazon's most distinctive interview differentiator and the one element that most profoundly changes how you should approach your preparation. This person is a senior employee from a completely different team — if you're interviewing for a software role, your Bar Raiser might come from retail operations or AWS sales. They have no stake in whether their team gets a new member, which means their only job is to determine whether you raise the bar for Amazon overall. This structural independence gives them veto power that overrides even the hiring manager's enthusiasm.
Bar Raisers evaluate you against Amazon's Leadership Principles with a level of rigor that exceeds other interviewers. They've been trained to spot candidates who might perform adequately in a specific role but lack the ownership mentality and customer obsession that Amazon requires at scale. Their questions will be harder, their follow-ups more probing, and their expectations more exacting. When a Bar Raiser asks about a time you disagreed with your manager, they're not just looking for conflict resolution skills — they're evaluating whether you have the backbone to disagree and commit even when it's uncomfortable, and whether you can articulate your reasoning in a principled way.
The most common mistake candidates make with Bar Raisers is softening their answers when the pressure increases. When a Bar Raiser pushes back on your story or asks for more detail about a failure, they're not trying to break you down — they're testing whether you own the outcome and learned from it. Your job is to maintain the same level of detailed, ownership-oriented storytelling regardless of how hard they probe. Treating the Bar Raiser as your most important interviewer, even more than the hiring manager, fundamentally changes how you should allocate your preparation time and energy.
Amazon's written memo culture profoundly changes how you should structure and deliver your interview responses. While other companies might reward concise, executive-summary style answers, Amazon values narrative thinking — the ability to walk through your thought process, present data clearly, and reflect meaningfully on outcomes. This culture stems from their practice of starting meetings with silent reading of detailed memos rather than PowerPoint presentations, which trains employees to think in complete thoughts rather than bullet points.
This affects your interview delivery in specific ways. When discussing a project or decision, you should include the context that led to your approach, the data that informed your choices, and the metrics that validated your outcome. Amazon interviewers are trained to spot the difference between someone who executed a plan versus someone who owned the problem and worked backwards from customer needs. Your stories should demonstrate written narrative thinking — showing how you gathered information, analyzed options, and reached principled decisions.
The Day 1 mentality amplifies this expectation for thorough thinking. Amazon wants employees who maintain startup urgency while operating with the analytical rigor of a mature company. This means your preparation should focus on stories that show both bias for action and deep analytical thinking — not one or the other. How this written culture translates to specific question types and evaluation criteria for your target role is detailed in the individual role guides.
These aren't corporate values on a poster. They are the scoring rubric every Amazon interviewer uses in every round. Click any to see what strong looks like — and what trips candidates up.
Read Amazon's official Leadership Principles →
These apply regardless of role. Every Amazon interviewer is looking for evidence of these experiences. Having the right stories — and knowing how to tell them for Amazon specifically — is what separates prepared from unprepared candidates.
Amazon stories should be substantially longer and more detailed than what works at other companies, following a strict STAR format with heavy emphasis on data and reflection. A typical Amazon behavioral response should take 3-4 minutes to tell completely, allowing space for metrics, customer impact, and meaningful reflection on what you learned. Interviewers expect you to quantify your impact wherever possible — not just "improved performance" but "reduced latency by 40% which improved customer conversion by 2.3%" — because Amazon's data-driven culture requires precise measurement of business impact.
The reflection component is particularly critical for Bar Raiser evaluation. Amazon wants to see that you learn from experiences and apply those lessons to future situations. Strong stories end with explicit statements about what you learned, how you changed your approach, or what you would do differently. This isn't just narrative polish — it demonstrates the self-awareness and continuous improvement mentality that Amazon requires for long-term success. When a Bar Raiser follows up with "What would you do differently?" they're testing whether you've genuinely learned or just successfully executed once.
Every story must connect clearly to at least one Leadership Principle, and stronger candidates weave multiple principles into their narratives naturally. Amazon interviewers are literally filling out scorecards for each Leadership Principle, so your job is to help them check those boxes by making the connections explicit. The most effective approach is to start your story by identifying the situation and customer need, then walk through your actions in a way that demonstrates specific principles, and conclude with both business impact and personal learning.
Most candidates who fail Amazon interviews aren't weak. They prepared for the wrong things. These are the patterns we see repeatedly across all roles.
These appear across all roles. Most candidates fail them not because they don't know the answer, but because they don't know what's being evaluated — and what the follow-up probes will be.
Questions about Amazon's specific process — not generic interview prep advice.
Upload your resume and the Amazon JD. Get a 50+ page report built around your background — your STAR stories pre-drafted, your gap scripts written, your fit score calculated against your exact role.