Amazon Interview Guide 2026: Leadership Principles, Questions, and How to Get Hired

Amazon receives millions of applications every year. With over 1.5 million employees worldwide, getting an offer is a serious achievement, and what separates Amazon from every other large tech company is that the interview process is built almost entirely around 16 Leadership Principles. Technical skills matter, but if you cannot demonstrate the LPs with concrete stories from your past, you will not get hired.

This guide goes deep on the Leadership Principles themselves, gives you real behavioral questions tied to each one, and walks you through complete STAR-format answers. For the broad overview, see our general Amazon interview guide.

Amazon Interview Process Overview

Stage	Format	Duration	What They Assess
Online Application	Resume screening	N/A	Keywords, experience match
Online Assessment (OA)	Coding + work simulation	60-90 min	Technical ability, LP alignment (tech roles)
Phone Screen	Video/phone with hiring manager	45-60 min	2-3 Leadership Principles, basic fit
Loop Interviews	4-5 back-to-back rounds	4-5 hours	All 16 LPs across interviewers
Debrief	Internal panel discussion	N/A	Hire/no-hire with Bar Raiser input

The Online Assessment includes coding problems and a “Work Style Assessment” that is essentially an LP-alignment questionnaire. Do not rush through it. A poor score can end your candidacy before you speak to a human.

The Phone Screen is your first live evaluation. One interviewer spends 45 to 60 minutes on behavioral questions mapped to two or three Leadership Principles. Roughly 50% of candidates are eliminated here.

Pro tip: Prepare at least two stories per Leadership Principle before your phone screen. You will not know which LPs the interviewer is assigned to evaluate.

The Loop consists of four to five interviews back to back. Each interviewer is assigned two to three specific LPs, and together the panel covers all 16. Fatigue is a real factor, and Amazon knows it — they are partially evaluating how you perform under sustained pressure.

The Bar Raiser Explained

One of your loop interviewers is a Bar Raiser — an experienced Amazonian (typically L6 or above) who is not from the team you are joining. They serve as an impartial evaluator with significant authority:

• Veto power. If the Bar Raiser says no, you do not get hired, even if every other interviewer says yes.
• They assess whether you raise the bar. The question is not “Can this person do the job?” but “Will this person make the team better than it is today?”
• They hold the long-term view. Bar Raisers think about your trajectory over two to three years.
• You will not know who they are. They do not identify themselves, though they tend to ask broader, principle-driven questions rather than role-specific ones.

Pro tip: Treat every interviewer as if they are the Bar Raiser. That mindset pushes you to bring your best to every round.

All 16 Leadership Principles: Questions and What Amazon Wants

Every Amazon interview question maps to at least one Leadership Principle. Below, the 16 principles are grouped into thematic clusters to help you see how stories can serve double duty.

Customer Focus

1. Customer Obsession — Leaders start with the customer and work backwards. Amazon lists this first for a reason. Your answer must show that the customer was your starting point, not an afterthought.

Question: “Tell me about a time you made a decision that was unpopular but right for the customer.”

2. Earn Trust — Leaders listen attentively, speak candidly, and treat others respectfully. This is about vulnerability and honesty: admitting mistakes openly and giving hard feedback upward.

Question: “Describe a time you had to deliver difficult feedback to someone senior to you.”

Ownership and Bias for Action

3. Ownership — Leaders act on behalf of the entire company. They never say “that’s not my job.” Amazon wants people who see problems and fix them, regardless of whose responsibility it technically is.

Question: “Tell me about a time you took on a project outside your area of responsibility.”

4. Bias for Action — Speed matters in business. Many decisions are reversible and do not need extensive study. Amazon distinguishes between one-way doors (irreversible) and two-way doors (reversible). Default to action on two-way doors.

Question: “Describe a situation where you made a decision quickly without all the data you wanted.”

Innovation

5. Invent and Simplify — Leaders expect innovation and find ways to simplify. The best answer is not about building something flashy but about making something complicated radically simpler.

Question: “Tell me about a time you found a simple solution to a complex problem.”

6. Think Big — Leaders create and communicate a bold direction that inspires results. Amazon wants ambitious thinking, not incremental improvement.

Question: “Describe a time you proposed a bold idea that others initially resisted.”

7. Learn and Be Curious — Leaders are never done learning. They want self-directed learning driven by genuine curiosity, not a training course your manager assigned.

Question: “Tell me about a time you learned something outside your job scope that helped you at work.”

Execution

8. Deliver Results — Leaders focus on key inputs and deliver with the right quality and timeliness. Your answer must include specific, measurable outcomes. No metrics, no good score.

Question: “Tell me about a time you delivered a critical project under a tight deadline with limited resources.”

9. Insist on the Highest Standards — Leaders have relentlessly high standards. Show that you held the line on quality even when it was easier to cut corners.

Question: “Tell me about a time you refused to ship something because it did not meet your quality bar.”

10. Dive Deep — Leaders operate at all levels, stay connected to details, and are skeptical when metrics and anecdote differ. This is about intellectual rigor and refusing to take things at face value.

Question: “Tell me about a time you discovered a problem by diving into data others had overlooked.”

People

11. Hire and Develop the Best — Leaders raise the performance bar with every hire. Even individual contributors should have a story about mentoring someone or raising hiring standards.

Question: “Tell me about someone you hired or mentored. How did they develop?”

12. Have Backbone; Disagree and Commit — Leaders challenge decisions respectfully, then commit wholly. Both halves matter equally: push back with data, AND commit fully once decided.

Question: “Tell me about a time you disagreed with your manager’s decision.”

13. Strive to Be Earth’s Best Employer — Leaders create a safer, more productive, more diverse work environment. One of the newer principles (added 2021). Show empathy and proactive culture-building.

Question: “Tell me about a time you identified and addressed a gap in your team’s work environment.”

Strategy

14. Are Right, A Lot — Leaders have strong judgment and seek diverse perspectives. The key is that they “work to disconfirm their beliefs.” Show rigorous thinking, not stubbornness.

Question: “Describe a judgment call that turned out right when most people disagreed with you.”

15. Frugality — Accomplish more with less. Constraints breed resourcefulness. Show creativity under constraints, not just cost cutting.

Question: “Tell me about a time you achieved a significant result without the resources you wanted.”

16. Success and Scale Bring Broad Responsibility — Leaders create more than they consume and leave things better than they found them. Show that you think beyond immediate business outcomes.

Question: “Describe a decision where you weighed business impact against broader societal considerations.”

STAR-Format Example Answers

The STAR method is non-negotiable at Amazon. Here are three complete example answers for the most commonly asked LP questions.

Example 1: Customer Obsession

Question: “Tell me about a time you went above and beyond for a customer.”

Situation: I was a product manager at a B2B software company. Our largest enterprise client ($400K annual contract) was threatening to cancel because a reporting feature produced inaccurate compliance data. The bug had been deprioritized for three sprints since it only affected this client’s data configuration.

Task: Resolve the issue quickly enough to retain the client without derailing sprint commitments affecting 200 other customers.

Action: I personally reproduced the bug in staging and discovered it was a rounding error in our aggregation logic that would eventually affect other clients at scale. I presented this finding to engineering leadership with a clear business case, negotiated pulling the fix into the current sprint by handling QA myself over the weekend, and called the client’s VP directly to walk through our remediation timeline.

Result: We shipped the fix in four days. The client renewed for two years and expanded to $600K annually. The aggregation fix prevented an estimated 12 additional client escalations the following quarter.

Example 2: Have Backbone; Disagree and Commit

Question: “Tell me about a time you disagreed with your manager.”

Situation: I was a senior engineer on a team building a payment processing service. My manager wanted to launch with a third-party fraud vendor. I believed the vendor’s 800ms API latency would increase cart abandonment by roughly 3%.

Task: Make a data-backed case without damaging the relationship or slowing the project.

Action: I built a proof of concept for an in-house fraud model using our transaction data. It caught 94% of the fraud the vendor caught at 50ms latency. I presented a one-page trade-off analysis to my manager, honestly including the extra two weeks of engineering time required. He decided to go with the vendor anyway, citing time-to-market pressure. I committed fully to the vendor integration and helped ship on time.

Result: Six months later, the cart abandonment data confirmed my prediction. My manager asked me to lead the migration to the in-house model. We completed it in three weeks because I had kept the POC updated. Cart abandonment dropped 2.8%, recovering approximately $1.2M in annual revenue.

Example 3: Dive Deep

Question: “Tell me about a time you found a problem by looking at data others missed.”

Situation: I was an operations manager at a logistics company. Monthly reports showed on-time delivery at our 96% target. But I was hearing increasing complaints from our West Coast distribution center.

Task: Determine whether a real problem was hiding beneath aggregate metrics.

Action: I pulled six months of raw shipment data and segmented by distribution center, product category, and delivery distance. The 96% aggregate masked a regional disparity: East Coast was at 99% (pulling up the average), while West Coast had dropped from 95% to 88%. I traced the root cause to oversized items being routed through standard packaging lines, creating bottlenecks. I built a regional dashboard and presented a specific fix to the VP: a dedicated oversized-item packaging line.

Result: The VP approved within a week. West Coast on-time delivery recovered to 97% in 45 days. The regional dashboard was adopted company-wide, and catching the issue early saved an estimated $2M in customer credits.

How Amazon Differs from Other FAANG Companies

Behavioral depth is unmatched. At Google, behavioral questions are one round out of five. At Amazon, every round includes them. You need 20+ prepared stories, not 8-10.

The LP framework is rigid. Google evaluates “Googleyness” as a soft signal. Amazon uses structured scoring rubrics for each named Leadership Principle. Interviewers have literal scorecards.

Metrics are mandatory. Other companies appreciate quantified results. Amazon requires them. An answer without numbers scores poorly regardless of narrative strength.

The Bar Raiser is unique. No other FAANG company has an independent evaluator with veto power in every interview loop.

Follow-up probing goes three to four levels deep. Prepare for “Why that approach?”, “What data informed that decision?”, and “What would you do differently?” for every story.

Tips for Loop Day

The night before: Review your story library once, then stop. Get seven hours of sleep. Mental sharpness matters more than extra cramming.

Morning of: Eat protein and complex carbs for sustained energy. Arrive 15 minutes early (onsite) or log in 10 minutes early (virtual). Bring water and a light snack.

During interviews: Take a breath before each answer. Write down the question. Use different stories for each interviewer — they compare notes in the debrief, and repeating stories signals limited experience.

Between interviews: Stand, stretch, breathe. Do not replay the last round. Reset for the next one.

Pro tip: Prepare a one-page “story bank” organized by LP before loop day. Reference it between interviews to distribute your best stories across the full day.

Common Mistakes That Kill Amazon Interviews

Using “we” instead of “I.” Amazon interviewers are trained to listen for first-person language. The Action section of your STAR answer must be unmistakably about you.

Preparing only one story per LP. Each interviewer asks two to three LP questions plus follow-ups that may require a second example. Aim for two to three stories per principle.

Vague results without metrics. “The project was successful” is not a result. “Conversion increased 23%, generating $1.4M in quarterly revenue” is a result.

Not preparing for follow-up probes. Amazon interviewers dig three to four layers deep. If you cannot answer “Why that approach?” and “What would you do differently?” for a story, it is not ready.

Ignoring the newer LPs. Many candidates over-prepare for Customer Obsession and Deliver Results but neglect Strive to Be Earth’s Best Employer and Success and Scale Bring Broad Responsibility. These are actively assessed.

Your Next Step: Practice With Real-Time Feedback

Knowing the Leadership Principles is half the battle. The other half is delivering your stories clearly and confidently under pressure, which only comes from practice with feedback.

Practice Amazon Leadership Principle questions with AI-powered coaching. OphyAI’s Interview Coach evaluates your STAR structure, flags when you slip into “we” language, checks that your results include metrics, and gives real-time feedback on every answer. Use Interview Copilot for real-time support during live Amazon interviews. Start practicing free →