Amazon Leadership Principles Interview Questions: 32 Questions and How to Answer Them

By Arneeb Mahbub · Updated October 22, 2026

At most companies, the behavioral round is one part of the interview.

At Amazon, it's the whole thing.

Amazon says its behavioral questions are guided by its Leadership Principles, starting at the very first phone screen. Then you sit down with anywhere from two to seven Amazonians, including a Bar Raiser from another team whose whole job is to decide if you raise the bar.

So if you're preparing for Amazon leadership principles interview questions, here's the honest truth. You can't wing this one. You need stories, and you need them mapped.

Here's every principle in plain English, 32 questions you're likely to hear, and how to build stories that hold up when the follow ups start.

What are the Amazon leadership principles?

Amazon has 16 Leadership Principles. They are the values Amazon uses to make decisions, and they shape almost every interview question you'll hear:

1. Customer Obsession
2. Ownership
3. Invent and Simplify
4. Are Right, A Lot
5. Learn and Be Curious
6. Hire and Develop the Best
7. Insist on the Highest Standards
8. Think Big
9. Bias for Action
10. Frugality
11. Earn Trust
12. Dive Deep
13. Have Backbone; Disagree and Commit
14. Deliver Results
15. Strive to Be Earth's Best Employer
16. Success and Scale Bring Broad Responsibility

Below, each one is explained in plain English with two interview questions you're likely to get.

How Amazon uses its Leadership Principles in interviews

Here's how it usually works:

• Every question maps to a principle. "Tell me about a time you disagreed with your manager" isn't random. It's testing Have Backbone; Disagree and Commit.
• Interviewers are assigned principles. Each person in your loop typically owns a few. That's why you'll hear similar questions phrased different ways.
• They dig. Expect "What exactly did you do?" "What was the data?" "What would you do differently?" Surface level stories fall apart fast.
• Failure is expected. Amazon tells candidates to prepare examples of risks, failures, and mistakes. In its words, "Failure is a necessary part of innovation."

Amazon leadership principles interview questions, one principle at a time

1. Customer Obsession

In plain English: Start with the customer and work backwards.

• "Tell me about a time you went above and beyond for a customer."
• "Tell me about a time you had to balance what a customer wanted with what the business needed."

2. Ownership

In plain English: Act like an owner. Never say "that's not my job."

• "Tell me about a time you took on something outside your area of responsibility."
• "Tell me about a time you made a decision that sacrificed short term results for long term value."

3. Invent and Simplify

In plain English: Find simpler ways to do things, and don't care who invented them.

• "Tell me about a time you found a simpler way to solve a complex problem."
• "Tell me about the most innovative thing you've done."

4. Are Right, A Lot

In plain English: Good judgment and good instincts, backed by seeking out views that disagree with yours.

• "Tell me about a time you made a decision with very little data."
• "Tell me about a time you were wrong."

5. Learn and Be Curious

In plain English: Never stop learning.

• "Tell me about a time you learned something new fast to solve a problem."
• "What's something you've learned recently that changed how you work?"

6. Hire and Develop the Best

In plain English: Raise the bar on talent and coach people.

• "Tell me about a time you helped someone on your team grow."
• "Tell me about a time you gave someone tough feedback."

7. Insist on the Highest Standards

In plain English: Keep raising the bar, even when others think it's high enough.

• "Tell me about a time you refused to compromise on quality."
• "Tell me about a time you weren't satisfied with the status quo."

8. Think Big

In plain English: Create bold direction that inspires results.

• "Tell me about a time you proposed a bold idea."
• "Tell me about a time you looked beyond your immediate team to solve a problem."

9. Bias for Action

In plain English: Speed matters. Many decisions are reversible, so move.

• "Tell me about a time you made a decision quickly without all the information."
• "Tell me about a calculated risk you took."

10. Frugality

In plain English: Do more with less.

• "Tell me about a time you delivered results without the budget or people you wanted."
• "Tell me about a time you saved your company money."

11. Earn Trust

In plain English: Listen, speak candidly, and admit mistakes.

• "Tell me about a time you had to earn the trust of a skeptical stakeholder."
• "Tell me about a mistake you made and how you handled it."

12. Dive Deep

In plain English: Stay close to the details. Know your numbers.

• "Tell me about a time you used data to find the root cause of a problem."
• "Tell me about a time a metric looked fine but something felt wrong."

13. Have Backbone; Disagree and Commit

In plain English: Push back respectfully. Once a decision is made, commit fully.

• "Tell me about a time you disagreed with your manager."
• "Tell me about a time you committed to a decision you didn't agree with."

14. Deliver Results

In plain English: Focus on the inputs that matter and get it done.

• "Tell me about your most significant accomplishment."
• "Tell me about a time you hit a goal despite major obstacles."

15. Strive to Be Earth's Best Employer

In plain English: Create a safer, more productive, more inclusive place to work.

• "Tell me about a time you improved how your team works together."
• "Tell me about a time you supported a teammate who was struggling."

16. Success and Scale Bring Broad Responsibility

In plain English: Think about the impact of your work beyond the immediate goal.

• "Tell me about a time you considered the wider impact of a decision."
• "Tell me about a time you made a decision that put long term trust ahead of a short term win."

How to answer Amazon behavioral questions

Amazon recommends the STAR method: situation, task, action, result. Here's how to make it work at Amazon specifically.

Spend 60% of your time on the action. The situation is setup. The action is where you prove the principle.

Say "I," not "we." The interviewer can't hire your team. Give the team credit once, then talk about your decisions.

Bring numbers. Dive Deep and Deliver Results are everywhere in an Amazon loop. "Improved retention" is weak. "Cut churn from 8% to 5% in two quarters" is an Amazon answer.

Have a real failure ready. Not a humblebrag. A real mistake, what you learned, and what you changed after.

Prepare for the second and third question. Your first answer opens the door. The follow ups decide the score. Know the data, the trade offs, and what you'd do differently.

For more practice with the format, here are 30 STAR interview questions with sample answers.

Build your Amazon story bank

You don't need 32 stories. You need 8 to 10 good ones that flex.

Cover Customer Obsession, Ownership, Dive Deep, and Deliver Results twice. They tend to come up the most.

The Bar Raiser

One person in your loop is the Bar Raiser. They're usually from a different team, and they act as an objective third party in the decision.

You won't always know who it is. So treat every interviewer like they're the Bar Raiser. Be specific, be honest, and don't get defensive when they push. The push is the test.

Amazon interviews for software engineers

If you're interviewing for an engineering role, you'll get coding and system design too. But don't underestimate the behavioral side. Leadership Principle questions show up across the loop, not just in one round.

Start with these behavioral interview questions for software engineers, then follow this software engineer interview prep plan for the technical rounds.

The mistakes that sink Amazon candidates

Generic stories. "I always put the customer first" isn't a story. It's a slogan.

Memorizing the principles but not your examples. Interviewers don't need you to recite the list. They need proof you've lived it.

No numbers. At Amazon, an answer without data sounds like an answer without results.

Running out of stories. If you use the same example three times, it signals you don't have range. That's why the story bank matters.

Amazon's process is tough. It's also predictable. The questions are public. The principles are public. The people who get offers are the ones who prepared real stories for every one of them.

Do the work before the loop. Then run a mock interview with someone who will keep asking "and then what?" That's the closest thing to the real thing.