Why the Leadership Principles run the interview
At Amazon, the Leadership Principles (LPs) are not a poster on the wall — they are the literal rubric interviewers score you against. Nearly every behavioral question maps to one or more LPs, and interviewers write up your answers tagged to the principles they were probing. A "Bar Raiser" on each loop guards the hiring bar and weights LP fit heavily.
That means preparation is different from a typical company. You are not just proving you can do the job; you are proving you embody a specific, well-published value system through concrete stories. Candidates who know the LPs and come with mapped examples have a large, entirely learnable advantage.
The 16 principles at a glance
Amazon originally had 14 Leadership Principles and added two more in 2021, for 16 today. Know them by name and, more importantly, by the behavior each one is really asking about.
- Customer Obsession — start from the customer and work backward.
- Ownership — act on behalf of the whole company, never say "not my job," think long term.
- Invent and Simplify — seek new ideas and remove complexity.
- Are Right, A Lot — strong judgment; seek diverse perspectives and disconfirm your own beliefs.
- Learn and Be Curious — always improve and explore new possibilities.
- Hire and Develop the Best — raise the performance bar and grow others.
- Insist on the Highest Standards — relentlessly high bar; do not let defects travel.
- Think Big — bold direction that inspires results.
- Bias for Action — speed matters; many decisions are reversible.
- Frugality — do more with less; constraints breed resourcefulness.
- Earn Trust — listen, speak candidly, treat others respectfully.
- Dive Deep — stay connected to details and audit frequently.
- Have Backbone; Disagree and Commit — challenge respectfully, then commit fully.
- Deliver Results — focus on key inputs and deliver with quality, on time.
- Strive to be Earth’s Best Employer — safer, more productive, more empathetic work.
- Success and Scale Bring Broad Responsibility — be humble about impact and make things better.
The last two (Best Employer; Broad Responsibility) were added in 2021 and come up less in interviews. Prioritize deep stories for the classic 14, especially Customer Obsession, Ownership, Dive Deep, and Bias for Action.
Prepare stories, not principles
The mistake candidates make is trying to invent one story per principle. Instead, build a bank of 10–12 rich, real stories from your career, then map each to the two or three LPs it can demonstrate. A single strong story about shipping a fix under deadline can serve Ownership, Bias for Action, and Deliver Results depending on how you frame it.
Write each story in STAR format and, critically, load the Action and Result sections with detail and metrics. Amazon interviewers dig — expect "Why did you do it that way?", "What was the data?", "What would you do differently?" Your stories need depth beneath the headline.
Answer in STAR, quantify the result
Every LP answer should be a STAR story about a real situation you personally drove. Use "I," not "we" — interviewers are scoring your individual contribution, and "we" answers read as hiding. Spend most of your time on what you did and what resulted.
Quantify relentlessly. Amazon is a data-driven culture, and a Result with numbers ("reduced latency 40%", "saved $200K annually", "cut the defect rate in half") lands far harder than a vague "it went well." If you improved something, know by how much.
Keep two failure stories ready. "Tell me about a time you failed" and "a time you were wrong" map to Earn Trust and Are Right, A Lot. Own the mistake plainly, then show the data-driven change you made.
A mapped example
Prompt: "Tell me about a time you disagreed with your manager." (Have Backbone; Disagree and Commit, plus Earn Trust.)
Strong shape: Situation — your manager wanted to ship a feature you believed would hurt retention. Task — you had to make the case without damaging the relationship or the deadline. Action — you pulled the usage data, ran a small test, and presented the tradeoff with a recommendation, then committed fully once the call was made. Result — quantify what happened, and note what the disagreement, handled well, changed going forward.
That single story demonstrates backbone (you pushed back with evidence), Earn Trust (you did it respectfully and committed after), and Dive Deep (you brought data). Framing turns one experience into coverage of several principles.