Amazon Leadership Principles: A Sample Answer for Each of the 16

Amazon doesn't ask "what is Ownership" in an interview. It asks you to tell a real story, then digs into what you specifically did, and scores that story against one of its sixteen leadership principles. If you walk in with a definition instead of a story, you fail the question even if you understand the principle perfectly. Below is one concrete sample answer for every principle, written for software engineers rather than generic corporate candidates, plus what the interviewer is actually listening for underneath each one.

What Are Amazon's Leadership Principles, and Why Do They Run the Interview?

Amazon's leadership principles are the company's internal definition of good judgment, and every behavioral question in an Amazon loop maps back to one or more of them. For a software development engineer, that includes the phone screen, the onsite behavioral round, and often a "bar raiser" interviewer whose entire job is to check your stories against these principles rather than your code. The list has grown over time. The original fourteen are still the ones you will hear most, but Amazon added Strive to Be Earth's Best Employer and Success and Scale Bring Broad Responsibility in 2021, and both now show up in loops, so skipping them because an older prep guide doesn't mention them is a real gap.

An interviewer picks two or three principles per round and asks a question tied to each, such as "tell me about a time you disagreed with your manager" for Have Backbone, Disagree and Commit, or "tell me about a decision you made with incomplete information" for Are Right, A Lot. The words in the question rarely name the principle directly, which is exactly why most candidates prepare definitions instead of stories and then freeze when the question doesn't use the principle's name.

How Should You Structure a Leadership Principle Answer?

Use the STAR shape: situation, task, action, result, in that order, and spend most of your airtime on the action. Amazon's own guidance and every interviewer who runs these loops repeats the same complaint, that candidates describe the situation for two minutes and then rush the part that actually answers the question, which is what you personally did and decided. State the situation in two or three sentences, state your specific task or decision point in one sentence, spend the bulk of the answer on the actions you took and why you chose them over the alternatives, and close with a result that includes a real number or a concrete outcome, not "it went well."

The examples below follow that shape in miniature. Read them as a pattern to copy with your own real project, not as a script to memorize and recite, since a bar raiser who has heard the same generic answer forty times will ask a follow-up that exposes a memorized story in seconds.

What Does a Strong Sample Answer Look Like for Each Leadership Principle?

Each principle below gets one compact example answer set in an engineering context, plus the one thing the interviewer is actually scoring when they ask it. Treat these as the shape of a real answer, then swap in your own project, your own numbers, and your own decision.

Customer Obsession

A candidate notices that a batch job is technically meeting its SLA but is producing results customers only see the next morning, so they rework the pipeline to stream partial results within minutes instead of waiting for the full batch, even though nobody asked for it and it added a sprint of work. The interviewer isn't scoring whether you like customers. They are checking whether you can spot a gap between what was asked and what the customer actually needed, and whether you acted on that gap without being told to.

Ownership

An engineer's service starts failing intermittently at 2 a.m., and even though the on-call rotation belongs to another team that week, they get paged as a secondary responder, stay on the call past their shift, and personally follow up the next day to make sure the root cause got fixed rather than just patched. The scoring signal here is whether your story shows you treating a problem as yours to finish, not just yours to escalate.

Invent and Simplify

A team has a five-step manual deployment checklist that takes forty minutes and occasionally gets a step skipped under pressure, so one engineer collapses it into a single script and cuts deployment time to under five minutes with no skipped steps since. The interviewer wants to hear that you removed complexity rather than added a clever workaround on top of it, since Amazon explicitly distinguishes invention that simplifies from invention that just adds a new moving part.

Are Right, A Lot

Faced with two possible database designs and no time to prototype both, an engineer picks one based on read/write ratios they pulled from existing traffic logs rather than a guess, explains the trade-off to the team in writing before building, and turns out to be right when traffic triples six months later. What is being scored is whether you sought out real data before deciding, not whether the outcome happened to work out.

Learn and Be Curious

An engineer working entirely in Python gets assigned to a project that needs a Go service, spends two weekends building a small side project in Go before the assignment starts, and ends up being the person the team asks Go questions six months in. The interviewer is listening for whether you go learn something before you are forced to, not just whether you can list technologies on a resume.

Hire and Develop the Best

An engineer sits on three interview loops a month, notices their team's rejection rate on system design rounds is unusually high, digs into the feedback, and realizes interviewers are penalizing candidates for not asking clarifying questions early enough, so they write a short calibration guide that the team adopts. The scoring signal is whether you raised the bar for people around you, not just whether you personally interview a lot.

Insist on the Highest Standards

A pull request that "works" but leaves error handling to a bare try/except with no logging gets rejected in code review, and instead of waving it through to hit a deadline, an engineer pushes back, pairs with the author for twenty minutes, and ships a version that actually surfaces failures. Interviewers want proof you will hold a line even when it is inconvenient in the moment, not just that you know what good code looks like.

Think Big

Asked to fix a reporting dashboard that is slow for one team, an engineer instead proposes and builds a shared metrics layer that three other teams adopt within the quarter, turning a narrow bug fix into a platform. This is scored on scope: did you solve the problem in front of you, or did you notice the bigger problem it was a symptom of.

Bias for Action

With a production incident affecting a small percentage of users and no clear root cause after twenty minutes, an engineer ships a reversible mitigation (feature flag off) rather than waiting for a full diagnosis, then investigates the real cause afterward. The interviewer is checking whether you can make a fast, reversible call under uncertainty instead of stalling until you have full information you may never get.

Frugality

Rather than requesting a new managed service that costs several thousand dollars a month to solve a caching problem, an engineer builds a small in-memory cache using infrastructure the team already pays for, solving 90 percent of the problem for close to zero incremental cost. What is being scored is resourcefulness under constraint, not cheapness for its own sake.

Earn Trust

After shipping a change that caused a minor regression, an engineer proactively posts the root cause and the fix in the team channel before anyone asks, including the part where they missed a test case, rather than letting someone else discover it first. The interviewer wants candor, specifically whether you volunteer your own mistakes instead of only your wins.

Dive Deep

A dashboard says error rates are flat, but an engineer notices a single customer's support tickets keep mentioning failures, digs through raw logs instead of trusting the aggregate metric, and finds a bug affecting a narrow but real slice of traffic the dashboard was averaging away. The scoring signal is whether you went to the actual data when a summary metric and a real signal disagreed, which is the literal wording of this principle.

Have Backbone; Disagree and Commit

A engineer believes a proposed architecture won't scale past the next launch, says so directly in a design review with the data to back it up, loses the argument after a real discussion, and then commits fully to building the chosen design well rather than building it half heartedly to be proven right later. Interviewers score both halves equally: did you actually disagree out loud, and did you actually commit once the decision was made.

Deliver Results

Given a launch date that depended on three other teams finishing their pieces on time, an engineer tracked every dependency weekly, flagged the one team slipping two weeks before it would have blocked the launch, and the feature shipped on the original date because of that early flag. The interviewer wants a specific, numbered outcome, not "the project was a success."

Strive to Be Earth's Best Employer

An engineer notices new hires on the team keep struggling with the same undocumented deployment quirks in their first month, so they write an onboarding runbook and pair personally with the next two new hires through their first on-call shift, cutting the team's new-hire ramp complaints to zero the following quarter. This principle is newer and less prepared for, so a specific story about making the day-to-day work environment better for teammates, not just shipping features, stands out precisely because most candidates don't have one ready.

Success and Scale Bring Broad Responsibility

An engineer building an internal tool that automatically flags accounts for review realizes the flagging logic could disproportionately affect one category of users, raises it before launch even though no one else had noticed, and the team adds a manual review step as a result. The signal here is whether you think about the downstream effect of something you built at scale, even when nobody asked you to, which is exactly why this principle exists.

What Do Interviewers Actually Listen For, and What Mistakes Sink an Answer?

A bar raiser isn't grading whether your story is impressive. They are grading whether your story is specifically yours, whether it has a measurable result, and whether it maps cleanly to the principle they asked about. The single most common failure is a "we" story where the candidate can't say what they personally decided or did when pressed, since a team accomplishment with no individual action in it answers no leadership principle at all. The second most common failure is reusing one strong story for every question by stretching the framing, which experienced interviewers notice within two loops and probe until the seams show.

Vague results are the third failure. "The project went well" or "the client was happy" tells an interviewer nothing, while "cut deploy time from forty minutes to five" or "reduced the team's on-call pages by a third" gives them something to actually score. The fourth failure is picking a story where you were right about everything and nothing went wrong, which for Have Backbone or Are Right, A Lot especially reads as either dishonest or as a missed opportunity to show real judgment under uncertainty, since judgment only shows up when the easy answer wasn't obviously correct in the moment.

A fifth, quieter failure is only preparing stories for the original fourteen principles. Strive to Be Earth's Best Employer and Success and Scale Bring Broad Responsibility are newer, most prep guides online barely mention them, and most candidates walk in with zero stories ready for either one. That gap is exactly why a candidate who shows up with even one honest, specific example for these two principles stands out against a pool of candidates reciting the same well-rehearsed Ownership and Customer Obsession stories they found in the first search result.

Frequently Asked Questions

How many leadership principle questions come up in one Amazon interview loop?

A typical SDE loop has one dedicated behavioral round of around forty five minutes covering two to four principles, plus most technical rounds open with one or two leadership principle questions before moving into coding or system design, so expect six to ten leadership principle questions across a full onsite loop, not just one round's worth.

Can you reuse the same story for more than one leadership principle?

Yes, a single strong story often demonstrates two or three principles at once, such as a production incident that shows both Ownership and Bias for Action, but you need four to six distinct stories in your back pocket overall so you aren't stretching one story to cover a question it doesn't actually fit.

Do leadership principle questions apply to engineering interviews, or only to non-technical roles?

They apply to every role including SDE, and at senior levels the behavioral round often carries as much weight as the technical rounds, since Amazon is explicitly hiring for judgment and ownership alongside coding ability, not coding ability alone.

What if you genuinely don't have a real example for a specific principle?

Look for a smaller, honest version of it rather than inventing one. Strive to Be Earth's Best Employer doesn't require you to have run a diversity initiative. Helping one struggling teammate or improving one rough onboarding process is a real, specific answer, and a small true story beats a large invented one every time a follow-up question probes the details.

Is a bar raiser looking for something different than the hiring manager?

The bar raiser is specifically trained to check leadership principle fit across the whole loop and has veto power regardless of how the other interviewers score you, so their questions tend to probe deeper follow-ups on the same story rather than covering new principles, and a shaky answer here carries more weight than a shaky answer in a regular round.

How long should one leadership principle answer take?

Aim for ninety seconds to two minutes for the full STAR answer before the interviewer starts asking follow-ups, since a answer that runs past three minutes uninterrupted usually means the situation section ran too long at the expense of the action and result.

Behavioural Interview Questions: the site's own behavioral round prep, organized by company and by the competencies each one scores
Amazon interview questions: the coding and system design questions Amazon has actually asked, for pairing your leadership principle prep with the technical rounds in the same loop
Coding Interview Practice: if the technical rounds in your Amazon loop are still the bigger gap
System Design Interview: for the system design round that often opens with its own leadership principle question before the whiteboard starts