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Amazon interview notes, page 146 of 159

FAANG / Big Tech

Most of these Amazon write-ups come from Software Engineers (1,092), then Data Scientists (182) and Product Managers (165). The most reported rounds are the technical phone screen (618), the behavioral / leadership round (309), the online assessment (228) and the system design round (159).

1581 interview notes · updated Oct 2026

Amazon·Product Manager·Onsite - Behavioral / Leadership

Jul 2026
Went through a PM interview at Amazon with a behavioral question tied to their leadership principles. Pretty standard loop but the question itself had more nuance than I expected.
  • Describe a time you had to make a product decision without enough customer data to back it up.

“I fumbled this a bit because I defaulted to a story where I actually did have some data, just not a lot.”

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Amazon·Data Scientist·Onsite - Behavioral / Leadership

Jul 2026
Amazon DS behavioral round, leadership principles focus. The whole thing was basically one long question about data quality and stakeholder wrangling, which sounds manageable until you're actually in it trying to remember specific metrics on the spot.
  • Tell me about a time you had to dig deep into messy data sources, maintain data quality while keeping stakeholders aligned, and ultimately drive a measurable outcome despite real obstacles along the way.

“I structured it as situation-action-result and it mostly held together, but the part I fumbled was the obstacles section.”

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Amazon·Data Scientist·Technical Phone Screen

Jul 2026
Amazon Data Scientist interview focused entirely on one deep product analytics case around Alexa Shopping. The question was dense and kept branching into sub-problems, which I wasn't fully prepared for.
  • How would you define and measure product-market fit for Alexa Shopping, including a full metric framework covering activation, engagement, retention, and satisfaction?
  • How would you handle event instrumentation and identity resolution for voice shopping, specifically the household vs. device distinction?
  • How would you control for seasonality like Prime Day or holidays when running cohort analysis on voice shopping retention?
  • What would you do if your PMF survey scores look strong but repeat purchase rates are low? How do you reconcile those conflicting signals?
  • How would you validate whether specific product improvements, like better voice intent understanding, are actually driving PMF gains rather than just correlating with them?

“This was a beast of a question.”

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Amazon·Software Engineer·Online Assessment (OA)

Jul 2026
Took Amazon's OA with barely a week's notice and it showed. Two coding questions, one DP and one Spring Boot, and I bombed both pretty thoroughly.
  • Solve a dynamic programming problem as part of a timed coding assessment.
  • Build a working backend feature using Spring Boot, passing a set of automated test cases.

“Passed 3 out of 15 test cases.”

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Amazon·Software Engineer·Onsite - System Design / Architecture

Jul 2026
Amazon SWE interview with a system design question around building a package installer that handles dependency resolution. Pretty focused session, one meaty problem that required thinking through graph traversal and ordering.
  • Design a package installer system that resolves dependencies between packages and installs them in the correct order. For example, given a dependency map where pkgA depends on pkgB and pkgC depends on pkgA, the installer should output the correct installation sequence.

“My first instinct was to treat it as a topological sort problem, which is basically right, but I fumbled explaining why for a bit.”

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Amazon·Product Manager·Onsite - Product Sense / Strategy

Jul 2026
Product sense question for a PM role, just one scenario but it had enough layers to keep me busy for a while. The Apple Watch constraint made it more interesting than a generic 'design an app' prompt.
  • You are a PM at Tesla. Design the Tesla app for Apple Watch.

“The wearable constraint is where I spent most of my energy and probably where I went wrong.”

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Amazon·Software Engineer·Technical Phone Screen

Jul 2026
Amazon SWE coding round, one question the whole time, and it was basically a streaming twist on a sliding window anagram problem. Not brutal, but the edge cases will get you if you're not careful.
  • Given a continuous stream of characters and a fixed target word, detect and report every position in real time where the last N characters (N = length of target) form an anagram of that target.

“I knew the static version of this problem pretty well, but the streaming interface tripped me up more than I expected.”

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Amazon·Software Engineer·Technical Phone Screen

Jul 2026
Amazon SWE coding round, one matrix problem, nothing too wild but it took me a minute to think through the efficient approach.
  • Given a binary matrix where every row is sorted in non-decreasing order, find the index of the row that contains the most 1s.

“My first instinct was to just count 1s per row linearly, which works but is obviously not what they're looking for.”

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Amazon·Software Engineer·Onsite - Coding / Algorithms

Jul 2026
Amazon SWE coding round, pretty geometry-heavy. The main problem was about line segment intersections and they wanted you to talk through both a naive approach and something more sophisticated. Left feeling like I could've handled the edge case discussion better.
  • Given a list of line segments each defined by two endpoints, find all intersection points. Walk through a brute-force pairwise approach, then discuss a sweep-line algorithm for better efficiency, and explain how you'd handle collinear or overlapping segments and shared endpoints.

“I started with the O(n^2) pairwise check which was fine, they nodded along.”

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Amazon·Product Manager·Onsite - Behavioral / Leadership

Jul 2026
Behavioral round for a PM role at Amazon. Just the one question but it's the kind that sounds easy until you're actually in it trying to remember a real story that doesn't make you look like a jerk.
  • Tell me about a time you changed a peer's mind when they disagreed with you.

“I went in thinking I had a solid story but mid-answer I realized it sounded more like I steamrolled the person than actually influenced them.”

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