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Netflix interview notes, page 6 of 20

FAANG / Big Tech

Most of these Netflix write-ups come from Software Engineers (136), then Data Scientists (23) and Product Managers (16). The most reported rounds are the technical phone screen (94), the system design round (48), the product sense round (14) and the behavioral / leadership round (11).

191 interview notes · updated Jul 2026

Netflix·Software Engineer·Technical Phone Screen

May 2026
Netflix data science interview with a single open-ended product question about series renewal. No frills, just a big ambiguous prompt and you figure out where to take it.
  • You're a data scientist at Netflix. Walk through how you'd use data to determine whether a TV series should be renewed for another season.

“This is the kind of question where you can go in fifteen different directions and none of them feel wrong, which is somehow worse than a hard constraint.”

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Netflix·Software Engineer·Onsite - Multi Round

May 2026
Went through two separate Netflix pipelines in Warsaw before finally landing an offer, which I ended up declining because the all-cash comp structure in Poland just didn't work out financially. The process was more team-specific than I expected, longer than Google's, but nothing about the questions was as exotic as the internet makes it sound.
  • Build out a feature on top of a provided project skeleton and document your implementation.
  • A standard technical screen problem (the one that circulates frequently in Netflix interview discussions).
  • Four JavaScript-specific algorithm-style problems in the coding round (framed as a React problem beforehand).
  • System design round: design a large-scale system (onsite, in-office portion of the loop).
  • Behavioral interview covering past experience and how you've handled various work situations.

“The take-home surprised me, apparently it's specific to certain teams and not the standard Netflix pipeline.”

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Netflix·Software Engineer·Technical Phone Screen

May 2026
Netflix SWE coding round, one design-heavy implementation problem that went pretty smoothly on my end. Wrote test cases after, all passed, then just... nothing. Classic ghost.
  • Implement a multithreaded latency tracker with two methods: setLatency(long timestamp, double latency) to record a data point, and getP99Latency(long windowSize) to return the 99th percentile latency within a sliding time window.

“The core challenge isn't the percentile math, it's making both methods thread-safe without killing performance.”

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Netflix·Data Scientist·Recruiter / HR Screen

May 2026
HR screen for a Data Scientist role at Netflix. Pretty much entirely focused on culture fit and past work, so if you haven't read the culture memo before going in, you're going to have a bad time.
  • Which Netflix culture principle resonates most with you, and can you give a specific example of demonstrating it at work?
  • Walk me through the past project that best prepares you for this role.

“I picked 'judgment' because it felt safer than something like 'candor' where you might accidentally talk yourself into a corner.”

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Netflix·Software Engineer·Technical Phone Screen

May 2026
Phone screen for a Netflix SWE role, just one coding round where they had me build a cache with a time-based expiry. Passed through to onsite two days later.
  • Design and implement a cache that supports time-based expiration of entries.

“Classic enough that I'd seen variations before, but the time-limit piece added a wrinkle I didn't think through fast enough at first.”

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Netflix·Product Manager·Onsite - Product Sense / Strategy

May 2026
Netflix PM interview, product analytics focus. Just one question but it had enough surface area to trip you up if you went in without a clear framework for ML feature evaluation.
  • What metrics would you track to evaluate a new 'Top Picks' ML recommendation feature for Netflix?

“I started with engagement metrics, click-through on recommendations, watch time, completion rate, and thought I was doing well.”

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Netflix·Software Engineer·Technical Phone Screen

May 2026
Netflix data analyst interview, technical screen focused on SQL. One question, pretty deep, they wanted you to actually walk through your reasoning rather than just name-drop concepts.
  • What's the most complex SQL query you've written? Walk me through what it did, the key concepts involved, and the types of joins you used.

“I picked a query I'd written for a funnel analysis and started explaining it, but I fumbled the join explanation partway through.”

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Netflix·Product Manager·Hiring Manager Screen

May 2026
Interviewed for a PM role at Netflix, just one question from what I can tell but it was the kind that sounds breezy until you're actually in it.
  • What do you think will be the hardest part of this role, and what are you most excited about?

“I fumbled the order a bit, led with the excitement part when they probably wanted to see self-awareness first.”

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Netflix·Software Engineer·Onsite - Product Sense / Strategy

May 2026
Netflix product design interview with a single open-ended accessibility prompt. Not what I expected going in, and I'm still not sure how I did.
  • Design an accessible alternative to airport lounges.

“I spent the first few minutes just trying to figure out who this is even for.”

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Netflix·Product Manager·Onsite - Product Sense / Strategy

May 2026
PM interview at Netflix with one meaty operational design question. No frills, just a big open-ended flow problem that made me realize how little I'd thought about physical product logistics before.
  • Walk through the end-to-end flow for a customized drinking water purifier, from when a customer places an order all the way through delivery and installation.

“I froze for a second because my brain kept defaulting to software flows.”

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