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Google interview notes, page 85 of 215

FAANG / Big Tech

Most of these Google write-ups come from Software Engineers (1,167), then Product Managers (686) and Data Scientists (125). The most reported rounds are the product sense round (667), the technical phone screen (660), the behavioral / leadership round (252) and the onsite coding round (214).

2146 interview notes · updated Oct 2026

Google·Software Engineer·Technical Phone Screen

May 2026
Interviewed at Google, got hit with an A/B testing question that sounds straightforward until you actually try to answer it completely.
  • What are the common pitfalls of A/B testing?

“I went in thinking I'd just list a few things like peeking at results early and calling it a day.”

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Google·Software Engineer·Technical Phone Screen

May 2026
Google SWE coding round with a tricky streaming data structure problem. The core idea sounds manageable until you actually try to implement it cleanly under pressure.
  • You're given a stream of doubles representing positions on a number line. After each insertion into your collection, check if any two points are within distance d of each other. If so, remove and emit the pair with the two smallest positions, and keep doing that until no qualifying pair remains. Handle floating-point comparisons with a small epsilon. What data structure do you use and how do you implement this efficiently?

“My first instinct was a sorted list and binary search for neighbors, which is the right direction, but I fumbled on the 'keep removing until none left' loop.”

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Google·Software Engineer·Onsite - Product Sense / Strategy

May 2026
Google marketing manager interview with a meaty product launch question that covered a lot of ground at once. The kind of question where you realize halfway through your answer that you've been talking for three minutes and haven't gotten to pricing yet.
  • Walk me through a product launch campaign you owned. How did you handle pricing strategy, advertising, and tracking sales performance?

“This is a deceptively wide question.”

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Google·Product Manager·Onsite - Product Sense / Strategy

May 2026
Google PM interview with a product design question about building a song recommendation algorithm for a radio station. Single question, open-ended, and the constraint of only one user input made it trickier than it sounds.
  • Design an algorithm for a radio station to pick the next song from a database of over a million tracks, where the user can only provide a single input on the landing page.

“The one-input constraint is what makes this interesting and also where I got a bit turned around.”

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Google·Software Engineer·Technical Phone Screen

May 2026
Google SWE coding round, one algorithmic problem about binary searching on a distance value. Pretty clean question but it took me a bit to see the binary search angle.
  • Given the positions of N kids and M ice cream sellers on a 1D number line, find the smallest distance E such that every kid is within distance E of at least one seller.

“Took me longer than it should have to recognize this as a binary search on the answer problem.”

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Google·Product Manager·Onsite - System Design / Architecture

May 2026
Google PM interview, one question on system design for a ticketing platform. Pretty open-ended and I wasn't totally sure how deep to go on the technical side versus the product side.
  • How would you design the system for a ticket selling web application?

“I spent the first few minutes trying to figure out whether they wanted a PM-style answer or an actual architecture breakdown.”

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Google·Software Engineer·Technical Phone Screen

May 2026
Interviewed for a security analyst role at Google, got a pretty foundational question about firewalls. Nothing too wild but I definitely fumbled the second part about configuration.
  • What is the purpose of a firewall, and how would you go about configuring one?

“Nailed the first half, talked about traffic filtering and blocking unauthorized access, felt good.”

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Google·Product Manager·Onsite - Product Sense / Strategy

May 2026
Interviewed at Google for a product role and got hit with a classic prioritization question about mobile feed real estate. Not a lot of context to go on, but the question itself was meaty enough to chew on for a while.
  • How would you decide how to split space on the Facebook mobile news feed between ads and friend suggestions?

“This is the kind of question where you can spiral fast if you don't anchor on what you're actually optimizing for.”

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Google·Machine Learning Engineer·Onsite - System Design / Architecture

May 2026
Google ML Engineer system design round, and they went straight for the jugular with a distributed matrix multiply question. No warmup, no easy stuff first. Left the room genuinely unsure if I'd covered enough ground.
  • Design and implement a distributed matrix multiplication C = A × B across two GPUs, where both A and B must reside on each device. Walk through your data partitioning strategy, which communication primitives you'd use, how you'd schedule compute to overlap with communication, memory layout and buffer reuse, numerical precision choices, synchronization, how you'd aggregate and return C, and how the design scales or handles failures.

“This is a beast of a question and I did not treat it like one at first.”

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Google·Product Manager·Onsite - Product Sense / Strategy

May 2026
Google product interview, one question about growing Pixel's market share. Pretty open-ended, not a lot of context to go on from what was shared.
  • How would you grow Pixel's market share?

“This one has a lot of surface area and I think I spread myself too thin.”

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