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Google interview notes, page 15 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·Onsite - System Design / Architecture

Apr 2026
Got a system design question at Google about elevator scheduling for a 100-floor hotel with two elevators. Pretty classic infrastructure design problem but there's more to it than you'd think once you start poking at edge cases.
  • A hotel has 100 floors and two elevators. Design an algorithm to determine how the elevators should pick up guests.

“I started with the obvious stuff, nearest elevator dispatching, direction priority, that kind of thing.”

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Google·Product Manager·Onsite - Behavioral / Leadership

Apr 2026
Went through a behavioral round for a PM role at Google. Just one question but it hit harder than expected.
  • Tell me about a time when you were unable to launch your product on schedule.

“I had a decent story ready but fumbled the part about what I actually did to recover.”

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Google·Product Manager·Onsite - Product Sense / Strategy

Apr 2026
Google product design question, pretty open-ended. One question, no hints on scope, just had to figure out what they were actually looking for on the fly.
  • How would you design a great gas station?

“My first instinct was to go full UX mode and talk about pump UI and loyalty apps, which in hindsight was way too narrow.”

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Google·Product Manager·Onsite - Product Sense / Strategy

Apr 2026
Google product sense interview, one question about whether to pitch Sundar on adding a game feature to Google Home. Short and focused, but not as easy as it sounds.
  • If you were advising Google's CEO, would you recommend building a game feature for Google Home? Make the case either way.

“The 'talking to the CEO' framing threw me a little because it made me want to be more polished than analytical.”

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Google·Software Engineer·Technical Phone Screen

Apr 2026
Phone screen for a Google SWE role, one coding problem the whole time. It was a Wordle-style puzzle with a real algorithmic twist, not just grind-leetcode stuff, which I appreciated even if I fumbled parts of the follow-up.
  • You have a hidden 5-letter word and a black-box oracle that takes a position and a letter, returning true if that letter is at that position. Design an algorithm to identify the word while minimizing the total number of oracle calls. No dictionary available.
  • Now assume you have a dictionary of valid 5-letter words. How would you redesign the strategy to use that information and reduce expected oracle calls further?

“My first instinct was just brute force, 5 positions times 26 letters, 130 calls worst case.”

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Google·Software Engineer·Onsite - System Design / Architecture

Apr 2026
Google system design round, one question about building an ETA system for a maps product. Pretty open-ended and I spent way too long on the easy parts.
  • Design an ETA (estimated time of arrival) system for a maps application.

“I started with the data pipeline and routing logic which felt safe, but the interviewer kept pushing toward how you'd actually keep estimates accurate in real time.”

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Google·Software Engineer·Technical Phone Screen

Apr 2026
Google coding interview, pretty much just one algorithmic problem about finding the k'th smallest element in an array. Short and to the point.
  • Given an unsorted array of integers, find the k'th smallest element.

“Classic problem but there are a few ways to go at it and picking the right one under pressure is where people slip up.”

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Google·Software Engineer·Onsite - Coding / Algorithms

Apr 2026
Google SWE coding round, one algorithmic problem that looked simple until you had to actually defend the complexity tradeoffs out loud. Came away feeling okay about it but not great.
  • Given an integer array and an integer k, return the k most frequent elements. You must do better than O(n log n) time. Be ready to discuss multiple approaches and their tradeoffs, including how ties in frequency are handled.

“I went straight for the heap approach, size k, O(n log k), which felt safe.”

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Google·Product Manager·Onsite - Behavioral / Leadership

Apr 2026
Google PM behavioral round, one question about stakeholder conflicts. Pretty standard but the kind of question that's easy to answer badly if you pick the wrong story.
  • Tell me about a time you had to manage stakeholders who had conflicting priorities.

“I picked a story where engineering and marketing were pulling in opposite directions on a launch timeline.”

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Google·Software Engineer·Onsite - Product Sense / Strategy

Apr 2026
Google Cloud PM interview, one question about product design. Pretty open-ended, which sounds fun until you're actually sitting in it.
  • Design a new product that Google Cloud should offer.

“I went straight to infrastructure gaps and pitched something around cost anomaly detection for cloud spend.”

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