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Google interview notes, page 20 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·Product Manager·Onsite - Product Sense / Strategy

Apr 2026
PM interview at Google with a product strategy question framed around Netflix, which threw me a bit since I wasn't expecting a competitor-style case.
  • If you were a PM at Netflix, how would you grow watch time specifically on TV devices?

“The platform constraint is what makes this interesting.”

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Google·Software Engineer·Technical Phone Screen

Apr 2026
Google SWE interview with a tree problem that looked straightforward but had enough moving parts to keep me on my toes for the whole session.
  • Given a tree where each node has a price, a parent pointer, and a list of children, find the cheapest common ancestor of two distinct nodes a and b.

“My first instinct was to walk up from both nodes and collect ancestors, then find the minimum price among the shared ones.”

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Google·Software Engineer·Onsite - Product Sense / Strategy

Apr 2026
Went through what seemed like a quick estimation question at Google, the kind that sounds straightforward but makes you second-guess your assumptions the whole way through.
  • How many scooters would a company with 2000 employees spread across 4 floors need, given 500 employees per floor?

“My first instinct was to just divide and move on, but then I started second-guessing everything.”

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Google·Product Manager·Onsite - Product Sense / Strategy

Apr 2026
Interviewed for a PM role at Google and got hit with a metrics diagnosis question about a significant drop in search volume. Short round, one meaty question, left feeling like I either nailed it or completely missed what they were looking for.
  • Google searches are down 35%. Walk me through how you'd figure out what's going on.

“I went straight to bucketing possible causes: internal changes versus external factors, then started narrowing by platform, region, user segment.”

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Google·Software Engineer·Onsite - Coding / Algorithms

Apr 2026
Google onsite coding round for a SWE role. One problem the whole time, grid-based, deceptively tricky once you get into the constraint details.
  • Given an N x N grid containing houses (H) and empty cells, place flowers such that each row and column has at most one flower, and every house has exactly one adjacent flower that isn't shared with another house. Return a valid placement or indicate whether one exists.

“The N-Queens comparison only hit me after I'd already gone down a wrong path.”

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Google·Product Manager·Onsite - Product Sense / Strategy

Apr 2026
Google PM interview with a product sense question that sounds casual but actually goes pretty deep if you let it.
  • Tell me about a non-technology product you recently purchased and loved. What do you love about it, and what would you change? Now imagine what that product looks like 50 years from now.

“I picked something I genuinely use every day and that helped, but I fumbled the 50-year part.”

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Google·Software Engineer·Technical Phone Screen

Apr 2026
Google SWE coding round, got a prefix sum problem with a streaming follow-up that I did not fully see coming. The core problem was manageable but the follow-up is where things got interesting.
  • Given an integer array and a target value k, count the number of contiguous subarrays whose elements sum to exactly k.
  • How would you adapt your solution if the array elements arrive one at a time as a stream, and you need to report the updated count after each new element?

“I knew the prefix sum trick going in, so the O(n) hashmap solution came out pretty clean.”

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Google·Software Engineer·Onsite - Product Sense / Strategy

Apr 2026
Went through a bizops interview at Google that focused on resource allocation and how you'd actually measure whether your org is staffed correctly. Pretty strategic stuff, no fluff.
  • How would you determine whether your organization is receiving the right level of resources?
  • What specific data points would you use to reach a conclusion about resource adequacy?

“This one tripped me up more than I expected.”

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Google·Software Engineer·Technical Phone Screen

Apr 2026
Google SWE interview with a system design coding question. Pretty straightforward premise but the details add up fast if you're not careful about your data structure choices.
  • Design a restaurant waitlist system that supports adding a guest, removing a guest by name, and serving the next guest when a table opens up. Implement this as a class or set of functions with complete working code.

“My first instinct was to just use a list and call it done, but then the remove-by-name part made me reconsider.”

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Google·Product Manager·Onsite - Product Sense / Strategy

Apr 2026
Google product design interview, one question about designing a smart closet. Pretty open-ended, which I was not expecting from a company that usually has more structure.
  • Design a smart closet.

“I went straight to features and the interviewer just stared at me.”

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