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Google interview notes, page 126 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

Jun 2026
Interviewed for a data engineering role at Google and got the classic climbing stairs problem. Pretty standard coding screen, nothing that surprised me.
  • Given a staircase with n steps, how many distinct ways can you climb to the top if you can take either 1 or 2 steps at a time?

“Classic dynamic programming setup.”

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Google·Product Manager·Onsite - Product Sense / Strategy

Jun 2026
Google PM interview with a product design question focused on accessibility and hardware. Pretty standard onsite feel, one question but it had a lot of depth to unpack if you let it.
  • How would you redesign Google Nest/Home specifically for elderly users?

“I jumped straight into features and had to pull myself back.”

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Google·Software Engineer·Onsite - Multi Round

Jun 2026
Backend engineer with solid experience interviewed for a software engineer role at Google in New York, completing both a coding session and a behavioral session back-to-back in one afternoon. Coding felt strong, behavioral was harder to read, and five days later there's still no word.
  • Solve an algorithmic problem, starting with a brute-force approach and then optimizing using a more appropriate data structure.
  • Describe how you handle a situation involving [abstract behavioral scenario], without framing it as a specific past experience.

“Went in without having formally studied the data structure the optimal solution needed.”

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Google·Product Manager·Onsite - Product Sense / Strategy

Jun 2026
Google PM interview with a fermi estimation question about YouTube's data throughput. Pretty standard product sense territory but the math gets hairy fast if you don't anchor your assumptions early.
  • Estimate the total amount of data YouTube streams to users globally in a single 24-hour period. Walk through your assumptions and calculations, then sanity check your answer.

“I started with daily active users and average session length, which felt right, but then I got fuzzy on bitrates and just picked a number that sounded reasonable.”

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Google·Software Engineer·Hiring Manager Screen

Jun 2026
Interviewed for a customer success manager role at Google, just the one behavioral question from what I can tell. Pretty standard stuff but it still tripped me up a bit.
  • Tell me about a time when a project did not go as expected.

“I had a story ready but the moment they asked it I second-guessed whether my example was strong enough.”

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Google·Software Engineer·Hiring Manager Screen

Jun 2026
Interviewed for a business analyst role at Google, and the whole thing came down to one behavioral question about impact. Pretty lean process from what I could tell.
  • Walk me through a recommendation you made based on your analysis. What was the outcome?

“I had an answer prepped but the 'impact' part tripped me up a bit.”

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Google·Product Manager·Onsite - Product Sense / Strategy

Jun 2026
PM interview at Google, one question about the future of quick commerce. Not much else to go on but it felt like a product strategy screen.
  • Where do you see the 15-minute delivery app space heading over the next five years?

“I went straight to unit economics and dark store saturation, which felt smart at the time.”

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

Jun 2026
Google system design interview for what seemed like an ML or ads-adjacent role. One meaty question about ad conversion prediction, which sounds straightforward until you actually have to spec it out end to end.
  • Design a system to predict YouTube ad conversions.

“I started with feature engineering and the interviewer kind of let me run with it, which in hindsight was a trap because I spent way too long there and barely touched the serving layer.”

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Google·Software Engineer·Onsite - Coding / Algorithms

Jun 2026
Second onsite coding round at Google for a SWE role. One problem, but it had enough layers to it that I spent a good chunk of time just making sure I understood the tie-break rules before touching the keyboard.
  • Given an array indexed by person ID where each entry is a (timestamp, action) pair with action being either enter or exit, return the actual time each person cleared a gate. Only one person can pass per time unit, and simultaneous arrivals are resolved by a specific set of tie-break rules based on what happened at the previous moment.

“The tie-break logic is where most people probably trip up.”

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Google·Product Manager·Onsite - Product Sense / Strategy

Jun 2026
Google PM interview, one question about designing a phone for emerging markets. Pretty open-ended, which sounds fun until you're actually in it.
  • How would you design a phone specifically for emerging markets?

“I went straight to constraints: low cost hardware, unreliable connectivity, limited data plans.”

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