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Google interview notes, page 90 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 - Coding / Algorithms

May 2026
Google SWE coding round with a range-assignment array problem. The efficiency angle was the real point of the question, not just getting a working solution.
  • You're given an integer array and a list of range-assignment queries, each specifying a start index, end index, and value to assign across that range. Queries are applied in order, so later ones overwrite earlier ones on overlapping positions. Return the final array. The naive O(n * q) solution is too slow. What's a more efficient approach?

“My first instinct was just to simulate it, which is obviously wrong at scale.”

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Google·Technical Program Manager·Onsite - Behavioral / Leadership

May 2026
Behavioral round at Google for a TPM role, just the one question but it had some weight to it.
  • Tell me about a time a software release your team owned had a negative impact on another team.

“I had a story ready but mid-answer I realized I was centering it too much on what went wrong technically and not enough on how I handled the fallout with the other team.”

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Google·Software Engineer·Technical Phone Screen

May 2026
Google SWE coding round, one question the whole time. The problem sounds clean on paper but there are a few wrinkles that'll trip you up if you haven't seen the pattern before.
  • Given an array of strings, group together all strings that belong to the same shift sequence. Two strings are in the same group if every character in one can be shifted by the same fixed amount (with wrap-around) to produce the other.

“My first instinct was to just normalize everything to start from 'a', which works, but I fumbled explaining why wrap-around matters until they pushed back.”

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Google·Product Manager·Recruiter / HR Screen

May 2026
Interviewed for a PM role at Google, pretty light on the technical side. The one question I got was more of an icebreaker than anything else.
  • What is your favorite app on your phone?

“Seems casual but I fumbled it a bit.”

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Google·Software Engineer·Onsite - Behavioral / Leadership

May 2026
Behavioral round at Google for a software engineering role. Four questions, all the classic conflict/failure/ambiguity type stuff. Nothing shocking but the follow-ups were sharper than I expected.
  • Tell me about a time you disagreed with a teammate. How did you handle it?
  • Describe a situation where you delivered results that went beyond what was expected of you.
  • Walk me through a mistake or failure you made. What happened and what did you take away from it?
  • Tell me about a time you had to work through significant ambiguity. How did you bring clarity to the situation?

“I had a decent example from a project where me and another dev had completely different ideas about how to structure the data layer.”

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Google·Product Manager·Onsite - Product Sense / Strategy

May 2026
Google PM interview with a product design question around financial literacy. Pretty open-ended, which I wasn't fully prepared for.
  • As a Google PM, how would you design a product or feature to help users become more financially savvy?

“The scope of this tripped me up a bit.”

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Google·Product Manager·Onsite - Product Sense / Strategy

May 2026
Interviewed for a PM role at Google and got hit with a monetization question about Gmail. Pretty classic Google product strategy territory but still took me a second to find my footing.
  • Should Google start charging Gmail users? Make a case for or against it.

“I went straight to the revenue angle and kind of forgot to anchor on what Gmail actually means to Google's broader ecosystem.”

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Google·Product Manager·Onsite - Product Sense / Strategy

May 2026
Google PM interview with a single open-ended strategy question about autonomous vehicles. Pretty speculative stuff, the kind where there's no right answer and you just have to show you can think through a big ambiguous space.
  • If you knew that two-thirds of cars would be autonomous within 10 years, how would you build a business around that shift?

“I went straight to infrastructure and data plays, which felt safe but maybe too obvious.”

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Google·Product Manager·Onsite - Product Sense / Strategy

May 2026
PM interview at Google, just the one question but it carried the whole conversation. Felt like a deep dive more than a screening.
  • Walk me through the most complex product you've built.

“I went in thinking I'd just describe the product and that would be enough.”

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Google·Machine Learning Engineer·Onsite - Behavioral / Leadership

May 2026
Behavioral screen for an ML engineer role at Google. Just one question but it's the kind that sounds easy until you're actually sitting there trying to answer it.
  • Can you describe a time when you demonstrated qualities that align with Google's culture and values in your work?

“I blanked for a second because the question feels deceptively open.”

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