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Google interview notes, page 58 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 - Behavioral / Leadership

May 2026
Behavioral round at Google for a software engineering role. Just the one question about deadlines, structured as a 2-3 minute answer, nothing too surprising but you really need a tight story ready.
  • Tell me about a time you had to deliver something under a very tight deadline. What was the situation, how did you handle it, and what happened?

“I structured it as situation-action-result and it felt okay but I kept second-guessing whether my example was impressive enough for Google.”

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Google·Software Engineer·Onsite - Coding / Algorithms

May 2026
Google onsite coding round for a SWE role, one problem the whole session: build a trie from a dictionary and support prefix-based autocomplete. Classic problem but the follow-ups are where it gets real.
  • Build a trie from a dictionary of words and implement a prefix search that returns all words starting with a given prefix, sorted lexicographically.
  • Follow-up: how would you modify the autocomplete to return only the top-K most relevant suggestions, ranked by frequency?
  • Follow-up: how would you support deletion of a word from the trie?
  • Follow-up: how would you handle fuzzy matching, specifically returning words within one character edit of the prefix?

“The base problem isn't the hard part, writing the trie class cleanly from scratch under time pressure is.”

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Google·Software Engineer·Recruiter / HR Screen

May 2026
Behavioral screen at Google for a SWE role, basically just one question about why I left my last job.
  • Why did you leave your last role?

“Classic opener and I still fumbled it a bit.”

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Google·Product Manager·Onsite - Product Sense / Strategy

May 2026
Interviewed for a PM role at Google and got asked about quick commerce strategy. Pretty thin on details but the question itself took some real thought to unpack.
  • What is the current strategy behind 15-minute delivery apps?

“Spent the first minute just trying to figure out what angle they wanted.”

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Google·Software Engineer·Onsite - Behavioral / Leadership

May 2026
Behavioral round at Google for a software engineering role. Five questions, all focused on team dynamics and how you handle the messier parts of working with people. Nothing technically hard but I underestimated how much they'd push on specifics.
  • A teammate takes most or all of the credit for shared work. How do you handle it?
  • Tell me about a time you worked on a team with unclear roles or no real structure. How did you operate in that environment, and how would you add structure without creating unnecessary overhead?
  • What do you think makes someone a good leader or mentor? Can you give an example of someone you've worked with who showed those qualities?
  • Where do you see your career going over the next few years, and what's driving that direction?
  • How do you distinguish good feedback from bad feedback? Walk me through an example of each, either giving or receiving.

“I had a real example here but fumbled the ending.”

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Google·Product Manager·Onsite - Product Sense / Strategy

May 2026
Google PM interview with one of those estimation-style questions that sounds like a joke but they're dead serious about it.
  • How many lane divider stripes are there on the German autobahn?

“I froze for a second because I genuinely wasn't sure if they wanted me to actually know this or just structure my way through it.”

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Google·Product Manager·Onsite - Product Sense / Strategy

May 2026
Google PM interview with a single product sense question about building a hotel product on top of Google Assistant. Not much else to go on but the question itself is pretty meaty.
  • Should Google build a hotel product powered by Google Assistant?

“This is the kind of question where you can spiral fast if you don't anchor on what Google actually cares about.”

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Google·Data Scientist·Technical Phone Screen

May 2026
Google data science screen, just one stats question but it took up the whole session. Felt like a deceptively simple topic that I probably undersold.
  • Can you explain the Central Limit Theorem and describe why it matters in practice?

“I knew the definition cold but fumbled the 'why it's useful' part.”

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Google·Machine Learning Engineer·Technical Phone Screen

May 2026
Google ML Engineer interview that mixed a resume walkthrough with some surprisingly deep NLP theory and a mini product case. The tokenization section caught me a bit off guard with how far they wanted to go, and the LLM recommendation system case was more open-ended than I expected.
  • Walk me through the NLP or ML projects on your resume. What were the key decisions you made and why?
  • Compare word-level, subword (BPE), WordPiece, SentencePiece, and character-level tokenization. What are the tradeoffs and when would you use each?
  • How would you design a recommendation system using an LLM? Walk through retrieval, prompt design, ranking, evaluation, and how you'd handle cold-start users.

“This part felt fine until they started poking at specific choices I'd made, like why I picked one architecture over another.”

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Google·Software Engineer·Technical Phone Screen

May 2026
Google SWE interview that went pretty deep into a string/anagram-style problem. The follow-up chain got surprisingly granular around memory optimization and how matching logic changes once you strip redundant data from your buckets.
  • After grouping words by their run-length encoding signature, do you actually need to store the character identities inside each bucket? If the bucket key already encodes which characters appear in order, can you get away with storing just the count vectors instead, and what does that mean for memory and for how you do matching?

“This caught me mid-explanation and I had to pause.”

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