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Google interview notes, page 40 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
Google PM interview with a classic product sense question that sounds breezy until you're actually in it. One question, but it opened up into a pretty involved conversation about growth strategy.
  • Name your three favorite products, pick one, and walk through how you'd scale it 10x.

“I picked too quickly and spent the first two minutes defending my choice instead of just moving into the plan.”

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Google·Data Scientist·Technical Phone Screen

Apr 2026
Brutal technical screen for a DS role at Google. The whole thing was one massive ML system design question about fraud detection, and they wanted a real end-to-end answer, not hand-waving.
  • You have a fraud classification problem with a 0.2% positive rate, 10 million rows, and 500 features. Walk through your complete end-to-end plan: data splitting, handling class imbalance, metric selection, threshold tuning, algorithm choices, and validation strategy. Include pseudocode for the training loop.

“This was essentially seven questions rolled into one.”

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Google·Software Engineer·Technical Phone Screen

Apr 2026
Google SWE screen with a binary search problem. Pretty straightforward session, nothing tricky thrown in.
  • Given a sorted integer array and a target value, return the index of the target or -1 if it doesn't exist. Must run in O(log n) time.

“Classic binary search, nothing fancy.”

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Google·Product Manager·Onsite - Multi Round

Apr 2026
Google PM loop, three questions that covered basically the full spectrum of what they care about. Product sense, behavioral, and data. Nothing felt out of left field but the combo kept me on my toes.
  • Pick a product you think is poorly designed and explain why, then walk through how you'd fix it including the trade-offs involved.
  • Tell me about a time you went significantly beyond what was expected to deliver value to users. What happened as a result?
  • Describe a situation where you resolved a disagreement with a colleague or stakeholder by leaning on data or metrics.

“I went with a product I actually use every day and regretted it partway through because I started second-guessing whether my critique was too surface-level.”

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Google·Software Engineer·Onsite - Coding / Algorithms

Apr 2026
Google SWE coding round, one problem the whole time: Russian Doll Envelopes. Felt manageable if you've drilled LIS before, but there's a subtle sorting trick that will absolutely sink you if you haven't seen it.
  • Given a list of envelopes as (width, height) pairs, find the longest chain where each envelope strictly fits inside the next one.

“The core problem is LeetCode 354.”

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Google·Machine Learning Engineer·Onsite - Behavioral / Leadership

Apr 2026
Behavioral round for an MLE role at Google. One question, pretty focused on how you navigate disagreements with your manager when the data tells two different stories depending on your time horizon.
  • Tell me about a time your model performed well on short-term metrics but your manager was worried about long-term impact. How did you handle the disagreement, and how did you use data and communication to get on the same page?

“This one tripped me up a bit because my first instinct was to frame it as 'I was right, manager was wrong, here's how I convinced them.' Probably not the best look.”

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Google·Software Engineer·Onsite - System Design / Architecture

Apr 2026
Google system design round for a software engineer role, focused entirely on building a collaborative notes service. The depth they expected was pretty serious, covering everything from conflict resolution strategies to how you'd scale a hot document with thousands of concurrent editors.
  • Design a collaborative notes service that supports real-time multi-user editing, offline sync, and basic version recovery.
  • How would you handle concurrent edits from multiple users without losing anyone's changes?
  • Why would you choose CRDTs over Operational Transformation, or the other way around?
  • How would you handle clients that go offline, make edits locally, and then reconnect?
  • How would you recover a note to an earlier version?
  • How would you scale the collaboration service if a single note had thousands of simultaneous viewers?
  • How would you prevent unauthorized users from receiving live edits over WebSockets?

“This was the core question and it ate the whole session.”

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Google·Product Manager·Onsite - Product Sense / Strategy

Apr 2026
PM interview at Google with a classic estimation question. Pretty standard format but the scope of the problem was bigger than I expected once I started breaking it down.
  • Estimate the total number of hours drivers in the United States collectively spend stuck in traffic each year. Walk through your assumptions, how you split the population (e.g. urban vs. rural), the key numbers you used, and the full calculation.

“I went urban/rural split right away which felt right, but I fumbled the actual numbers mid-calculation.”

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Google·Product Manager·Onsite - Product Sense / Strategy

Apr 2026
Got a classic market entry case at Google, framed as a direct question from the CEO. Pretty open-ended, which sounds fun until you're actually sitting there trying to figure out where to start.
  • The CEO of Google asks you whether Google should enter the alarm clock market. Should they, and if so, what would Google do differently from existing players?

“I spent probably too long on the 'should they' part and not enough on the 'what would be different' part, which is honestly where the meat of the question lives.”

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Google·Software Engineer·Technical Phone Screen

Apr 2026
Interviewed for a security role at Google and got asked a classic networking question that sounds basic until you're actually sitting there trying to figure out how deep they want you to go.
  • How does the internet work?

“Breadth vs depth is the whole game here and I misjudged it.”

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