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Google interview notes, page 202 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

Jul 2026
Got a product strategy question at Google that was basically a business case disguised as a simple either/or choice. The real challenge was justifying your answer to an executive, not just picking a side.
  • Should Apple convert its iPhone business to a subscription model? If you could either charge $1000 per device or shift to a recurring subscription, which would you recommend and how would you make that case to the CEO?

“I went straight into the financials and kind of forgot to anchor on what Apple actually cares about, which is ecosystem lock-in and margins together, not just revenue per unit.”

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Google·Software Engineer·Onsite - Coding / Algorithms

Jul 2026
Google SWE interview with a classic arrays problem that feels easy until you actually have to justify the time complexity out loud.
  • Given a binary array (containing only 0s and 1s), sort it in linear time.

“My first instinct was to just count the zeros, then fill.”

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Google·Data Scientist·Technical Phone Screen

Jul 2026
Google DS interview with a product experimentation question centered on a real Maps UI change. Pretty clean setup but the depth expected was no joke.
  • The product team is considering moving the Google Maps search bar from the top of the screen to the bottom. Walk through how you would design an A/B test to evaluate this change, covering your hypothesis, primary and guardrail metrics, experiment unit, randomization strategy, sample size calculation, expected runtime, and how you'd interpret the results.

“This looks like a clean experiment question until you realize how many pieces they actually want you to hit.”

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Google·Product Manager·Onsite - Product Sense / Strategy

Jul 2026
Google PM interview with a product design question about building a meditation app. Pretty open-ended, which sounds nice until you're actually sitting there trying to figure out where to start.
  • How would you design a meditation app from scratch?

“I went straight to user segmentation, which felt right, but I spent way too long on it and rushed the actual feature prioritization at the end.”

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Google·Machine Learning Engineer·Onsite - Coding / Algorithms

Jul 2026
Google ML Engineer interview with a coding round that went deeper than I expected. The string search problem looked familiar at first glance but they wanted more than a brute force pass.
  • Implement substring search: given a haystack and a needle, return the index of the first occurrence of the needle in the haystack, or -1 if it's not there. Naive O(n*m) won't cut it here.

“Started with the brute force and they let me finish before asking what the complexity was.”

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Google·Product Manager·Onsite - Product Sense / Strategy

Jul 2026
Google PM interview with one of those product design questions that sounds like a joke but they're completely serious about it. Just the one question, no warmup, no small talk.
  • Design a Netflix-style streaming product for dogs.

“I laughed a little when they said it and immediately regretted that.”

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Google·Software Engineer·Technical Phone Screen

Jul 2026
Interviewed at Google, got asked the classic 'walk me through a technical problem you solved' question. Pretty standard screen, nothing too wild.
  • Walk me through a technical issue you encountered and resolved in your current role.

“Picked a debugging story I'd told before but fumbled the delivery a bit.”

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Google·Software Engineer·Onsite - Coding / Algorithms

Jul 2026
Google SWE coding round, one algorithmic problem about tokens moving on a 1D board. Pretty niche constraint (exactly 3 steps right) that pushed it away from obvious DP patterns at first glance.
  • Given a 1D board represented as a string with tokens and coins, each token can only move exactly 3 steps to the right per move. A token collects a coin if it lands on one. Find the maximum number of coins collectable across all tokens with optimal movement.

“The 'exactly 3 steps' constraint is the whole puzzle.”

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Google·Software Engineer·Onsite - Coding / Algorithms

Jul 2026
Google SWE coding round, one problem the whole session. Classic algorithmic puzzle that looks manageable until you realize the naive approach won't cut it at scale.
  • You're given a list of envelopes defined by width and height. An envelope can contain another only if both dimensions are strictly larger. What's the maximum number of envelopes you can nest inside each other?

“I knew LIS was involved pretty quickly but fumbled the sorting step for a few minutes.”

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Google·Software Engineer·Onsite - Behavioral / Leadership

Jul 2026
Behavioral round at Google for a software engineering role. One question, but it had a lot of layers to it and I probably underestimated how much they'd dig into the stakeholder side of things.
  • Tell me about a time when the scope or requirements of a project changed midway through. What was the change, who drove it, and how did you handle the impact on timeline, design, and the team? How did you re-prioritize and get stakeholders back on the same page, and what came out of it?

“I had a decent story ready but I spent too long on the 'what changed and why' part and ran out of steam before getting to the stakeholder re-alignment piece, which is clearly what they cared about most.”

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