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Google interview notes, page 11 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 product strategy question about launching a new coding language. Single question, no frills, just a big open-ended scenario that required thinking through adoption, ecosystem, and competition all at once.
  • Google wants to launch a new coding language. How should it approach this?

“I went straight to market positioning and kind of forgot to anchor on why Google would even do this in the first place.”

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Google·Software Engineer·Onsite - System Design / Architecture

Apr 2026
Google system design round for a software engineer role. The question was a follow-up to a grid-based BFS problem, pushing into dynamic updates and data structure trade-offs. Pretty intense once the constraints started piling on.
  • You have a grid where taxis can come online or go offline at any time. Design a system that keeps track of the shortest distance from every cell to the nearest currently active taxi, and handles updates efficiently as taxis appear and disappear.

“Started with the naive answer: just re-run multi-source BFS every time something changes.”

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Google·Product Manager·Onsite - Product Sense / Strategy

Apr 2026
PM interview at Google with a market entry question about launching a kids' bicycle business. Pretty classic product strategy framing but the pre-work angle made it a bit more interesting than a straight go-to-market prompt.
  • What preliminary work would Google need to do before entering a new bicycle business aimed at children?

“I spent too long on the market sizing piece and kind of glossed over the regulatory and safety angle, which in retrospect is probably the most important thing when your target user is a kid.”

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Google·Product Manager·Onsite - Behavioral / Leadership

Apr 2026
Behavioral round at Google for a PM role. Just one question but it went deeper than I expected, they really wanted to hear how you actually navigated the relationship, not just that you worked with someone external.
  • Have you ever worked with an external subject matter expert? How did you approach that collaboration?

“I had a solid example ready but fumbled the structure a bit.”

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Google·Software Engineer·Onsite - Behavioral / Leadership

Apr 2026
Behavioral question from a Google interview, pretty standard people-management territory but it made me think harder than I expected about what 'comfortable' actually means in a team context.
  • A coworker on your team is feeling uncomfortable. How do you help them feel more at ease?

“I rambled a bit on this one.”

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Google·Product Manager·Onsite - Product Sense / Strategy

Apr 2026
Google PM interview, product sense round, one question about improving YouTube for creators. Not much context to go on but it's a classic Google question so figured I'd log it.
  • How would you improve YouTube for content creators?

“This one sounds broad until you're actually in it.”

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Google·Product Manager·Onsite - Product Sense / Strategy

Apr 2026
Google PM interview with a single product design question about museums. Pretty open-ended, which I wasn't fully prepared for.
  • Design an app that helps a museum generate revenue.

“I jumped straight into features without anchoring on which type of museum or who the users actually are.”

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Google·Product Manager·Onsite - Product Sense / Strategy

Apr 2026
Google PM interview, product design question framed around a startup context. One question but it had a lot of layers to it and I don't think I handled the ambiguity as well as I could have.
  • You're the founder of a startup that sells to museums. How would you design a product for museum visitors?

“The twist here is the dual customer thing.”

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Google·Machine Learning Engineer·Technical Phone Screen

Apr 2026
Google ML Engineer interview with a tricky string problem that looks deceptively simple. The necklace question was the kind of thing where you either see the insight or you spin your wheels forever.
  • Given a circular string of D's and R's where the count of D's equals the count of R's, find a way to cut and split it between two people so both halves have an equal number of D's and R's.

“The key thing I kept missing early on was that you don't need more than two cuts.”

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Google·Product Manager·Onsite - Product Sense / Strategy

Apr 2026
Google PM interview, one question about designing for accessibility on a major professional platform. Pretty open-ended and I wasn't totally sure how deep they wanted me to go.
  • How would you design a product experience for users with disabilities on LinkedIn?

“I started with user segmentation, which felt right, but I spent too long listing disability types instead of picking one and going deep.”

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