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Google interview notes, page 12 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 - System Design / Architecture

Apr 2026
Google system design round, just one question about YouTube Search. Sparse on details but it's the kind of open-ended thing that can go in a hundred directions depending on what the interviewer wants to dig into.
  • Design the YouTube Search system.

“This one is deceptively wide.”

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Google·Product Manager·Onsite - Behavioral / Leadership

Apr 2026
Behavioral screen for a PM role at Google, just the one question about handling negative feedback. Pretty standard but it still tripped me up more than I expected.
  • Tell me about a time you received negative feedback and how you handled it.

“I had a story ready but halfway through I realized it made me sound defensive rather than growth-oriented.”

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Google·Product Manager·Onsite - Product Sense / Strategy

Apr 2026
Google PM interview with a classic market sizing question set in a future tech scenario. Pretty standard format but the speculative angle made it trickier than expected.
  • Assume AR-enabled glasses become a real product category by 2031. How many units do you estimate will ship globally that year, and what factors drive your estimate?

“The future-tense framing tripped me up more than I expected.”

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Google·Software Engineer·Technical Phone Screen

Apr 2026
Google coding interview, one algorithmic problem about a lock and counting turns. Short session, not much context given beforehand.
  • Given a combination lock, find the minimum number of turns needed to open it.

“Classic BFS problem once you see it, but I didn't see it right away.”

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Google·Product Manager·Onsite - Product Sense / Strategy

Apr 2026
Google PM interview with a single scenario question that puts you in the CEO seat of a healthtech startup. Pretty open-ended, no right answer, but the scope of it is bigger than it sounds.
  • You're the CEO of a healthtech startup with technology capable of detecting 20 deadly diseases. How would you approach building and growing this company?

“I went straight to GTM and market sizing, which in hindsight was the wrong instinct.”

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Google·Software Engineer·Onsite - System Design / Architecture

Apr 2026
Google SWE system design round where the whole session was basically one big OOP/design problem about a restaurant waitlist. More depth required than I expected, especially once concurrency came up.
  • Design and implement a restaurant waitlist system with operations to add a party, seat them, cancel their spot, estimate wait time, and list current parties in order.
  • How would you compute an estimated wait time given that tables are partitioned by size and a party might be compatible with multiple table types?
  • How would you handle concurrency if the waitlist system is shared across multiple devices, like a host stand and a tablet used by a different staff member?

“I jumped straight to a queue backed by a list and felt good about it for maybe two minutes.”

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Google·Machine Learning Engineer·Technical Phone Screen

Apr 2026
Google MLE interview with a coding problem on car rental scheduling and a system design discussion tacked on at the end. The coding part went fine, the system design part was a bit of a mess for both me and the interviewer apparently.
  • Given a list of car rental requests each with a pickup and return time, find the minimum number of cars needed to fulfill all requests without conflicts.
  • Extend the solution so that each car object tracks which rental requests it was assigned to, storing them in its own rental record list.
  • How would you handle user login logs that are sharded across multiple servers and regions? For example, how do you aggregate or query them reliably?

“Sweep line was the right move here.”

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Google·Product Manager·Onsite - Product Sense / Strategy

Apr 2026
Prepped for a Google PM interview and got hit with a metrics question framed around Airbnb. Short session, nothing too wild, but it made me realize how much I underestimate cross-company product sense questions.
  • What is the most important metric for Airbnb?

“I went straight to nights booked and tried to justify it as the north star.”

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Google·Product Manager·Onsite - Product Sense / Strategy

Apr 2026
Google PM interview, one question about designing a product for users with dietary or food-related restrictions. Pretty open-ended, which I wasn't fully prepared for.
  • Design a product for people who have food restrictions.

“I jumped straight into features and the interviewer just kind of waited.”

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Google·Product Manager·Onsite - Product Sense / Strategy

Apr 2026
Google interview with what felt like a classic 'big thinker' question. No right answer, just a lot of rope to hang yourself with.
  • If you could solve any single problem in the world, with no constraints on resources or scale, what would you pick and how would you approach it?

“I went with climate change and immediately regretted how generic it sounded.”

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