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Google interview notes, page 195 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

Jul 2026
Google SWE interview that went deep into concurrency internals. The core ask was building a future/promise abstraction from scratch and then using it to parallelize array processing, no CompletableFuture allowed. Harder than it sounds when you're on the spot.
  • Design and implement an AsyncFuture<T> class from scratch in Java, including the completion state machine, thread-safe callback registration, and composition operators like thenApply, thenCompose, and thenCombine. You cannot use CompletableFuture.
  • What clarifying questions would you ask before diving into implementing an async future and a parallel array-processing routine on top of it?
  • Using your AsyncFuture primitive, implement a parallelProcess routine that splits a large int array into chunks, processes each chunk concurrently, and folds the results into a single future without blocking any pool thread.
  • How would you add cancellation and timeouts to your AsyncFuture, and what should happen to a callback that is already mid-execution when cancellation arrives?
  • Your callbacks run on whichever thread completes the future. What are the risks of that design, and how would you offload them to a separate executor?
  • How would you implement an allOf over N futures using a single atomic counter instead of nesting thenCombine calls pairwise, and what does that do to the critical-path depth?

“This was the main event and it ate most of the session.”

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Google·Product Manager·Onsite - Product Sense / Strategy

Jul 2026
Interviewed at Google for a product role and got hit with a content policy question about YouTube. Not the most technical round but it made me think harder than expected.
  • How would you approach the problem of misleading videos on YouTube?

“I went straight to defining what 'misleading' actually means and that took longer than I expected because the interviewer kept pushing back.”

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Google·Product Manager·Onsite - Product Sense / Strategy

Jul 2026
Got a product sense question for a PM role at Google about launching into a market I'd never really thought about before. Not a lot of context to go on, but the question itself was interesting enough to chew on.
  • How would you approach launching a new product targeting the blue-collar service industry?

“This tripped me up more than I expected.”

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Google·Software Engineer·Onsite - Product Sense / Strategy

Jul 2026
Bizops interview at Google with a classic market entry case. One question, pretty open-ended, and I spent most of the time second-guessing whether I was being too broad or not broad enough.
  • How would you design a strategy for Google to enter the TV business?

“I jumped straight into hardware vs.”

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Google·Software Engineer·Technical Phone Screen

Jul 2026
Interviewed at Google, got a data interpolation problem. Not much to say, it was a single technical question and the content was pretty thin on details.
  • Given a dataset with missing values, how would you interpolate the data to fill in the gaps?

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Google·Product Manager·Onsite - Product Sense / Strategy

Jul 2026
Product monetization case for Google's messaging product. Pretty open-ended, no right answer, but you could tell they wanted structure and real business thinking rather than a brain dump of every possible revenue stream.
  • You're the PM for a Google messaging service. How would you approach monetizing it?

“I started by trying to anchor on user value before jumping to revenue models, which I think was the right instinct.”

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Google·Software Engineer·Hiring Manager Screen

Jul 2026
Interviewed for a BA role at Google and got hit with a data quality question that felt deceptively simple but had a lot of layers to it.
  • Can you describe a time you had to work with poor-quality data, or when you proposed new tracking to fill a gap?

“I went straight into a story about a dashboard with missing event data and how I flagged it to the eng team.”

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Google·Software Engineer·Onsite - Coding / Algorithms

Jul 2026
Google coding round with one problem that looked like a straightforward grid traversal until it wasn't. The relaxed movement rule tripped me up more than I expected.
  • Given a 2D matrix, find the longest path where you can move up, down, left, or right. The catch: each next cell must be less than or equal to the current cell OR less than or equal to the cell before that in the path (not just the immediate predecessor).

“I went straight for DFS with memoization like it was a standard decreasing-path problem and then realized mid-explanation that the transition rule is weird.”

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Google·Technical Program Manager·Hiring Manager Screen

Jul 2026
TPM screen at Google, one question about communication skills. Pretty light on technical content but still worth thinking through.
  • How would you explain a technical concept to a non-technical person?

“I went with an analogy about networking and traffic lights, which felt clever in the moment but I think I over-engineered it.”

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Google·Machine Learning Engineer·Onsite - System Design / Architecture

Jul 2026
Google ML system design round focused entirely on building an app recommendation system for an app store. Pretty broad scope, they wanted you to go deep on basically every layer from retrieval to serving to experimentation.
  • Design an ML-powered app recommendation system for an app store, covering candidate generation, ranking, serving infrastructure, metrics, cold-start handling, and A/B testing.

“This is the whole interview in one question basically.”

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