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Google interview notes, page 65 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·Technical Phone Screen

May 2026
Google SWE coding round with a tricky dynamic programming problem that flips the usual coin change problem on its head. Interesting question, not your typical leetcode grind.
  • Given a dp array where dp[i] represents the number of ways to make amount i using some set of coin denominations, reverse-engineer the original coins array. Assume the solution is unique. For example, given dp = [1, 1, 2, 2, 3, 4, 4, 5], recover the coins that produced it.

“This one took me a minute to even understand what they were asking.”

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Google·Software Engineer·Technical Phone Screen

May 2026
Google system design screen, focused on web performance. Pretty straightforward topic but the breadth they expected caught me off guard a bit.
  • What are the major factors you would consider to improve response time and latency for a website?

“I started with the obvious stuff like caching and CDNs and the interviewer just kind of waited.”

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Google·Software Engineer·Onsite - Behavioral / Leadership

May 2026
Behavioral round at Google for a SWE role. Just the one question about adversity, which sounds straightforward until you're actually sitting there trying to pick the right story.
  • Tell me about a time you overcame a significant challenge or setback.

“I had three stories prepped and somehow picked the weakest one in the moment.”

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Google·Product Manager·Onsite - Product Sense / Strategy

May 2026
Interviewed for a PM role at Google, got a question squarely in the GenAI safety space. Short on details but the question itself is the kind that separates people who've actually thought about responsible AI from those who just know the buzzwords.
  • How do you approach GenAI safety when building consumer-facing products?

“This one has a lot of surface area and I kind of rambled at first.”

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Google·Data Scientist·Technical Phone Screen

May 2026
Google DS interview with a meaty A/B testing question that goes way deeper than just 'is the p-value under 0.05.' The whole thing revolves around a CTR lift that looks real but might not be, and you have to walk through a bunch of layers to figure out what's actually going on.
  • An A/B test shows a statistically significant +1.2% relative increase in CTR (clicks/impressions) in the treatment group. How would you diagnose whether this change is real or an artifact, covering numerator/denominator decomposition, composition effects, instrumentation guardrails, statistical methodology for ratio metrics, and follow-up analyses?

“This question is basically five questions stapled together, which I did not fully appreciate until I was already two minutes into talking about variance estimation and realized I hadn't touched Simpson's paradox yet.”

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Google·Software Engineer·Onsite - Coding / Algorithms

May 2026
Google SWE coding round with a graph connectivity problem that had a tricky follow-up. The base case was manageable but the unfriend extension is where things got interesting.
  • Given n people and a stream of timestamped friendship events (t, a, b), find the earliest time t at which all n people are in a single connected group. Return -1 if it never happens.
  • Follow-up: the event stream can now also include unfriend events. How do you handle deletions and still return the earliest time the graph becomes fully connected?

“Pretty standard union-find setup once you see it.”

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Google·Product Manager·Onsite - Product Sense / Strategy

May 2026
PM interview at Google with a pricing case question. Pretty classic product sense territory but the Amazon angle made it more interesting than a typical 'how would you price X' prompt.
  • How would you price the Amazon Kindle at launch?

“I went straight to hardware cost recovery and got stuck there for a bit.”

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Google·Software Engineer·Technical Phone Screen

May 2026
Google coding screen, string manipulation problem that looked easy until I started thinking about all the ways it could break. Pretty standard technical phone screen vibe but the edge case discussion is where they really pushed.
  • Given a snake_case string, convert it to camelCase. The first word stays lowercase, each subsequent word gets its first letter capitalized, and underscores are removed. Walk through your approach and discuss edge cases like leading, trailing, or consecutive underscores, as well as empty input.

“I jumped straight to the split-on-underscore approach and it worked for the basic case.”

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Google·Software Engineer·Technical Phone Screen

May 2026
PhD intern coding round at Google, one problem, the whole session was basically a deep dive on adaptive group testing with a black-box oracle. Felt like a research-flavored algo question dressed up as a coding interview.
  • You have N test items and a black-box function that returns true only if a given subset contains no bad pairs. Using as few calls to this function as possible, find all bad pairs among the N items.

“I knew binary search had to be involved but my first instinct was just to test all pairs, which is O(N^2) and the interviewer's face said it all.”

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Google·Product Manager·Onsite - Product Sense / Strategy

May 2026
Google PM interview with a pricing and product strategy question about whether gift wrapping should be bundled into a Prime-like membership, given it currently costs $4 and sits outside the subscription.
  • Gift wrapping is currently a $4 add-on that isn't included in Prime. How would you decide whether to bring it into the Prime subscription?

“I went straight to unit economics and kind of forgot to anchor on the user side first.”

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