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Google interview notes, page 188 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

Jun 2026
Google PM interview with a single product design question. Pretty open-ended, which I wasn't fully prepared for.
  • Design a cereal dispenser.

“My first instinct was to jump straight into features and I had to pull myself back.”

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Google·Software Engineer·Onsite - Coding / Algorithms

Jun 2026
Google SWE interview with a classic LRU cache design question. Pretty standard for this level but the O(1) constraint is where things get interesting and where I almost fumbled it.
  • Design and implement an LRU cache with get and put operations, both running in O(1) time. Evict the least recently used entry when capacity is exceeded.

“I knew the answer involved a hash map and a doubly linked list but explaining why it needs to be doubly linked took me a second longer than it should have.”

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Google·Software Engineer·Onsite - System Design / Architecture

Jun 2026
Interviewed for an engineering manager role at Google. One question that stuck with me was a distributed systems edge case disguised as a product question. Short session but mentally taxing.
  • How would you handle Gmail accounts when two users try to register the same username from different countries at the same time?

“This felt like a product question at first and I went down the wrong path talking about UX for username conflicts.”

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Google·Software Engineer·Onsite - System Design / Architecture

Jun 2026
Did a system design round at Google for what seemed like a chatbot-focused role. One question, pretty open-ended, and I spent way too long overthinking the scope before actually saying anything useful.
  • Design a customer support chatbot.

“I went straight to the NLP pipeline and basically ignored the infrastructure side for the first ten minutes.”

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Google·Software Engineer·Onsite - Coding / Algorithms

Jun 2026
Google SWE coding round, got hit with a classic cache design problem. Nothing too surprising but the O(1) constraint is where people usually trip up if they haven't thought about it before.
  • Design and implement an LRU Cache that supports get and put operations, both running in O(1) time. When the cache is full, the least recently used entry should be evicted on insert.

“The problem itself isn't hard to understand but I fumbled for a minute on the data structure choice.”

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Google·Software Engineer·Technical Phone Screen

Jun 2026
Google coding round, one problem the whole time. The question looked deceptively simple but the transitive grouping part is where things get interesting and where I almost went down the wrong path.
  • Given a list of two-digit integers, group numbers together if they share any digit. Grouping is transitive, so if A shares a digit with B and B shares a digit with C, all three are in the same group. Return the size of the largest group.

“My first instinct was to do pairwise comparisons between all numbers and BFS from there.”

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Google·Software Engineer·Onsite - System Design / Architecture

Jun 2026
Google SWE system design round. One question, pretty classic high-scale scenario but the specifics made it tricky to nail down cleanly.
  • How would you design a ticketing platform's backend to handle massive concurrent traffic when a popular event goes on sale?

“I jumped straight to a queue-based approach and started talking about rate limiting before I'd even scoped the problem properly.”

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Google·Software Engineer·Onsite - Product Sense / Strategy

Jun 2026
Google BA interview with a single analytical question about evaluating a new onboarding experience. Pretty open-ended, which I wasn't fully prepared for.
  • A new onboarding experience was just launched. How would you go about analyzing its performance?

“My first instinct was to jump straight to metrics like activation rate and drop-off points, but I realized mid-answer I hadn't said anything about what 'good' even looks like for this onboarding.”

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Google·Software Engineer·Onsite - Behavioral / Leadership

Jun 2026
Behavioral round at Google for a software engineering role. Just one question but it required a pretty specific kind of answer and I wasn't totally prepared for the depth they expected.
  • What is your key strength, how did you apply it within your team, and what outcomes did it lead to?

“I picked something safe like 'problem solving' and immediately regretted it because the follow-up was basically 'okay but prove it.' Had to scramble to tie it to a real team situation with measurable results.”

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Google·Product Manager·Onsite - Product Sense / Strategy

Jun 2026
PM interview at Google focused on a deep-dive into a SaaS pricing and packaging strategy project. One question, lots of follow-ups, and I left unsure whether I gave enough structure or too much.
  • Walk me through a SaaS pricing and packaging strategy project you led, including your goals, the obstacles you ran into, how you approached it, what data and tools you used, and what the results were.

“This is the kind of question where you think you have a good story and then halfway through you realize you're just listing things.”

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