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Google interview notes, page 144 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
PM strategy question for Google, framed around Reddit's monetization problem. Pretty open-ended, which I wasn't fully prepared for.
  • You're a PM at Reddit. How would you build a strategy to monetize end consumers directly?

“I went straight to ads and subscriptions without really thinking about what makes Reddit different from other platforms.”

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Google·Machine Learning Engineer·Technical Phone Screen

Jun 2026
Google MLE interview, technical round focused heavily on the messy realities of building models in production. One question but it had a lot of surface area.
  • Walk me through the most significant challenges you ran into during model development, things like data quality problems, leakage, class imbalance, overfitting, non-stationarity, limited labels, or latency constraints. How did you catch each issue, what options did you weigh, what did you actually do, and what did the metrics look like before and after?

“This question sprawls in a way that's hard to prepare for cleanly.”

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Google·Product Manager·Onsite - Behavioral / Leadership

Jun 2026
PM interview at Google with a behavioral question about negotiation. Not much context shared but it reads like a standard leadership-style screen.
  • Tell me about a time you negotiated an outcome that worked for everyone involved.

“Classic question but I always fumble the setup.”

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Google·DevOps Engineer·Onsite - Behavioral / Leadership

Jun 2026
Behavioral round at Google for an SRE role. Just one question but it took up most of the time, they really dug into the details.
  • Describe a situation where someone changed the requirements or direction after you had already started leading a project. What did you do?

“I had a decent story ready but partway through telling it I realized the pivot in my example was pretty minor and they kept probing for more.”

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Google·Product Manager·Onsite - Behavioral / Leadership

Jun 2026
Google PM interview, one behavioral question about cross-functional conflict. Short and to the point, but those questions always feel deceptively simple until you're actually in the room.
  • Tell me about a time you had a conflict with engineers on your team.

“I had a story ready but I think I leaned too hard into making myself look reasonable, which probably came across as sanitized.”

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Google·Product Manager·Onsite - Product Sense / Strategy

Jun 2026
Product strategy question for a PM role at Google, basically a classic 'you're now the head of X, what do you do' setup. One question, open-ended, lots of room to go sideways.
  • You are the Head of Product at Spotify. What goals and strategies would you set?

“I spent the first minute just trying to figure out where to even start.”

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Google·Product Manager·Onsite - Product Sense / Strategy

Jun 2026
Google PM interview with a single product design question about building a parking garage for a high-tech shopping center. Pretty open-ended and I wasn't totally sure where they wanted me to take it.
  • How would you design a parking garage for a high-tech shopping center?

“I spent the first minute trying to figure out if this was a product question or a systems question and kind of hedged by doing both badly.”

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Google·Software Engineer·Onsite - Coding / Algorithms

Jun 2026
Google SWE coding round, one algorithmic problem the whole session. The problem looked deceptively clean but the follow-up constraint is where things get interesting.
  • Given an integer array, find a pair of indices (i, j) where the values at both indices are equal and the subarray sum from i to j is maximized. Return the indices. Follow-up: solve it using O(1) extra space.

“My first instinct was a hashmap storing the last seen index of each value, then compute prefix sums between matching pairs.”

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Google·Product Manager·Onsite - Product Sense / Strategy

Jun 2026
Interviewed for a PM role at Google Cloud and got hit with a resource constraint scenario that forced some real prioritization thinking. Short session, one meaty question, no fluff.
  • You're a PM at Google Cloud and can only serve 3 out of 10 customers. How do you decide which ones to prioritize?

“My first instinct was to jump straight into a scoring rubric but I pulled back because it felt too mechanical for what they were actually testing.”

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Google·Product Manager·Onsite - Product Sense / Strategy

Jun 2026
Google PM interview with a single product design question about building a cinema app. Pretty open-ended, which sounds fun until you're actually in it.
  • Design an app for a cinema. Walk through your approach.

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

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