Google·Product Manager·Onsite - Product Sense / Strategy
- You have an ML product that can summarize text of any length. How would Google leverage this?
“I went straight to Search and Docs integration, which felt obvious in retrospect.”
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
“I went straight to Search and Docs integration, which felt obvious in retrospect.”
“I stared at this for a bit before realizing the answer is just pick any single element and you get 2x that element's value.”
“Knew this type of question was coming and still fumbled the setup.”
“I rambled a bit on the 'like' side and then soft-pedaled the 'dislike' part, which I think was a mistake.”
“I went straight to the search indexing layer and spent probably too long on it.”
“I started by trying to segment who's actually buying smart speakers and why, which felt right, but I spent too long on the user breakdown and rushed the actual strategy part.”
“The naive O(n^2) solution is obvious but they're clearly fishing for something better.”
“I went straight into segmenting the drop by user type and surface area, which felt right at first.”
“My first instinct was to just list features for elderly people and call it a day, but that felt too shallow so I tried to slow down.”
“My first instinct was brute force: check every possible top-left corner, every possible size.”