LinkedIn·Product Manager·Onsite - Product Sense / Strategy
- LinkedIn Stories was a product that failed. What would you have done differently?
“This one tripped me up more than I expected.”
Large Enterprises
Most of these LinkedIn write-ups come from Software Engineers (156), then Product Managers (66) and Data Scientists (37). The most reported rounds are the technical phone screen (169), the product sense round (62), the system design round (42) and the behavioral / leadership round (20).
316 interview notes · updated Oct 2026
“This one tripped me up more than I expected.”
“I started with the functional requirements which felt okay, multiple window sizes, per-region vs global aggregation, query latency targets.”
“I went straight to the user problem angle, which felt right, but I spent too long on the setup and barely had time to prioritize between ideas.”
“Prefix sum plus binary search, pretty standard.”
“My first instinct was to just call the function a bunch of times and map ranges, which is completely wrong because you can't fix bias that way.”
“Classic improve-a-product question but the fact that it's their own product adds some pressure.”
“I knew the mechanics but fumbled the explanation.”
“I got the core loop down fine: initialize centroids, assign points by nearest Euclidean distance, recompute means, repeat.”
“My first instinct was to just build the digit string for each word and throw everything into a hashmap keyed by that string.”
“Classic BFS word ladder.”