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Meta interview notes, page 177 of 238

FAANG / Big Tech

Most of these Meta write-ups come from Software Engineers (1,194), then Data Scientists (489) and Product Managers (453). The most reported rounds are the technical phone screen (1,190), the product sense round (466), the system design round (255) and the behavioral / leadership round (205).

2377 interview notes · updated Jul 2026

Meta·Product Manager·Onsite - Product Sense / Strategy

Jun 2026
Meta PM interview with a single product design question about building an investment app. Pretty open-ended, which sounds fun until you're actually sitting there trying to figure out where to start.
  • Design an investment app.

“I went straight to user segmentation first, which in hindsight was the right call but I spent too long on it and rushed the actual feature prioritization.”

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Meta·Software Engineer·Onsite - Behavioral / Leadership

Jun 2026
Meta product analyst interview with a deep dive into a single end-to-end project. The whole session was basically one question that kept branching into nine different directions, which I was not fully prepared for.
  • Walk me through a high-impact project you personally drove from start to finish, covering the problem, your role, how you defined success, your analysis approach, cross-functional work, trade-offs, launch, results, and what you'd do differently.

“This is the kind of question that sounds manageable until you realize they actually want to go nine layers deep on a single project.”

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Meta·Product Manager·Onsite - Product Sense / Strategy

Jun 2026
Meta PM interview, one question about measuring success for Facebook Groups. Not much context around the round but it felt like a product sense screen.
  • How would you measure success for Facebook Groups?

“This one sounds straightforward until you actually try to answer it.”

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Meta·Software Engineer·Onsite - Coding / Algorithms

Jun 2026
Meta SWE coding round with four back-to-back algorithm problems. Solid mix of tree traversals and array work, nothing too exotic but the follow-ups on a couple of them added real pressure.
  • Given a binary tree, return lists of node values grouped by vertical column, from leftmost to rightmost. Nodes sharing the same column and row should appear in left-to-right order. What are the time and space complexities? Follow-up: how would you support streaming insertions and real-time queries?
  • Given a binary tree, return the sequence of nodes visible when looking at the tree from the right side. How do you handle tie-breaking and missing children? Provide both a BFS and a DFS solution with complexities.
  • Given a sorted integer array and a target T, count the number of unique index pairs (i, j) where i < j and nums[i] + nums[j] equals T. Solve it in O(n) time with O(1) extra space, and handle duplicate values correctly.
  • Given a binary tree, output a level-order traversal where each level alternates direction, left-to-right then right-to-left and so on. Discuss the tradeoffs between using a deque-based BFS approach versus a DFS approach that tracks the level number.

“The base problem I handled fine, BFS with a column offset tracked per node, dump into a sorted map.”

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Meta·Product Manager·Onsite - Product Sense / Strategy

Jun 2026
Meta PM interview focused on ads monetization within Reels. Single question, product metrics focus, pretty standard for a senior PM loop.
  • You're the PM for Ads on Facebook Reels. How do you define and measure success for that product?

“I went straight for revenue metrics and kind of forgot to anchor on user experience first.”

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Meta·Product Manager·Onsite - Behavioral / Leadership

Jun 2026
Interviewed for a PM role at Meta. One behavioral question, pretty standard stuff, but it's the kind that sounds easy until you're actually sitting there trying not to sound like you just read a Medium article about disruption.
  • Can you walk me through a time you challenged an existing process or assumption at work?

“I had an answer prepped but it felt thin the moment I said it out loud.”

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Meta·Software Engineer·Technical Phone Screen

Jun 2026
Meta coding screen for a software engineer role. One algorithmic problem, trie-flavored, the kind that looks easy until you start thinking about edge cases.
  • Given a list of distinct words, find the shortest prefix for each word that doesn't match the start of any other word in the list. Return the results in the original input order.

“My first instinct was to brute force it by comparing prefixes pairwise and I actually started explaining that out loud before catching myself.”

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Meta·Data Scientist·Onsite - Behavioral / Leadership

Jun 2026
Behavioral round at Meta for a Data Scientist role, focused on cross-functional influence and product decision-making. Pretty standard stuff on paper but the question had enough depth to trip you up if you went too abstract.
  • Tell me about a time you influenced multiple stakeholders to drive a product decision. How did you communicate trade-offs, align teams, and see it through to execution?

“The multi-part structure is where I lost time.”

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Meta·Software Engineer·Technical Phone Screen

Jun 2026
Meta coding screen for a software engineer role. The problem looked simple at first glance but the follow-up about trading memory for speed is where things got interesting.
  • Given an unsorted integer array, write a function to find the minimum value and a separate function to find any value that appears most frequently. Start with a basic solution and walk through its time and space complexity.
  • How would you improve the running time of your solution by using extra memory? What are the trade-offs involved, and can you implement the faster version?

“The min part is fine, just a linear scan.”

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Meta·Product Manager·Onsite - Product Sense / Strategy

Jun 2026
Interviewed for a PM role at Meta and got hit with a metrics question about Facebook Videos. Pretty standard product analytics territory but the depth they expected was a bit more than I anticipated.
  • How would you determine whether Facebook Videos is successful?

“I jumped straight to engagement metrics like watch time and shares, which felt right, but I could tell they wanted me to think harder about what 'success' actually means for a feature sitting inside a social platform.”

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