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Meta interview notes, page 136 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·Software Engineer·Technical Phone Screen

May 2026
Meta research scientist interview that opens with some small talk before you present one of your own papers. The format is pretty conversational but don't let that fool you, the follow-ups get deep fast.
  • Walk us through one of your research papers. What motivated the work, how did you approach it methodologically, and what did you find?
  • What are the limitations of this work, and what would you do differently if you were starting over?
  • How does your research connect to what's happening in the field right now? Where does it fit relative to current trends?

“They let you pick from two papers you bring, so you have some control here.”

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Meta·Product Manager·Onsite - Product Sense / Strategy

May 2026
Meta PM interview with a product design question about gardening. Pretty niche prompt but the core skills they're testing are the same as any other product sense round.
  • Design a gardening product for Meta.

“My first reaction was confusion, like why does Meta care about gardening.”

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Meta·Product Manager·Onsite - Product Sense / Strategy

May 2026
Meta PM interview with a single product design question focused on teenagers. Pretty open-ended, which sounds fun until you're actually in it and realize you have no idea where to anchor.
  • You're a PM at Facebook. Design a product for teenagers.

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

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Meta·Software Engineer·Hiring Manager Screen

May 2026
Interviewed for a BA role at Meta, got a metrics question that sounds straightforward but really isn't once you're sitting there trying to figure out which numbers actually matter.
  • What KPIs would you track to measure the overall health of a company?

“I went straight to revenue and DAU and immediately felt like I was listing things off a Wikipedia page.”

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Meta·Product Manager·Onsite - Product Sense / Strategy

May 2026
PM interview at Meta with a product metrics question centered on a hypothetical Jobs feature launch. Just one question but it had a lot of surface area, short-term vs long-term framing made it trickier than it sounds.
  • You're a PM at Meta launching a new Jobs feature in two weeks. How do you measure success in the short term versus the long term?

“I started with the obvious stuff, job postings created, applications submitted, and then kind of stalled when trying to define what 'long term success' actually means for a Jobs product inside a social network.”

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Meta·Software Engineer·Technical Phone Screen

May 2026
Phone screen for a Software Engineer role at Meta with two back-to-back coding problems. Nothing too wild but the second one had a complexity requirement that tripped me up a bit.
  • Given an integer array and a target integer k, count the number of contiguous subarrays whose elements sum to exactly k.
  • Given an array where all adjacent elements are distinct, find any index that is a local minimum (smaller than its neighbors) in O(log n) time.

“Went with prefix sums and a hashmap, which is the right move.”

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Meta·Product Manager·Onsite - Product Sense / Strategy

May 2026
Barely anything to go on here, just a single vague question about Meta's weaknesses with no context on role, round, or how it went.
  • What do you think Facebook could do better or improve on?

“Classic critique question.”

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Meta·Product Manager·Onsite - Product Sense / Strategy

May 2026
PM interview at Meta, one question about measuring success for a local ads product at launch. Not much else to go on but it was a product metrics type question that required some structure.
  • How would you measure the success of a local ads product right after it launches?

“I went straight to revenue and click-through rate and the interviewer kind of waited like there was more.”

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Meta·Data Scientist·Technical Phone Screen

May 2026
Meta data science technical screen with a probability/Bayesian reasoning question that looked straightforward on the surface but had a real gotcha in part (c).
  • In a population where 5% of users are 'bad' and 95% are 'good', a model has 95% sensitivity and 95% specificity. If the model flags someone as 'bad', what's the actual probability they're bad? And if it predicts 'good', what's the probability they really are good? Then explain how those probabilities shift as prevalence changes and what that tells us about base rates.

“The math for parts (a) and (b) is just Bayes' theorem.”

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Meta·Product Manager·Onsite - Product Sense / Strategy

May 2026
Meta PM interview with a product sense question about a specific app feature. Pretty focused, just the one question but it had a few layers to it.
  • Why do you think Meta built the notification bell feature in its mobile app, and how would you define goals and success metrics for it?

“Three questions in one, which I didn't fully appreciate until I was already mid-answer.”

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