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Meta interview notes, page 6 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·Onsite - System Design / Architecture

Apr 2026
System design round at Meta for a software engineering role, focused entirely on building a news feed from scratch. Dense question with a lot of moving parts and I definitely felt the time pressure.
  • Design a news feed system similar to Facebook or Twitter that supports posting content, viewing a personalized feed, and per-post comments and likes.

“This question is basically a marathon disguised as a single prompt.”

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Meta·Software Engineer·Hiring Manager Screen

Apr 2026
Interviewed at Meta for a marketing role, just one question from what I can tell. Not much to go on but I'll share what I remember.
  • What are the biggest challenges marketers face today?

“Pretty broad opener.”

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Meta·Product Manager·Onsite - Behavioral / Leadership

Apr 2026
Behavioral round at Meta for a PM role. Just the one question from what I can tell, but it's the kind that sounds easy and then you're mid-answer realizing you have no idea where you're going with it.
  • Tell me about a time you proposed an idea that others didn't agree with.

“I had a story ready but halfway through I realized it made me sound like I just gave up when people pushed back.”

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Meta·Machine Learning Engineer·Onsite - System Design / Architecture

Apr 2026
Meta ML engineer interview, system design round focused on building a personalized news ranking system. Pretty open-ended, which I wasn't fully prepared for.
  • Design a personalized news ranking system.

“I jumped straight into the ML model before nailing down the problem scope, which I think hurt me.”

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Meta·Product Manager·Onsite - Product Sense / Strategy

Apr 2026
PM interview at Meta, product sense round focused on an internal tool. Just one question but it had a lot of surface area and I don't think I covered it as well as I should have.
  • As a PM at Meta, what key metrics would you track for Workplace Chat?

“I jumped straight into engagement metrics like DAU and message volume, which felt safe but probably too shallow.”

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Meta·Product Manager·Onsite - Product Sense / Strategy

Apr 2026
Meta PM interview with a single product design question. Pretty open-ended, which sounds fun until you're sitting there trying to figure out what angle they actually want.
  • You're a PM at Meta. Design a product for musicians.

“I spent the first minute just picking a user segment because 'musicians' is enormous.”

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Meta·Product Manager·Onsite - Product Sense / Strategy

Apr 2026
Meta PM interview with a classic Amazon shopping cart metrics question. Nothing too wild but it's the kind of question that sounds easy until you're actually in it and realize how many directions you could go.
  • You're the PM for Amazon's shopping cart. What are the most important metrics for this product?

“I went straight for conversion rate and cart abandonment which felt obvious in retrospect.”

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Meta·Product Manager·Onsite - Product Sense / Strategy

Apr 2026
Meta product sense interview, one question about measuring Stories. Not much context to go on but it's a classic Meta metrics question so figured I'd log it.
  • How would you measure the success of Facebook Stories?

“You have to resist the urge to just list every metric you know.”

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Meta·Product Manager·Onsite - Product Sense / Strategy

Apr 2026
Meta PM interview with a product sense question about Instagram's wellbeing features. Pretty open-ended prompt with a lot of room to go wrong.
  • Design a feature to help Instagram users spend less time on the app.

“This one is tricky because you're essentially designing against Meta's core engagement model.”

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Meta·Product Manager·Onsite - Product Sense / Strategy

Apr 2026
Meta PM interview with a single product strategy question. Not much to go on from what I remember but I'll share what I can.
  • Should Meta build it? Walk through whether Meta should invest in developing a particular product or feature.

“Classic build-vs-don't-build framing.”

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