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Meta interview notes, page 49 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

Apr 2026
Meta product sense round focused on Buy and Sell Groups. Pretty classic Facebook product question but the metrics piece had more depth to it than I expected.
  • How would you improve Facebook's Buy and Sell Groups feature?
  • What metrics would you use to measure success for Buy and Sell Groups, and what trade-offs come with choosing those metrics?

“I started with user segments which felt right, but I spent too long on the setup and rushed the actual improvement ideas.”

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Meta·Software Engineer·Online Assessment (OA)

Apr 2026
Meta's OA for SWE roles isn't what you'd expect from a typical coding screen. Instead of a single algorithm problem, you get a feature implementation task broken into four progressive levels, where each level builds on the last and everything has to keep working.
  • Implement a feature across four progressive levels, where each level extends the previous one with additional capabilities, constraints, or complexity, and all prior levels must continue to pass.

“The structure tripped me up more than the actual coding.”

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Meta·Software Engineer·Onsite - System Design / Architecture

Apr 2026
Meta system design round, got asked to design Tinder. Not much else to go on but it's a classic distributed systems meets product thinking question.
  • Design a dating app like Tinder, covering matching, profiles, and real-time interactions.

“This one goes in a lot of directions fast.”

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Meta·Software Engineer·Technical Phone Screen

Apr 2026
Meta data science interview with a product analytics question about diagnosing a drop in a core engagement metric. Pretty standard for this type of role but the question has enough layers to trip you up if you're not systematic.
  • Instagram's Daily Active Users dropped by 5% over the course of a week. Walk through how you'd figure out what caused it.

“My first instinct was to jump straight into segmentation (platform, region, age group) but I forgot to check the obvious stuff first, like whether it was a data pipeline issue or a logging bug.”

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Meta·Product Manager·Onsite - Product Sense / Strategy

Apr 2026
PM interview at Meta focused on Facebook Feed product decisions. Single question, product strategy flavor, no frills.
  • You're the PM for Facebook Feed. How do you decide whether to split the feed into separate tabs for friends content vs. non-friends content?

“This one took me a second because it sounds like a simple yes/no product call but there's actually a lot underneath it.”

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Meta·Product Manager·Onsite - Product Sense / Strategy

Apr 2026
PM strategy case at Meta, basically a full acquisition analysis on iRobot. One question but it had a lot of moving parts and I definitely underestimated how long the financial piece would take.
  • Should Google acquire Roomba (iRobot)? Walk through strategic fit, data and user synergies, the competitive landscape, financial impact, and integration risks, then give a clear recommendation.

“I spent way too long on the synergies section and basically ran out of time before I could say anything coherent about integration risk.”

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Meta·Data Scientist·Technical Phone Screen

Apr 2026
Brutal Meta DS interview that was basically one giant lifecycle email case study. The question had five nested parts and felt like they were testing whether you could run an entire growth team by yourself.
  • You own lifecycle email and need to increase on-site engagement driven by email. Define your primary success metric and two or three guardrails you'd use to keep the experiment safe.
  • Generate at least ten concrete interventions across targeting, timing, content, and system levers to improve email-driven engagement. For each, estimate expected lift and the main risk.
  • For your top two interventions, design a rigorous experiment. Walk through control and holdout construction, traffic allocation, deliverability controls, contamination risks, how you'd determine test duration, handling multiple comparisons, and how you'd measure long-term retention.
  • What instrumentation and data do you need to run these experiments, and how would you detect whether email is cannibalizing push or other notification channels?
  • Prioritize your interventions using a structured scoring framework, and describe how you'd ramp safely if early results show the primary metric improving but a guardrail metric is being harmed.

“I went with click-to-session rate as the primary metric, which felt right but I second-guessed it mid-answer and briefly floated open rate before walking it back.”

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Meta·Product Manager·Onsite - Behavioral / Leadership

Apr 2026
Behavioral round at Meta for a PM role, focused almost entirely on how you handle pressure and messy cross-functional situations. The questions felt standard on the surface but the follow-ups were where it got real.
  • Tell me about the most challenging project you've worked on.
  • Describe a time you had to ship something under a tight deadline while dealing with difficult internal dynamics.
  • What was the hardest trade-off you made during that project?
  • How did you handle a stakeholder who pushed back on your plan?
  • Was there a risk you consciously decided not to address, and why?
  • How did you keep the team focused when things got stressful?
  • Looking back, what would you do differently if you faced the same situation again?

“I had a story ready but I front-loaded too much context and burned like two minutes before getting to what I actually did.”

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Meta·Software Engineer·Technical Phone Screen

Apr 2026
Meta coding round, one question the whole time. It's a parentheses problem dressed up slightly differently from the classic LC version, and the stack approach clicks pretty fast once you stop overthinking it.
  • Given a string of '(' and ')' characters, remove all matched valid pairs and return the count of unmatched parentheses that remain. Solve it in O(n) time.

“I recognized it as a cousin of the longest valid parentheses problem but the ask is subtly different, you're counting what's left over rather than what's valid.”

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Meta·Software Engineer·Onsite - Coding / Algorithms

Apr 2026
Meta SWE coding round with a maze printing problem. Pretty straightforward string manipulation but worth knowing they do give these kinds of warm-up style questions before ramping up.
  • Given a 2D character grid representing a maze, print it out but replace every blank space cell with an asterisk. All wall characters stay as-is.

“Simpler than I expected for Meta.”

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