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Meta interview notes, page 59 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

May 2026
Meta infrastructure interview, one long system design question that basically ate the whole session. The scope was massive and I kept second-guessing which parts they actually cared about.
  • Design a system that tracks and aggregates ad clicks at scale. Walk through the click ingestion endpoint, deduplication and fraud detection, real-time versus batch aggregation, storage for raw and rolled-up data at different time granularities, querying for billing and reporting, and how you'd handle scalability and consistency.

“This is a beast of a question.”

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Meta·Product Manager·Onsite - Product Sense / Strategy

May 2026
Meta PM interview with a product metrics question about Facebook Jobs. One question, pretty focused, but it had enough layers to it that I left unsure if I'd covered everything.
  • You launched Facebook Jobs and job listings are up 20%, but employer response time to applicants has dropped 20%. How do you approach this?

“The supply/demand imbalance framing clicked for me pretty fast.”

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Meta·Product Manager·Onsite - Product Sense / Strategy

May 2026
Meta PM interview, product sense round focused on short-form video. Just one question but it had a lot of surface area and I don't think I covered it well enough.
  • How would you measure success for Facebook Reels?

“I went straight to engagement metrics and kind of talked myself in circles.”

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Meta·Software Engineer·Online Assessment (OA)

May 2026
Got a coding screen for a SWE role at Meta. One problem, maze pathfinding on a grid, pretty standard BFS/DFS territory but worth writing up.
  • Given an m x n grid where 0 is an empty cell and 1 is a wall, determine whether a path exists from a given start coordinate to a target coordinate. You can move up, down, left, or right, but cannot go out of bounds or through walls.

“Classic reachability problem.”

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Meta·Data Scientist·Onsite - Product Sense / Strategy

May 2026
This was a product/DS case round at Meta for a Data Scientist role, centered entirely on one big open-ended case: should Messenger add group calls, and how would you build, measure, and experiment around that. Dense, multi-part, and the kind of question where you can feel yourself running out of time halfway through.
  • How would you determine whether users actually need group calls in Messenger, given that alternatives like group chat, voice notes, 1:1 calls, and third-party apps already exist?
  • How would you decide what maximum group size to support for group calls, and what tradeoffs does that decision involve?
  • Design a metrics framework for the group calls feature: what would you use as your primary success metric, diagnostic metrics, and guardrail metrics?
  • Group members are socially connected, so a standard A/B test will have spillover between treatment and control. How would you design a cluster-based experiment to handle this, and how would you analyze it correctly?
  • Lay out a full A/B test plan for launching group calls: unit of randomization, eligibility criteria, rollout approach, and duration. What are the main risks that could invalidate the results?

“I started with behavioral data, things like how often users are doing back-to-back 1:1 calls with members of the same group within a short window, which is a pretty decent proxy for 'I wish I could just call everyone at once.' Also looked at what the survey signals might say about unmet needs.”

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Meta·Software Engineer·Technical Phone Screen

May 2026
Meta mobile engineer interview with a coding round that included the Custom Sort String problem. Pretty standard algorithmic stuff, nothing too wild.
  • Given a custom ordering of characters and a string, sort the string so that characters appear in the order defined by the custom ordering. Characters not in the custom order can go anywhere at the end.

“I went with a frequency map approach, built a count of each character in the string, then iterated through the order string to reconstruct.”

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Meta·Software Engineer·Onsite - System Design / Architecture

May 2026
Meta SWE interview that was basically one big object-oriented design problem for an in-memory banking system. More moving parts than I expected for a single question, took up the whole session.
  • Design an in-memory banking system that supports account creation, deposits and withdrawals, immediate transfers, scheduled transfers with cancellation, querying top spenders, and merging accounts.

“This is a lot of surface area for one question.”

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Meta·Software Engineer·Technical Phone Screen

May 2026
Meta SWE coding round, grid path problem with obstacles. Pretty standard dynamic programming territory but the obstacle handling trips people up if they're not careful.
  • Given a 2D grid where some cells are blocked by obstacles, count the number of unique paths from the top-left to the bottom-right corner, moving only right or down.

“Classic DP setup.”

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Meta·Data Scientist·Technical Phone Screen

May 2026
Meta data scientist screen focused on probability and Bayes' rule applied to ad conversion scenarios. Pretty straightforward if you've brushed up on conditional probability, but the follow-up about reversing the conditioning tripped me up a bit.
  • You're given a prior conversion rate of 2%, with conditional rates of 3% for male users and 1% for female users. After learning the user is male, what's the updated conversion probability and how do you get there? Then flip it: if a conversion happened, what's the probability the user was male?

“The first part I handled fine, it's just plugging into the conditional directly since gender is observed.”

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Meta·Product Manager·Onsite - Product Sense / Strategy

May 2026
Meta PM interview with a product strategy question about Instagram's checkout flow. Single question, pretty open-ended, and I spent way too long second-guessing my framework before actually getting to a recommendation.
  • Should Instagram launch a feature that lets users make purchases through Instagram Store without needing to log in?

“I went straight to user segmentation and kind of ignored the trust and fraud angle for too long.”

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