LIVE — Questions refreshed May 13, 2026
The interview cheat code nobody talks about

Right now, there are 52 verified questions from the last 14 days sitting in our database — the same questions Meta is asking candidates this week. Most applicants will never see them.

52
Fresh Questions
12K+
Engineers using this
$483K
Median Offer at Stake
Questions refresh every 7 days. Current batch expires soon.

You're not failing because you can't code

Meta restructured its onsite for 2026: an AI-Assisted Coding round now replaces one of the traditional coding rounds. You work in a CoderPad environment with an AI assistant, terminal, tests, and multiple files. Meta evaluates whether you use AI thoughtfully — validating outputs, explaining tradeoffs, maintaining ownership — versus blindly accepting generated code. This is the most distinctive interview change in tech this year.

Meta is the only FAANG that splits the design round in two: SWE-Infrastructure roles get System Design, SWE-Product roles get Product Architecture. Both are 45 minutes, both score on problem navigation, solution design, technical excellence, and communication — but the focus differs significantly. Meta is also the only FAANG that asks interviewers for confidence scores and considers explicit downleveling signals from every round.

90%
Rejection rate
3.2×
Better odds with GothamLoop
What candidates actually do vs. what works
Everyone Else
GothamLoop Users
Grind random LeetCode
Study exact questions from this week
Generic system design prep
Meta-specific AI-Assisted coding prep
No idea about System Design vs Product Arch
Know what the confidence score actually measures
Hope for the best
Walk in knowing what's coming
What is asking right now

Sourced and verified from real candidates who interviewed at Meta in the last 14 days.

📋 Questions from the Last 14 Days

52 VERIFIED
CODING Building visibility from the right: given an integer array heights, return the indices of buildings visible from the right side. 🔓
SYSTEM DESIGN Design Memcached: distributed caching at billions-of-keys scale, consistent hashing, eviction policies, cache warming. 🔒
BEHAVIORAL Tell me about a time you had a strong disagreement at work but ultimately committed to someone else's approach. What did you learn? 🔒
CODING AI-Assisted round: implement an in-memory database with TTL, scan, and backup/restore. You have an AI assistant — use it thoughtfully. 🔒
SYSTEM DESIGN Product Architecture: design Instagram's news feed end-to-end. Focus on API design, client-server interactions, and personalization. 🔒
BEHAVIORAL What is the biggest mistake you've made at work? Walk me through what happened, what you learned, and how you've grown since. 🔒
CODING Rebuild a binary search tree from a preorder traversal sequence. Handle duplicate values and unbalanced trees. 🔒
BEHAVIORAL How do you align requirements across teams when each team has competing priorities and no shared roadmap? Be specific. 🔒
🔒

51 More Questions Available

Get the exact questions Meta is asking this week. Don't walk in blind.

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These refresh every 7 days. Candidates who see them before interviewing pass at 3.2× the normal rate.

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Why this actually works

We built GothamLoop around a simple insight: the best preparation is knowing what's actually being asked — not what might be asked.

🕵️
Real questions, not guesses
We collect questions directly from engineers who've interviewed at Meta, then cross-validate against other intel sources to give you a stack-ranked list of what they're asking right now.
⏱️
Fresh every week
Interview questions change. We update our database every 7 days so you're never studying stale problems. What you see is what's being asked right now.
🎯
Covers every round
Coding, the new AI-Assisted Coding round prep, System Design and Product Architecture rounds (the Meta-only bifurcation), behavioral with the explicit scorecard, and team-matching prep — we capture questions across all 4-5 Meta onsite rounds so nothing catches you off guard.
🏢
120+ companies tracked
Meta is just one of 120+ companies we track. If you're also interviewing at Google, Amazon, Apple, Microsoft, or OpenAI — we have their questions too.
📊
Difficulty & pattern data
We don't just show you the question — we tag difficulty, interview round, and question category so you know exactly how to allocate your prep time.
Candidate-verified only
Every question has been reported directly by a candidate and cross-verified against multiple data points.

Engineers don't use us because it's clever. They use us because it works.

3.2×
Higher pass rate
120+
Companies tracked
12K+
Engineers using this

This is a $483K decision

Meta has the steepest compensation ladder in tech: from E5 to E8, total comp grows nearly 7x. Stock-heavy packages compound dramatically at E6 and above, where annual refresh grants alone can exceed total comp at lower tiers. The difference between passing and failing this interview is life-changing money.

LevelTitleExperienceTotal Comp
E3Software Engineer0–2 yrs~$185K
E4Software Engineer2–5 yrs~$300K
E5Senior Software Engineer5–8 yrs~$483K
E6Staff Software Engineer8–12 yrs~$693K
E7Senior Staff Engineer12+ yrs~$1.36M
💡 A single failed interview costs you $483K/year on average — with Meta stock having appreciated dramatically since 2022 and annual refresh grants now exceeding $400K at the E6 level, the asymmetric upside compounds fast. GothamLoop costs less than a single dinner out. The math isn't even close.

Stop studying the wrong questions. Start studying the right ones.

Get instant access to all 52 verified Meta questions from the last 14 days — plus 120+ other companies. Updated every week.

Verified from real candidates
Refreshed every 7 days
120+ companies covered
Get Full Access Now →

Common Questions

How are the questions sourced?
We collect questions directly from engineers who've interviewed at Meta, then cross-validate against other intel sources to give you a stack-ranked list of what they're asking right now.
How often are questions updated?
Every 7 days. Meta's AI-Assisted Coding pool rotates fastest since interviewers refresh problems to stay ahead of leaked prompts. The Product Architecture and System Design rotations follow team-specific patterns — Reality Labs probes XR-specific architectures, Ads probes auction systems, Instagram probes feed personalization. We track those changes in real-time.
Will I get the exact same questions?
Companies reuse questions across candidates within a given cycle. Our users report a high overlap rate — especially for the AI-Assisted round prompts (in-memory DB, file system variants) and the behavioral scorecard categories like biggest mistake and align requirements across teams.
Is this just for Meta?
No. GothamLoop covers 120+ companies including Google, Amazon, Apple, Microsoft, OpenAI, and more.
What types of questions are included?
Everything: coding challenges, the new AI-Assisted Coding round prep, System Design (Infra) and Product Architecture (Product) rounds, behavioral prompts mapped to Meta's explicit scorecard (conflict, growth, ambiguity, results, communication), and team-matching prep. All labeled by round, team domain, and the specific scoring criterion it probes.
How hard is the Meta interview?
Top-FAANG bar with tightened hiring standards since 2025. Phone screen demands two LeetCode mediums in 35 minutes. Onsite is 4-5 rounds for E5, 5+ for E6, plus Leadership Assessment. The AI-Assisted round is new in 2026 and unpracticed candidates struggle with AI-usage maturity. Meta interviewers explicitly score confidence and can downlevel — strong technical performance at the wrong level still results in an E4 offer instead of E5.
Should I pick System Design or Product Architecture?
It depends on the team. SWE-Infrastructure roles (backend, distributed systems, infra teams) get System Design — distributed systems, scalability, performance focus. SWE-Product roles (full-stack, product-facing teams) get Product Architecture — API design, client-server interactions, user-facing systems. Both score on the same 4 criteria but the focus differs significantly. GothamLoop tags every design prompt by which round it appears in.

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$472k
Palo Alto, CA
$748k
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58%
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$382k
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45%
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$472k
Palo Alto, CA
$748k
Mountain View, CA
58%
Increase
$382k
San Francisco, CA
$561k
San Francisco, CA
47%
Increase
$347k
New York, NY
$463k
New York, NY
33%
Increase
$426k
San Jose, CA
$618k
San Francisco, CA
45%
Increase