Meta interview questions. 25 from past candidates.

The process at Meta, what each stage actually tests, and how candidates prep. Real questions where we have them, likely questions where we don't.

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[01] BY THE NUMBERS

Headline facts before you prep.

Pulled straight from Meta's career page and public data sources. Tap any cell for the full breakdown.

Full Meta company profile

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25 FREE APPLICATIONS

[02] INTERVIEW PROCESS

Standard software engineering loop at Meta.

The stages below describe the typical SWE loop. Product, Design, and Data loops differ; pick a role to see how it changes, or jump straight to real questions reported for that role.

ROLE
01

Recruiter Screen

30 min

Initial call to discuss your background, interests, and the role. The recruiter evaluates culture fit and basic qualifications.

  • Research the specific team and product area
  • Prepare your 2-minute pitch
  • Ask about the interview timeline
02

Technical Phone Screen

45-60 min

Live coding session on a shared editor. Expect 1-2 algorithm problems at medium difficulty.

  • Practice thinking out loud
  • Start with a brute force approach, then optimize
  • Clarify constraints before coding
03

Onsite: Coding Rounds

45 min each

2-3 coding interviews with LeetCode-style problems. Difficulty ranges from medium to hard.

  • Focus on array, string, tree, and graph problems
  • Know your time/space complexity analysis
  • Google focuses on DP; Amazon on practical problem solving
04

Onsite: System Design

45-60 min

Design a large-scale system. Expected for mid-level and above.

  • Practice designing real systems: URL shortener, chat app, news feed
  • Discuss trade-offs, not just solutions
  • Consider scalability, reliability, and cost
05

Behavioral / Leadership

45 min

Questions about past experiences, teamwork, and leadership. Amazon uses Leadership Principles heavily.

  • Prepare 8-10 STAR stories
  • Amazon: know all 16 Leadership Principles with examples
  • Focus on impact and what YOU did, not the team

[03] REAL QUESTIONS

Reported by people who interviewed at Meta.

25 questions sourced directly from candidates on Reddit, Blind, Glassdoor, and Scoutify user reports.

Product Management

16 questions · all reported by candidates
ReportedExponent·664 upvotes·
ReportedExponent·607 upvotes·
ReportedExponent·369 upvotes·
ReportedExponent·312 upvotes·
ReportedExponent·291 upvotes·

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ReportedExponent·279 upvotes·
ReportedExponent·227 upvotes·
ReportedExponent·168 upvotes·
ReportedExponent·167 upvotes·
ReportedExponent·151 upvotes·
ReportedExponent·147 upvotes·
ReportedExponent·147 upvotes·
ReportedExponent·122 upvotes·
ReportedExponent·109 upvotes·
ReportedExponent·107 upvotes·
ReportedExponent·106 upvotes·

Other Roles

9 questions · all reported by candidates
ReportedExponent·492 upvotes·
ReportedExponent·351 upvotes·
ReportedExponent·247 upvotes·
ReportedExponent·189 upvotes·
ReportedExponent·183 upvotes·
ReportedExponent·182 upvotes·
ReportedExponent·159 upvotes·
ReportedExponent·131 upvotes·
ReportedExponent·121 upvotes·
How to answer these: the STAR method

Use the STAR method: describe the Situation, the Task you faced, the specific Action you took, and the measurable Result. Aim for 60-90 seconds with one concrete metric. Practice it out loud before the interview so it flows naturally; the same structure works for every question above.

[04] CODING PRACTICE

LeetCode tagged for Meta.

The 15 highest-frequency problems candidates report being asked in Meta loops, pulled from the public company-wise question bank.

Hard

LeetCode #301: Remove Invalid Parentheses

Why it appearsPulled from the public company-wise question bank, with a frequency score of 5.6 for Meta. Acceptance rate 43.3% on LeetCode.

Open problem #301 on LeetCode
Hard

LeetCode #273: Integer to English Words

Why it appearsPulled from the public company-wise question bank, with a frequency score of 5.4 for Meta. Acceptance rate 27.1% on LeetCode.

Open problem #273 on LeetCode
Easy

LeetCode #953: Verifying an Alien Dictionary

Why it appearsPulled from the public company-wise question bank, with a frequency score of 5.3 for Meta. Acceptance rate 54.1% on LeetCode.

Open problem #953 on LeetCode
Hard

LeetCode #158: Read N Characters Given Read4 II - Call multiple times

Why it appearsPulled from the public company-wise question bank, with a frequency score of 5.2 for Meta. Acceptance rate 33.8% on LeetCode.

Open problem #158 on LeetCode
Hard

LeetCode #297: Serialize and Deserialize Binary Tree

What it testsTrees

Why it appearsPulled from the public company-wise question bank, with a frequency score of 5.1 for Meta. Acceptance rate 47.5% on LeetCode.

Open problem #297 on LeetCode
Hard

LeetCode #10: Regular Expression Matching

Why it appearsPulled from the public company-wise question bank, with a frequency score of 5.0 for Meta. Acceptance rate 26.8% on LeetCode.

Open problem #10 on LeetCode
Medium

LeetCode #91: Decode Ways

Why it appearsPulled from the public company-wise question bank, with a frequency score of 4.9 for Meta. Acceptance rate 24.7% on LeetCode.

Open problem #91 on LeetCode
Medium

LeetCode #253: Meeting Rooms II

What it testsIntervals + sorting

Why it appearsPulled from the public company-wise question bank, with a frequency score of 4.9 for Meta. Acceptance rate 45.7% on LeetCode.

Open problem #253 on LeetCode
Medium

LeetCode #238: Product of Array Except Self

What it testsArrays + hashing

Why it appearsPulled from the public company-wise question bank, with a frequency score of 4.8 for Meta. Acceptance rate 60.1% on LeetCode.

Open problem #238 on LeetCode
Easy

LeetCode #680: Valid Palindrome II

What it testsStrings

Why it appearsPulled from the public company-wise question bank, with a frequency score of 4.7 for Meta. Acceptance rate 36.6% on LeetCode.

Open problem #680 on LeetCode
Medium

LeetCode #15: 3Sum

Why it appearsPulled from the public company-wise question bank, with a frequency score of 4.7 for Meta. Acceptance rate 26.8% on LeetCode.

Open problem #15 on LeetCode
Medium

LeetCode #560: Subarray Sum Equals K

What it testsArrays + hashing

Why it appearsPulled from the public company-wise question bank, with a frequency score of 4.7 for Meta. Acceptance rate 43.9% on LeetCode.

Open problem #560 on LeetCode
Easy

LeetCode #278: First Bad Version

Why it appearsPulled from the public company-wise question bank, with a frequency score of 4.7 for Meta. Acceptance rate 35.7% on LeetCode.

Open problem #278 on LeetCode
Hard

LeetCode #76: Minimum Window Substring

What it testsTrees, Strings

Why it appearsPulled from the public company-wise question bank, with a frequency score of 4.6 for Meta. Acceptance rate 34.6% on LeetCode.

Open problem #76 on LeetCode
Medium

LeetCode #973: K Closest Points to Origin

Why it appearsPulled from the public company-wise question bank, with a frequency score of 4.6 for Meta. Acceptance rate 63.8% on LeetCode.

Open problem #973 on LeetCode

[05] HIRING PULSE

Meta's hiring pulse.

We re-scan Meta's career page every few minutes and keep the full posting history, so these counts come from the board itself, not an aggregator.

Steady36 postings this week vs a baseline of 78.8/week

Posted (7d)

36

Posted (30d)

159

Posted (90d)

1,013

Scanned every few minutes · newest tracked posting May 22, 2026

[06] SALARY SNAPSHOT

Know the bands before the loop.

Median total compensation at Meta by level, as reported by employees on Levels.fyi. Worth knowing before the recruiter asks about expectations.

Data Scientist

Source: Levels.fyi
LevelTotalBaseN
IC3$161K$131K14
IC4$245K$187K14
IC5$424K$216K64
IC6$554K$256K14
IC7$738K$284K22
IC8$1110K$325K2

Product Designer

Source: Levels.fyi
LevelTotalBaseN
IC3$151K$119K36
IC4$267K$168K10
IC5$337K$213K10
IC6$471K$244K18
IC7$912K$276K10
IC8$970K$301K7

Source: Levels.fyi · median of reported samples · N = sample count

Full compensation breakdown on the Meta company page

[07] APPLY LOGISTICS

Applications go through Workday.

Meta runs hiring on Workday, so the application form and recruiter follow-ups flow through it. Use the same email everywhere and keep the profile fields consistent with your resume; recruiters see both side by side.

Enterprise-grade human capital management platform used by the world's largest organizations. Workday Recruiting is a core module within its broader HR suite.

Applying to Meta? Sniper applies to new Meta roles minutes after they post, filling in the Workday application with your resume and profile when a role passes your filters. Sniper sends one application per posting, and the employer's confirmation email for most applications lands in Scoutify Mail.

How Scoutify integrates with Workday

[08] PEOPLE ALSO ASK

Common questions about Meta interviews.

Does Meta sponsor H1B visas?

Yes, Meta does sponsor H1B visas for international candidates seeking employment. This allows skilled professionals from around the world to join the company and contribute to its innovative projects. If you're an international candidate, be sure to highlight your qualifications and experience during the application process to enhance your chances of securing sponsorship.

What is the average salary and compensation structure at Meta?

At Meta, the salary range for job postings is between $166,236 and $220,566, averaged across positions with disclosed salaries. Additionally, for higher-level roles, median total compensation can reach up to $4,364,096 for an E9 position. This competitive compensation structure reflects Meta's commitment to attracting top talent in the tech industry.

What is the interview process like at Meta?

The interview process at Meta typically involves multiple stages, including technical assessments and behavioral interviews. Candidates can expect questions that assess technical skills, problem-solving abilities, and cultural fit. For example, you might be asked to describe a time when you led a technical program, which helps interviewers gauge your leadership and collaboration skills.

What is the current hiring volume and what roles are open right now at Meta?

Currently, Meta has 2,074 active job postings, with the most openings in roles such as Product Designer (42), Data Scientist (29), and Software Engineer (24). These positions are primarily concentrated in cities like Menlo Park, Sunnyvale, and Redmond. This hiring volume suggests ongoing growth and investment in key areas of the business despite recent layoffs.

[09] OVERVIEW

What candidates run into at Meta.

FAANG interviews are highly structured with 5-6 rounds spanning recruiter screens, technical phone screens, and a full-day onsite. Each company has specific patterns, but the core structure is consistent: coding, system design, and behavioral interviews.

[10] PREP TIPS

How candidates prepare.

Start LeetCode practice 2-3 months before interviews
Mock interviews with peers are more valuable than solo practice
Research the specific team's tech stack and recent projects
Have questions prepared that show genuine interest in the team's challenges
Follow up with your recruiter within 24 hours of each round

[11] EXPERT FRAMEWORKS

Frameworks and sample answers from interview coaches.

Curated from Columbia Engineering's licensed BigInterview library: expert-written tips, sample answers, and walkthroughs that work for any Product Management interview.

Source: BigInterview (licensed by Columbia Engineering)

[12] FAQ

Questions candidates ask about Meta interviews.

Salary, visa sponsorship, process, hiring volume. Drawn from public data on Meta.

Does Meta sponsor H1B visas?

Yes, Meta does sponsor H1B visas for international candidates seeking employment. This allows skilled professionals from around the world to join the company and contribute to its innovative projects. If you're an international candidate, be sure to highlight your qualifications and experience during the application process to enhance your chances of securing sponsorship.

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