Meta Behavioral & Leadership Interview Questions
Practice 1,159 real Meta interview questions for 2026. Covers top categories — Coding & Algorithms, Analytics & Experimentation, Data Manipulation (SQL/Python), Behavioral & Leadership, and System Design — across Software Engineer, Data Scientist, Machine Learning Engineer, Data Engineer, and Product Manager roles. Real questions from actual interviews with detailed solutions. Expect a software-engineering-heavy loop: timed algorithmic coding (trees, arrays, graph/maze problems, delimiter/CSV parsing), system-design prompts like leaderboards, flight search and online-judge architectures, and an increasingly common AI-assisted coding round that mirrors real workflows. Data Scientist rounds emphasize product analytics and experimentation—designing tests, diagnosing spend drops and bots, evaluating unconnected content, and writing SQL for multi-account, seller, and vehicle metrics. Machine Learning Engineer questions skew toward recommender and ranking work (place and friend recommendation, sparse-matrix ops, linear-regression derivations, newsfeed dislike models). Data Engineers focus on data modeling, ETL, capacity calculations, reservations/utilization queries, and production SQL/Python tasks. For interview preparation, prioritize timed coding practice, system-design templates, rigorous SQL drills (joins/CTEs/aggregation), clear A/B-testing frameworks, and concise STAR behavioral stories tied to measurable impact.
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Design tables for event-driven metrics
Design a Relational Schema for Consumer-App Event Analytics Context and Assumptions You are designing the event store for a high-volume consumer app. ...
Design a ticket or hotel reservation system
Design a reservation system (Ticketmaster-style event seats or hotel rooms). Requirements: - Users search availability by date/event. - Users select s...
How would you drive product growth?
Assume you are interviewing for a Product Growth Analyst role at Meta. Answer the following product growth and analytics cases. For each case, clarify...
Describe conflict where you yielded to others
Describe a time you had a conflict or strong disagreement at work, but ultimately decided to follow someone else’s approach instead of your own. In yo...
Design Queue And Taxi Matching Services
Answer both independent system design prompts. For each one, clarify requirements, propose APIs, describe core data models, explain the architecture, ...
Explain a project’s impact and product thinking
A Head of Product asks: 1. Pick one analytics/data science project you led end-to-end. 2. What was the product problem and why did it matter? 3. What ...
Design an Instagram-like platform
This question evaluates proficiency in scalable backend architecture, distributed systems, data modeling, media storage and processing, API design, fe...
Analyze DoorDash marketplace product decisions
You are a product-focused data scientist at DoorDash. Discuss how you would approach the following three product analytics and experimentation problem...
Implement Multi-Level In-Memory Services
Implement the following independent multi-level in-memory service simulations. In an interview, you may receive one scenario and unlock the levels seq...
Compute CTR for peak vs non-peak hours
This question evaluates a candidate's ability to compute time-based click-through rate metrics using SQL and data manipulation techniques, including j...
Design versioned in-memory key-value store
This question evaluates understanding of in-memory data structures, versioning semantics, rollback mechanisms, and performance trade-offs between time...
Detect fake accounts and measure their impact
This question evaluates competency in fraud detection, causal impact measurement, experimentation design, and operational analytics for product and ad...
Compute seller counts and vehicle share
You are given two tables: 1. listing_interactions - buyer_id BIGINT - seller_id BIGINT - event_date DATE - product_id BIGINT - listing_...
Return right and left side views of a tree
This question evaluates understanding of binary tree data structures and the competency to identify side views by reasoning about which node is visibl...
How investigate a brand-ad spend drop?
Meta has a video ads product with two ad types: - Direct ads: optimized for in-platform actions - Brand ads: users click the video ad and are sent to ...
Evaluating and launching Instagram Stories
Evaluating and Launching Instagram Stories You are evaluating the rollout and impact of Stories, an ephemeral sharing format similar to Snapchat, acro...
How would you validate a driving simulator’s realism?
You work on autonomous driving evaluation. You have two datasets for the same set of driving scenarios: - Real-world logs collected from vehicles (gro...
Implement an Expiring Record Store
Implement a level-based in-memory record store. The store contains records identified by a string key. Each record contains fields, where each field i...
Design image and multimodal generation systems
System Design: Image Generation and Multimodal Generation Part 1 — End-to-End Image Generation System Design an end-to-end image generation system. Co...
How would you design Shop-ad ranking?
Suppose the previous experiment shows that, in some contexts, users are more likely to convert when shown an ad that leads to an in-app Shop rather th...