This page contains Meesho placement papers from 2025 with current year online assessment questions, solutions, and exam patterns.
Section Questions Time Difficulty Focus Areas Coding Problems 2-3 60-90 min Medium-Hard Arrays, trees, graphs, DP
Total : 2-3 problems, 60-90 minutes
Platform : HackerRank or similar
Languages Allowed : Python, Java, JavaScript
Success Rate : ~15-20% cleared OA and advanced to interviews
Q1: Design an e-commerce marketplace system that connects suppliers with resellers. Requirements :
Product catalog management
Order processing
Inventory management
Recommendation system
Key Components :
Product Service: Manage product catalog
Order Service: Process orders
Inventory Service: Track inventory
Recommendation Service: Product recommendations
Coding Section is Critical : Must solve 2-3 coding problems correctly to advance
DSA Focus : Strong emphasis on arrays, strings, trees, graphs, and dynamic programming
Time Management : 2-3 problems in 60-90 minutes requires excellent speed and accuracy
E-commerce Focus : Problems often relate to e-commerce systems, product recommendations, social commerce, AI-powered features
System Design : Asked for SDE-1/2 roles, e-commerce system design for social commerce roles
Success Rate : Only 15-20% cleared OA and advanced to interviews
Platform : HackerRank or Meesho’s internal platform
Focus Areas : Arrays, trees, graphs, dynamic programming, e-commerce systems, social commerce, AI/ML
Enhanced Emphasis : Optimal solutions, AI-powered recommendations, and cloud-native e-commerce platforms
Based on recent candidate experiences from 2025 Meesho interviews:
2025 Interview Process:
Online Assessment (60-90 minutes) : 2-3 coding problems
Technical Phone Screen (45-60 minutes) : Coding problems, algorithm discussions, e-commerce concepts, AI/ML
Onsite/Virtual Interviews (4-5 rounds, 45-60 minutes each) :
Coding rounds (2-3): Algorithms, data structures, problem-solving
System Design rounds: AI-powered e-commerce platforms, social commerce systems, product recommendations, cloud-native architecture
Behavioral rounds: Problem-solving approach, innovation, impact, AI/ML passion
2025 Interview Trends:
Increased emphasis on AI-powered recommendations and cloud-native e-commerce platforms
More focus on optimal solutions and social commerce system design
Enhanced behavioral questions about innovation and impact
Questions about AI/ML applications in e-commerce and social commerce
Common 2025 Interview Topics:
Coding : Arrays, strings, trees, graphs, dynamic programming, e-commerce algorithms
System Design : AI-powered e-commerce platforms, social commerce systems, product recommendations, cloud-native architecture
Behavioral : Problem-solving, innovation, teamwork, impact, AI/ML passion
Meesho Technologies : Social commerce, AI-powered features, e-commerce platforms, product recommendations, cloud-native platforms
Success Tips:
Strong coding performance is essential - solve problems optimally
Understand e-commerce, AI-powered social commerce, and cloud-native e-commerce systems
Practice system design for AI-powered e-commerce platforms and social commerce systems
Prepare examples demonstrating innovation and problem-solving
Learn Meesho’s products, AI features, and social commerce model
Practice explaining your thought process clearly
For detailed interview experiences from 2025, visit Meesho Interview Experience page.
Master Coding Fundamentals : Focus on solving 2-3 coding problems correctly - arrays, trees, graphs, DP
E-commerce Expertise : Strong understanding of AI-powered e-commerce systems, social commerce, product recommendations
Practice Previous Year Papers : Solve Meesho OA papers from 2020-2025 to understand evolving patterns
Time Management : Practice completing 2-3 coding problems in 60-90 minutes
LeetCode Practice : Solve 200+ LeetCode problems focusing on arrays, strings, trees, graphs (medium-hard difficulty)
E-commerce Focus : Practice problems related to e-commerce systems, social commerce, AI/ML in e-commerce
System Design Mastery : Learn AI-powered e-commerce platform design, social commerce systems, product recommendations, cloud-native architecture
Meesho Technologies : Learn social commerce, AI-powered features, e-commerce platforms, product recommendations, cloud-native platforms
Behavioral Preparation : Prepare examples using STAR format - innovation, problem-solving, AI/ML passion
Mock Tests : Take timed practice tests to improve speed and accuracy
AI/ML in E-commerce : Understand AI/ML applications in e-commerce and social commerce
Meesho 2024 Papers
Previous year Meesho placement papers with questions and solutions
View 2024 Papers →
Meesho Coding Questions
Complete collection of Meesho coding problems with solutions
View Coding Questions →
Meesho Interview Experience
Real interview experiences from successful candidates
Read Experiences →
Meesho Preparation Guide
Comprehensive preparation strategy for Meesho placement
View Preparation Guide →
Meesho Main Page
Complete Meesho placement guide with eligibility, process, and salary
View Main Page →
Practice 2025 papers to stay updated with latest patterns and prepare effectively!