💼 Sell.do – Product Engineer Interview Experience (On-Campus)

🏢 Company Overview

Sell.do is India’s leading AI-powered SaaS platform purpose-built for the real estate industry offering them a CRM Tool. From predictive sales automation and smart lead scoring to intelligent communication and omnichannel engagement, Sell.do is transforming how real estate is sold. Their platform integrates AI, Machine Learning, Big Data, and Elasticsearch to deliver lightning-fast, data-driven decision-making for developers, brokers, and channel partners.

Primary Tech Stack: Ruby, Flutter
Note: Open to candidates from all technical backgrounds (focus on strong CS fundamentals)

📋 Basic Details

Detail	Information
Role	Product Engineer (Equivalent to Software Engineer)
Type	On-Campus
Eligible Branches	All UG Branches
Students Shortlisted for OA	~350
Total Rounds	6

🧩 Rounds Overview

Online Assessment (OA)
Group Discussion (GD)
Technical Interview 1
Technical Interview 2
HR Round
CTO Round

🧮 Round 1: Online Assessment (HackerRank)

Format:

25-30 MCQs on CS Fundamentals
2 Coding Questions

Questions:

Easy: Linked List + Array problem → solved all test cases
Medium: Count total subarrays having sum = 0 → solved ~80% test cases

Shortlisted: ~75-80 candidates advanced to GD

🗣️ Round 2: Group Discussion

Format: Groups of 8–10 candidates
Duration: 10–15 minutes
Sample Topics:

Use of AI in Coding and Debugging
Vibe Coding
Mastering a Single Language vs. Having General Knowledge of Multiple Languages (my topic)

Shortlisted: Selected for Technical Interview 1

💻 Round 3: Technical Interview 1

Duration: ~30 minutes
Interviewer Note: Very friendly; mentioned this round is focused on basic concepts, not deep technicals.

Questions Covered:

OOPs:
- code
```
1super
```
  keyword, inheritance, diamond problem
- 4 pillars of OOP
- code
```
1implements
```
  vs
  code
```
1extends
```
DBMS:
- Normalization types
- ACID properties, transactions
DSA:
- Search target in a sorted array → brute force → optimized to binary search
- Explained time and space complexity
SQL:
- Query using aggregate functions
Cloud:
- Experience with cloud platforms
- Stateful vs Serverless architecture

Result: Shortlisted for Technical Interview 2

💻 Round 4: Technical Interview 2

Instructions: Carry laptop and be ready to demonstrate projects / GitHub repos.

Round Flow:

Self-introduction and resume overview
Asked some questions I missed in the previous round (possible internal feedback shared)
SQL query with aggregate functions
Project Demo: Showed my Real-Time Chess Game
- Interviewer played some moves to test edge cases
- Discussed implementation details, logic, and tech stack
- Reviewed my GitHub repo directly and asked questions based on code structure
Ended with: “Do you have any questions for me?”

Result: Rejected after this round

💬 Round 5 & 6: HR and CTO Rounds

Did not appear as I was eliminated after Technical Round 2.
In final selection, 5 students were offered Internship + Full-Time (PPO) roles.

💡 Learnings & Tips

Focus on core CS fundamentals (OOPs, DBMS, SQL, DSA).
After every round, note down questions you couldn’t answer well — they might reappear later.
Be confident while explaining projects — emphasize logic, structure, and your approach.
In GD, contribute with clarity and relevance, not dominance.
Communication, composure, and reasoning ability matter as much as coding skills.