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Appsmith Engineering Manager Interview Questions and Answers

Updated 25 Apr 2024

Appsmith Engineering Manager Interview Experiences

1 interview found

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Recruitment Consulltant and was interviewed before Apr 2023. There were 3 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. What has been the most challenging problem statement you worked on? why was it most challenging? how did you cope up with it?
  • Q2. How do you handle the team, people with more experience than you?
Round 2 - Product Management 

(2 Questions)

  • Q1. How have you contributed to the product you have worked on?
  • Q2. How do you define success metrics and how do you track it?
  • Ans. 

    Success metrics are defined based on project goals and are tracked using key performance indicators (KPIs).

    • Define success metrics based on project goals and objectives

    • Identify key performance indicators (KPIs) to track progress

    • Regularly monitor and analyze KPIs to measure success

    • Adjust metrics and KPIs as needed to align with project outcomes

    • Use tools like dashboards and reports to visualize and communicate progress

    • See...

  • Answered by AI
Round 3 - One-on-one 

(2 Questions)

  • Q1. Experience of developing app on appsmith? what improvements are must?
  • Ans. 

    I have experience developing apps on Appsmith and believe improvements in user interface customization and performance are necessary.

    • Enhance user interface customization options to allow for more flexibility in design

    • Improve performance optimization to ensure smooth and efficient app functionality

    • Implement more integrations with third-party tools and services for enhanced functionality

    • Enhance documentation and support ...

  • Answered by AI
  • Q2. Given multiple suggested improvements, what would be the priorities to solve them and why?
  • Ans. 

    The priorities for solving suggested improvements should be based on impact, feasibility, and urgency.

    • Prioritize improvements based on their impact on the overall performance or efficiency of the system.

    • Consider the feasibility of implementing each improvement, taking into account resources, time, and expertise required.

    • Evaluate the urgency of each improvement based on potential risks or consequences of not addressing

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Be yourself, know your work and present the improvement and growth you got in the team.

Skills evaluated in this interview

Interview questions from similar companies

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - Coding Test 

Practise data structures based problems, should be able to explain the code and optimizations etc

Round 3 - Case Study 

Design system for e-commerce. How to scale the system with the demand

Round 4 - One-on-one 

(2 Questions)

  • Q1. Building ML ops platform from scratch.
  • Ans. 

    Building a ML ops platform involves designing infrastructure, tools, and processes to streamline machine learning workflows.

    • Design scalable infrastructure to support ML model training and deployment

    • Implement version control for ML models and data

    • Automate testing and monitoring of ML models

    • Integrate with CI/CD pipelines for continuous deployment

    • Provide collaboration tools for data scientists and engineers

  • Answered by AI
  • Q2. Data governance strategy
Round 5 - Behavioral 

(2 Questions)

  • Q1. Team management. Conflict resolution
  • Q2. Stakeholder management. Planning

Skills evaluated in this interview

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Don’t add your photo or details such as gender, age, and address in your resume. These details do not add any value.
View all tips
Round 2 - Coding Test 

Practise data structures based problems, should be able to explain the code and optimizations etc

Round 3 - Case Study 

Design system for e-commerce. How to scale the system with the demand

Round 4 - One-on-one 

(2 Questions)

  • Q1. Building ML ops platform from scratch.
  • Ans. 

    Building a ML ops platform involves designing infrastructure, tools, and processes to streamline machine learning workflows.

    • Design scalable infrastructure to support ML model training and deployment

    • Implement version control for ML models and data

    • Automate testing and monitoring of ML models

    • Integrate with CI/CD pipelines for continuous deployment

    • Provide collaboration tools for data scientists and engineers

  • Answered by AI
  • Q2. Data governance strategy
Round 5 - Behavioral 

(2 Questions)

  • Q1. Team management. Conflict resolution
  • Q2. Stakeholder management. Planning

Skills evaluated in this interview

Appsmith Interview FAQs

How many rounds are there in Appsmith Engineering Manager interview?
Appsmith interview process usually has 3 rounds. The most common rounds in the Appsmith interview process are Technical, Product Management and One-on-one Round.
What are the top questions asked in Appsmith Engineering Manager interview?

Some of the top questions asked at the Appsmith Engineering Manager interview -

  1. How do you define success metrics and how do you track ...read more
  2. Given multiple suggested improvements, what would be the priorities to solve th...read more
  3. Experience of developing app on appsmith? what improvements are mu...read more

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Appsmith Engineering Manager Salary
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₹36 L/yr - ₹75 L/yr
38% more than the average Engineering Manager Salary in India
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