Engineering Manager Interview Course

Nail Engineering Manager interviews at FAANG and Tier-1 Tech Companies
Want to know more?

Next webinar starts in

00
Days
:
00
Hrs
:
00
Mins
:
00
Secs
Want to know more?

Course designed and taught by instructors from FAANG & Tier-1 Tech Companies

Manoj Krishnan

Software Engineer
No items found.

Adrián Fernández

Engineering Manager
No items found.

Qiuping Xu.

Principal Data Scientist
No items found.

To learn more about the course

Next webinar starts in

00
Days
:
00
Hrs
:
00
Mins
:
00
Secs

Engineering Manager Course Curriculum

This is what you'll learn in our Engineering Manager career path!

  • 15 Mock Interviews
  • 10-Month Support Period

To learn more about this course

Next webinar starts in

00
Days
:
00
Hrs
:
00
Mins
:
00
Secs

Front-End Engineering course and curriculum

System Design
3 weeks
3 live classes
1

Online Processing Systems

Common Scalable Concepts like DBs, Cache, Messaging Queue, etc., and Common Design Problems
2

Batch Processing Systems

Batch Processing Concepts in-depth and Common Design Problems for FAANG+ interviews
3

Stream Processing Systems

  • Case Studies: on APM, Social Connections, Netflix, Google Maps, Trending Topics, YouTube
Design real-time data-intensive applications like Google Maps, Netflix, etc.
1

Online Processing Systems

Common Scalable Concepts like DBs, Cache, Messaging Queue, etc., and Common Design Problems
2

Batch Processing Systems

Batch Processing Concepts in-depth and Common Design Problems for FAANG+ interviews
3

Stream Processing Systems

  • Case Studies: on APM, Social Connections, Netflix, Google Maps, Trending Topics, YouTube
Design real-time data-intensive applications like Google Maps, Netflix, etc.
Careers Workshop
2 weeks
2 live classes
1

Online Processing Systems

Common Scalable Concepts like DBs, Cache, Messaging Queue, etc., and Common Design Problems
2

Batch Processing Systems

Batch Processing Concepts in-depth and Common Design Problems for FAANG+ interviews
3

Stream Processing Systems

  • Case Studies: on APM, Social Connections, Netflix, Google Maps, Trending Topics, YouTube
Design real-time data-intensive applications like Google Maps, Netflix, etc.
1

Uplevel your professional branding, including Linkedin profile and resume

2

Learn interview strategies and salary negotiation techniques

3

Get well-researched market compensation data

4

Identify and prioritize your requirements in terms of roles

5

Discover roles best suited to your profile

Leadership Workshop
2 weeks
4 live classes
1

Online Processing Systems

Common Scalable Concepts like DBs, Cache, Messaging Queue, etc., and Common Design Problems
2

Batch Processing Systems

Batch Processing Concepts in-depth and Common Design Problems for FAANG+ interviews
3

Stream Processing Systems

  • Case Studies: on APM, Social Connections, Netflix, Google Maps, Trending Topics, YouTube
Design real-time data-intensive applications like Google Maps, Netflix, etc.
We help you master a set of question patterns and ensure that you are able to map them to one of our solution methodologies: STAR, Ice Breakers, and Philosophical methodologies. 
Sessions on question patterns to understand what interviewers are looking for when they ask questions falling under the listed categories:
1

Project Experience

Tell me about a project you led from ideation to launch.
2

Motivations and Values

How do the company’s values and ideals align with yours?
3

Leadership Profile

Tell me about the biggest team you’ve built or overseen.
4

Ice Breakers

Tell me about yourself.
5

Personal Growth

How do you stay updated and educated on industry trends?
6

Conflict Resolution

How do you get people to agree with your point of view?
7

Execution and Planning

How do you deal with situations where your team is falling behind deadline?
8

Cross-Functional Skills

Tell me about a time when your team’s goal was not aligned with another team with whom they were working.
Data structures and Algorithms
5 weeks
5 live classes
1

Online Processing Systems

Common Scalable Concepts like DBs, Cache, Messaging Queue, etc., and Common Design Problems
2

Batch Processing Systems

Batch Processing Concepts in-depth and Common Design Problems for FAANG+ interviews
3

Stream Processing Systems

  • Case Studies: on APM, Social Connections, Netflix, Google Maps, Trending Topics, YouTube
Design real-time data-intensive applications like Google Maps, Netflix, etc.
1

Sorting

  • Introduction to Sorting
  • Basics of Asymptotic Analysis and Worst Case & Average Case Analysis
  • Different Sorting Algorithms and their comparison
  • Algorithm paradigms like Divide & Conquer, Decrease & Conquer, Transform & Conquer
  • Presorting
  • Extensions of Merge Sort, Quick Sort, Heap Sort
  • Common sorting-related coding interview problems
2

Recursion

  • Recursion as a Lazy Manager's Strategy
  • Recursive Mathematical Functions
  • Combinatorial Enumeration
  • Backtracking
  • Exhaustive Enumeration & General Template
  • Common recursion- and backtracking-related coding interview problems
3

Trees

  • Dictionaries & Sets, Hash Tables 
  • Modeling data as Binary Trees and Binary Search Tree and performing different operations over them
  • Tree Traversals and Constructions 
  • BFS Coding Patterns
  • DFS Coding Patterns
  • Tree Construction from its traversals 
  • Common trees-related coding interview problems
4

Graphs

  • Overview of Graphs
  • Problem definition of the 7 Bridges of Konigsberg and its connection with Graph theory
  • What is a graph, and when do you model a problem as a Graph?
  • How to store a Graph in memory (Adjacency Lists, Adjacency Matrices, Adjacency Maps)
  • Graphs traversal: BFS and DFS, BFS Tree, DFS stack-based implementation
  • A general template to solve any problems modeled as Graphs
  • Graphs in Interviews
  • Common graphs-related coding interview problems
5

Dynamic Programming

  • Dynamic Programming Introduction
  • Modeling problems as recursive mathematical functions
  • Detecting overlapping subproblems
  • Top-down Memorization
  • Bottom-up Tabulation
  • Optimizing Bottom-up Tabulation
  • Common DP-related coding interview problems

Relevant Technical Domain Course
4-6 weeks
4-6 live classes
1

Online Processing Systems

Common Scalable Concepts like DBs, Cache, Messaging Queue, etc., and Common Design Problems
2

Batch Processing Systems

Batch Processing Concepts in-depth and Common Design Problems for FAANG+ interviews
3

Stream Processing Systems

  • Case Studies: on APM, Social Connections, Netflix, Google Maps, Trending Topics, YouTube
Design real-time data-intensive applications like Google Maps, Netflix, etc.
Candidates can choose from:
  • Data Engineering
  • Machine Learning
  • Data Science
  • Front-end
  • Back-end
  • Full-stack
  • Test Engineering
  • SRE
  • Cloud
  • Android
  • iOS
  • Security
  • Embedded Software
Support Period
6 months
1

Online Processing Systems

Common Scalable Concepts like DBs, Cache, Messaging Queue, etc., and Common Design Problems
2

Batch Processing Systems

Batch Processing Concepts in-depth and Common Design Problems for FAANG+ interviews
3

Stream Processing Systems

  • Case Studies: on APM, Social Connections, Netflix, Google Maps, Trending Topics, YouTube
Design real-time data-intensive applications like Google Maps, Netflix, etc.
1

15 mock interviews

2

Take classes you missed/retake classes/tests

3

1:1 technical/career coaching

4

Interview strategy and salary negotiation support


Next webinar starts in

00
Days
:
00
Hrs
:
00
Mins
:
00
Secs

Best Suited for

  • Current Engineering Managers in a TL/Manager role or former Engineering Managers (Including TL/Managers)
  • Current or former Sr. Engineering Managers
  • Current or former Directors of Engineering

Engineering Manager Interview Process at Tier-1 Companies

We prepare you for all stages of a typical Engineering Manager interview process at FAANG and Tier-1 companies

Initial Recruiter Phone Screening

  • Expect a few basic behavioral questions and those that cover the basic expectations from the role. 


Technical Phone Screen

This will generally be a technical round focusing on data structures and algorithms.

  • Expect open-ended questions that require you to ask clarifying questions
  • You should be able to explain your thought process algorithmically, implement workable code (fix any mistakes or bugs), optimize, test, and discuss your solutions.


Onsite Rounds

  • 1-2 Coding Rounds: Focusing on conceptual understanding(requires a strong understanding of at least one language, preferably C++, Java, Python, Go, or C) 
  • 2 System Design Rounds: Hold more weightage than the coding rounds. The questions will typically focus on existing products (for example, “How would you design Twitter’s feed?”)
  • 2 Behavioral/Leadership Rounds: Questions about your experience managing people, projects, as well as your ability to grow and develop strong teams. 
Top companies love hiring our candidates
No items found.

Top companies love hiring our candidates!

10K+

Experienced engineers enrolled

7

Years of successful training in Silicon Valley

18

Highest number of offers received by an alum

5

Avg years of experience of our alumni

What our students say

Vineet Joglekar
Software Development Manager
Offers from
Google_logo

"IK helps you build a problem-solving mindset, offers very rich foundational material, introduces typical interview problems, offers technical and behavioral coaching sessions and mock interviews from industry experts to succeed in tech interviews".

Swapnil Tailor
Offers from
Google_logo

Interview Kickstart is like a fitness coach which guides to achieve your dream job. It can help you identify your weak points and also suggest steps to improve them.

Rupesh Dabbir
Offers from
Google_logo

Interview Kickstart (IK) provides you a solid platform to not only strengthen your algorithm and interview game, I've had the pleasure of meeting some of the best/brightest minds in the industry (Faculty and students included). It was a humble experience, to say the least.

Frequently Asked Questions