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How to Nail your next Technical Interview

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Product Manager (Tech) Interview Course

Nail Product Manager (Tech) Interview at FAANG and Tier-1 Tech Companies
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Course designed and taught by instructors from FAANG & Tier-1 Tech Companies

Manoj Krishnan

Software Engineer
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Adrián Fernández

Engineering Manager
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Qiuping Xu.

Principal Data Scientist
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Technical Product Management Course Curriculum

This is what you'll learn in our Technical Product Management career path!

  • 15 Mock Interviews
  • 6-Month Support Period

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Product Manager (Tech) 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

  • The client-server model of Online processing
  • Top-down steps for system design interview
  • Depth and breadth analysis
  • Cryptographic hash function
  • Network Protocols, Web Server, Hash Index
  • Scaling
  • Performance Metrics of a Scalable System
  • SLOs and SLAs
  • Proxy: Reverse and Forward
  • Load balancing
  • CAP Theorem
  • Content Distribution Networks
  • Cache
  • Sharding
  • Consistent Hashing
  • Storage
  • Case Studies: URL Shortener, Instagram, Uber, Twitter, Messaging/Chat Services
2

Batch Processing Systems

  • Inverted Index
  • External Sort Merge
  • K-way External Sort-Merge
  • Distributed File System
  • Map-reduce Framework
  • Distributed Sorting
  • Case Studies: Search Engine, Graph Processor, Typeahead Suggestions, Recommendation Systems
3

Stream Processing Systems

  • Case Studies: on APM, Social Connections, Netflix, Google Maps, Trending Topics, YouTube
Product Management Topics
6 weeks
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.
1

Product Sense

  • Evaluating feature/product design
  • Designing a feature/product and framework for answering design questions
  • Estimation
2

Product Execution

  • Pricing
  • New Markets
  • Go-To-Market
  • Metrics
  • Big Picture Issues
3

Technical Product

  • Introducing Technical Modules
  • System Design Deep Dive
  • Metrics Deep Dive
4

Teamwork & Influence

  • Leadership
  • Ownership
  • Influence
5

Communication & Problem Solving

  • General communication
  • Understanding the customer
  • Success Stories 
6

Adaptability & Handling Conflict

  • Failures
  • Challenges and Risks
  • Conflicts and Resolution
Career Coaching
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

Interview Preparation

Interview Questions
Placement assistance
Behavioral Coaching
2

Resume & LinkedIn Masterclass

3

Salary Negotiation Masterclass

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

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Best Suited for

  • Current or Former Product/Program Managers
  • Program Managers/Product Managers looking to transition into Product Manager (Tech) Interview roles

Technical Product Manager Interview Process at Tier-1 Companies

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

Initial Screening

  • 2-3 rounds on Product Management Skills (Hard):
    Product management, metrics, planning and execution, hypothetical, and situational process design questions.
  • 1 Round on Soft Skills (Behavioral):
    Evaluating leadership and collaboration skills required to lead cross-functional teams, such as conflict management, delivering results, etc.

Behavioral Round

  • Questions related to your job experience
  • Discussions on past projects
  • Open-ended questions to gauge if you're a "good fit"
Top companies love hiring our candidates
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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
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What our students say

Vineet Joglekar
Software Development Manager
Offers from
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"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
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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