Round: Onsite · Type: Multiple Types · Difficulty: 8/10 · Duration: 300 min · Interviewer: Very Unfriendly
Topics: Data Structures, System Design, Behavioral, Data Modeling
Location: Los Gatos, CA
Interview date: 2026-01-01
Got offer: False
Summary
Round 1: Coding
Question: Implement a class that supports execute command and command undo. This mainly tests data structures and how to preserve the history of executed commands to undo the last command.
Round 2: Data Modeling
Question: Design ads data modeling. This round was very difficult and I felt like I couldn't finish it.
Round 3: System Design
Question: Design an ads audience targeting system that supports big data uploads.
Round 4: Behavioral
Question: Two rounds of behavioral questions with managers. One round focused on domain experience, with extensive questioning.
Details
Preparation Tips & Key Takeaways
What I Learned
Data modeling is a crucial aspect, and I need to improve my skills in this area.
Domain experience can be heavily scrutinized, so I should be well-prepared to discuss my past experiences in detail.
Recommended Preparation
Coding Practice
Practice implementing data structures that support undo/redo functionality.
Focus on problems involving command pattern implementation.
System Design
Study audience targeting system designs.
Review big data upload strategies and optimization techniques.
Data Modeling
Practice data modeling for advertising data.
Review common data schemas and optimization techniques.
Behavioral Questions
Prepare detailed STAR stories for experiences related to the specific domain.
Practice answering questions about challenges faced and how they were overcome.
Resources I Recommend
Online resources for data modeling techniques.
Case studies on audience targeting system designs.
Common Pitfalls to Avoid
Underestimating the complexity of data modeling.
Lack of preparation for domain-specific behavioral questions.