The process began with a recruiter screening, covering basic background, an overview of the interview process, and preparation tips. The recruiter was very helpful and offered solid advice, particularly emphasizing the STAR format for behavioral questions and brushing up on SQL for technical assessments.

Pre-screens included:

• A leadership behavioral round, focusing on team challenges and conflict resolution.
• A technical screening, which was SQL-heavy with some pseudocode, covering topics like data modeling and basic algorithms.

The onsite loop consisted of five rounds:

• Two technical rounds: one on metrics and schema design with SQL, and another involving brainstorming data problems.
• A system design round focused on measuring customer satisfaction for a food delivery app, where schema management and trade-offs were key.
• A leadership round, a mix of team management and mentoring stories.
• An ownership round, primarily about stakeholder management and prioritization.

Honestly, the leadership and system design rounds felt like the biggest tests.

I spent a lot of time practicing on LeetCode and conducting mock interviews with Meta coaches on Prepfully, which proved very beneficial.

The overall process was lengthy, but I had no complaints. Recruiters kept me informed throughout, and feedback was provided quickly after each round. The compensation was also excellent, meeting my expectations.

Design a system to track engagement with articles on a news website.

How would you measure engagement and identify popular content?