Two sharp rounds: first a rapid-fire SQL and statistics grilling, then a product-sense deep dive on Instagram Reels. I navigated cohort analyses, A/B pitfalls, and framed metrics around user stickiness; the interviewer nodded when I tied lift to business impact. Tough but fair—Meta prizes clarity and narrative as much as numbers. I left drained yet confident, takeaway in bold: master experiments, tell a crisp story.
Interview questions [1]
Question 1
How would you detect bots in Messenger chat logs?
A/B test shows 0.2% CTR drop but longer sessions—what next?
Define precision versus recall in a tweet-length answer.
The Interview Process is very structured -
First Tech Screening round - 45 mins (usually can extend a bit depending on the interviewer)
- 2 SQL Questions ( Medium to Hard ) - based on Joins
Full Loop - 4 rounds 45 mins each.
- SQL
- Behavioral
- Analytical Execution - stats & prob, A/B testing, case study
- Analytical Reasoning - Case study
Interview questions [1]
Question 1
Questions on Bayes Theorem, Probability distribution, etc.
I applied online. The process took 6 months. I interviewed at Meta
Interview
Completed 3 rounds of the process, which includes the initial recruiter screen, technical, full loop, and team matching.
Couldn't move past the full loop interview. The interview was very engaging, and I actually enjoyed working through the cases. No crazy questions.
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