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.
It's all organized. Be prepared to showcase your depth of thinking. Two analytical rounds will make you think on your ability to solve probability and experimentation problems. Have a structure for everything
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