I applied through a recruiter. I interviewed at Meta
Interview
I was told that the technical phone interview would be about 45 minutes, and would cover basic math/probabilities, product analytics, and coding. We never did any math questions though.
The interview itself was a pretty pleasant experience, and my interactions with Facebook recruiters/interviewers have been friendly and informative. I always had the impression that they wanted me to do well.
Interview questions [1]
Question 1
There was an open-ended analytics question: What is a Facebook product that you'd be interested in working on, and how would you use analytics?
And another more specific question: We've introduced this particular new feature (it was something about friend recommendations). How should we determine whether to keep it or not?
The coding question could be done in Python, SQL, or R. It was a straightforward problem that involved calculating the friend acceptance rate over time. The table consisted of events (friend request or acceptance), date, and user id's.
Tough interview overall—definitely not what I expected. The technical rounds were intense, particularly when they had me design an A/B test for the News Feed ranking algorithm. I had to discuss metrics and sample sizes in detail. Lucky for me, the time I spent on PracHub right before the interview helped me nail that deep-dive question as it mirrored what I practiced. The behavioral questions felt standard but were still challenging. After a whirlwind process, they extended an offer, which I happily accepted.
Interview questions [1]
Question 1
Design an A/B test to evaluate a new ranking algorithm for the Facebook News Feed. Walk through metric selection (engagement, time-spent, MSI, well-being), unit of randomization given network effects between friends, sample size and power calculations, how you'd detect novelty effects vs. true lift, and how you'd handle a guardrail metric regressing while the primary metric is up.
Total 7 rounds: first round for resume screening, second for technical screening, then for on-site virtual with 4 interviews back to back, then hiring manager round after team matching and then salary negotiation with HR
Interview questions [1]
Question 1
Meta’s evaluation rubrics focus heavily on "Product Thinking over Fancy Math". Interviewers want to see if you can operate like a product owner with an analytical mindset, navigating messy scenarios affecting billions of users
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.
