J'ai passé un entretien chez Meta (New York, NY) en janv. 2019
Entretien
Recruiter screening which is short, recruiter basically asked about background and technical skills, then shared a bit more about the interview process.
Then a video interview about product and coding. The SQL question is not difficult, but I feel like the interviewer is looking for an exact same response with the correct answer rather than letting you make some mistakes along the way and then correcting it. Product questions are around whether you will launch a feature or how to improve a product, again, even if it is claimed that they are looking more at your thought process than the actual answer, I feel like the latter is what they care about in the end of the day. I guess it is understandable given that so many people are applying for the position which is not too technical, their bar needs to be high.
J'ai passé un entretien chez Meta (Menlo Park, CA)
Entretien
Conversation with recruiter in email. Technical screening round where they ask about SQL and product sense. Onsite-Loop with four rounds. They ask about SQL, Product Sense, Statistics, Behavioural questions. The difficulty is average.
The technical round kicked off with a design question about A/B testing for Facebook Reels, which I found engaging. Then, I tackled a SQL query on user comments and how to account for novelty effects in ongoing experiments. Thankfully, I had prepared with the company-specific questions on PracHub, and it made a real difference in my confidence. The entire process felt smooth, and after some behavioral questions, I received an offer that I happily accepted.
Questions d'entretien [3]
Question 1
Design an A/B test for a Facebook Reels ranking change and describe how you would interpret the results
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
Questions d'entretien [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