I applied through a recruiter. I interviewed at Meta (Tel Aviv-Yafo) in Aug 2020
Interview
The interview was for Novi. I was approached by a recruiter via LinkedIn. She put me in touch with a local tech recruiter for FB to set a date. First time, she did not approve the date and time. There was no call, ex expected.
I sent an email in the evening. She apologized, inquired for dates. I replied and did not get an answer. 2 days later, I get a phone call. OK. She talks for awhile, asks me if we do A/B testing. I tell her it's irrelevant to our company.
She did not ask about any other technologies I use or showed interest in experience, and since I have no experience in A/B testing, the job is irrelevant.
It was just a bad experience overall, mainly the unresponsiveness and lack of interest.
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.
Interview questions [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
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