Ho presentato la mia candidatura tramite un selezionatore. La procedura ha richiesto 2 settimane. Ho sostenuto un colloquio presso Meta (New York, NY) nel mese di mag 2020
Colloquio
Was contacted by a recruiter over linkedin – the process started with a HR screen then followed by a technical screen. The people were nice, they have fully optimized their process. BUT, I get the feeling that they are so pedantic about their questions that I feel they are optimizing for good exam takers rather than critical thinkers.
Domande di colloquio [1]
Domanda 1
HR screen: tell us about your past experience, skills and interests
Tech screen: How would you setup an experiment to understand feature change in instagram stories. How would decide to launch or not if engagement within a specific cohort decreased if all the rest increased?
Ho sostenuto un colloquio presso Meta (Menlo Park, CA)
Colloquio
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.
Domande di colloquio [3]
Domanda 1
Design an A/B test for a Facebook Reels ranking change and describe how you would interpret the results
Ho sostenuto un colloquio presso Meta (Cambridge, MA)
Colloquio
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
Domande di colloquio [1]
Domanda 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