Me postulé en persona. El proceso tomó 3 semanas. Acudí a una entrevista en Meta en abr 2019
Entrevista
Recruiter reach me out through linkdein and we schedule 30 minutes talk. She explained what the process look like : screen interview and then if you pass this phase 4 onsite interviews which include : 2 product sense questions, 1 sql , 1 mathematics / statistical questions. They will also share with you materials to get prepared for each of the parts
Preguntas de entrevista [6]
Pregunta 1
SQL part1
Question # 1 : you have the following table - User_id , action (post, edit, cancel) , date == > what is the post rate
Question # 2 : you have also the following table (active users) - User_id , country , active , date == > What is the average post rate for yesterday for all active users by country
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.
Preguntas de entrevista [3]
Pregunta 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
Preguntas de entrevista [1]
Pregunta 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