J'ai postulé via un recruteur. Le processus a pris 3 mois. J'ai passé un entretien chez Meta (Londres, Angleterre) en févr. 2022
Entretien
Process was quite long due to Christmas happening in between but went roughy like this:
1) 45 min recruiter call discussing role and if you have the relevant back ground
2) 45 min technical phone screen incl. 20 min SQL and 20 min product sense, 5 min q&a
3) 2 hours virtual onsite, with 4 back to back 30 min interviews testing product sense (product interpretation and applied data), SQL, quantitative analysis (stats and probability)
Still waiting for them to come back with a decision, have been told to expect one within 1-1.5 weeks of the last interview.
Questions d'entretien [1]
Question 1
Similar to what's already on this page.
- Product sense questions are either about gauging your product knowledge/understanding through questions like how would you measure the success / health of product/feature x
- The other part of product sense is evaluating you on your approach to a problem and how you are able to articulate an executable plan in a data-driven and hypothesis driven manner e.g. questions like if metric that we care about went up/down, how would you investigate this problem?
- SQL questions are leetcode medium-hard level and quantitative analysis is about your understanding of probability and statistics fundamentals.
J'ai postulé en ligne. J'ai passé un entretien chez Meta en juin 2025
Entretien
It kicked off with an initial phone screen that jumped straight into technical questions, so you really have to be warmed up—especially on A/B testing: framing the hypothesis, picking primary metrics and guardrails, walking through power/MDE, exposure and unit of randomization.
Questions d'entretien [1]
Question 1
Walk me end-to-end through how you’d run an A/B test for a new feature—start by selecting decision-driven metrics.
Meta's SQL screening tests query skills, optimization, and handling complex datasets. The case round evaluates problem-solving, business insights, and technical solutions to real-world scenarios using data-driven approaches. Its moderate difficulty
J'ai postulé en ligne. J'ai passé un entretien chez Meta (Menlo Park, CA) en mars 2025
Entretien
30 min call with recruiter, 1 hour Zoom interview based around product case and SQL/Python database questions. The final round is a loop interview. Two business case interviews, two technical interviews.
Questions d'entretien [1]
Question 1
Please solve this technical question using either R, Python, or SQL. If given a new feature, how would you measure its success rate in an area? If we added another featur,e how would that impact your original measurement.