J'ai postulé en ligne. Le processus a pris 1 semaine. J'ai passé un entretien chez Meta (Menlo Park, CA)
Entretien
Recruiter reached out to me via LinkedIn. During initial screening with recruiter I was given prep materials, practice coding websites, and instructions on how to use Llama3 to generate example case studies. Case study interview consisted of describing my background and then walking through how I would design an experiment step-by-step and explain why.
Questions d'entretien [2]
Question 1
Design an experiment to increase engagement with Facebook.
J'ai passé un entretien chez Meta (Menlo Park, CA)
Entretien
Started with a recruiter/screening round and then moved into the full loop. The full loop had four rounds focused on analytical execution, analytical reasoning, technical skills, and behavioral. SQL was a major part of the process, along with product metrics, experiments, stats, and communication. The process was structured but still challenging because the questions were open-ended and required clear thinking, not just memorized answers.
Recruiter screening then 1 hr technical screen on sql and business case. The interviews were focused heavily on product thinking: defining clear success metrics, interpreting metric trade-offs, and designing solid experiments. The SQL portion was straightforward but expected clean logic and structured thinking. The case rounds really test how well you connect metrics to real business impact.
I got a little caught off guard because I was expecting only 25% coding but it was like 75% SQL coding (5-6 questions related to a business case) followed by a full research design of an A/B experiment. All of this was expected to be complete in 40 minutes so you need to be able to work really fast.
Questions d'entretien [1]
Question 1
One SQL problem required calculating correlation from scratch using SQL, was not expecting that.