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Meta
Product Manager
Meta·Posted 2 months ago · Nov 2025

I basically treated this interview like a syllabus. I found the common Meta PM question bank online, practiced it in mocks, and most of the actual questions came straight from that same list.

Verified5 rounds6 questions
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Meta
Software Engineer, Product
Meta·Posted 3 months ago · Nov 2025

I think I was one of the first people to take Meta’s AI round, and the models I had were really bad, like ChatGPT mini. I tried asking for test cases and it would just spit out something completely wrong.

Verified4 rounds4 questions
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Meta
Data Engineer
Meta·Posted 3 months ago · Nov 2025

What stood out to me is that every loop round started with product sense, then I had to turn that answer into a data model, and from that they jumped straight into SQL and Python. One case was even an Instagram metric drop where I had to do root cause analysis live.

Verified4 rounds11 questions
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Meta
Product Manager
Meta·Posted 2 months ago · Jul 2025

Culturally, they struck me as much more direct about conflict than my current company. The vibe was state your view, defend it with data, then move on. They also wanted every answer tied back to the company's mission of connecting people, even in the cases that seem far away from social products. I got the sense that internal visibility matters a lot there.

Verified8 rounds7 questions
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Meta
Product Experience Analyst (IC6)
Meta·Posted 3 months ago · Jun 2025

The internal tooling and the data is incredible. When I was there last year, they had their own Meta AI wired into the most commonly used databases, so I could reference tables and column names and just prompt it to give me the query I needed.

Verified8 rounds
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Meta
Product Growth Analyst (L4/L5)
Meta·Posted 3 months ago · May 2022

At Meta, a product growth analyst is not considered any less than a PM. About 40% of them convert into PMs in one or two years because you are expected to know how even a red button versus a blue button makes a change.

Verified7 rounds3 questions
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Meta
Software Engineer
Meta·Posted 15 hours ago · Jun 2026

The process was pretty rigorous, mainly because the bar at E6 felt more about scope and judgement than just solving the questions. Recruiter was clear and helpful. The coding rounds went ok, but I spent too long explaining some edge cases. Design was probably the strongest part, good back-and-forth and tradeoffs. Behavioral was fine, though I could’ve been more specific with impact numbers. Overall, a solid process but definitely tiring.

1 round1 question
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Meta
Machine Learning Engineer
Meta·Posted 22 hours ago · Jun 2026

traditional interviews for MLE. coding rounds are AI-enabled meaning you can use claude or codex to write the code.

2 rounds2 questions
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Meta
Visual Designer
Meta·Posted 2 months ago · May 2026

The questions weren't too difficult, and the interviewers were friendly enough.

2 rounds3 questions
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