[ratorx]

Interviews at FAANG don’t really work like that. The typical interviewer has very little say in metrics used to evaluate the candidate. Their job is to evaluate the candidate based only on those metrics, with little room for anything else.

Part of the reason is standardisation. There is lots of training given to avoid bias. I think you’ve misunderstood what the parent meant by interview skills. The criteria don’t select for social skills (beyond the basic), but rather for algorithmic skill. However, most day-to-day development will not require as much of it, which is the parent’s point.

I think most people are aware that the system is not perfect, but the process of determining the metrics (as far as I understand it; I’m a fairly new interviewer) is pretty data based. It’s been optimised to hire people without relying heavily on the interviewers all being very experienced (because that doesn’t scale enough for FAANG).

[therealdavesky]

Also the 'metrics' being used to make the final decision are secret, most likely not known even by the interviewer. This prevents gaming the system but the lack of transparency makes it easy to imagine that MANGA companies choose new hires the same way that South Park depicted the FED making economic decisions: with a headless chicken running around and finally falling down on a big diagram.