I would love it if Google spent some time re-interviewing a bunch of their current employees, to see how good their interview process is compared to random chance.
I know their best employees would likely pass the interview with flying colors, but my hunch is that there would be a large percentage of their employees that would fail. If they did a thorough analysis, my hunch is that their hiring process is likely determined by who their interviewers are, rather than who the candidate is.
I'm not bitter because I was rejected twice, but I do believe that their hiring process is a lot more random than what they believe it to be.
I have interviewed over 100 candidates for my current company, thereby participated in post-interview meetings hearing other interviewers views on the candidate. I definitely feel that the selection process would fail many of the current, even some high-performing, employees.
I have no data-points for Google, but do recall an open aptitude test they had made available with a few problems so challenging that I felt nearly 100% sure that many of the current Google employees could not solve. Folks from Wolfram Research (the company behind wolfram-alpha) showed how to solve the problems [1] using Mathematica, their flagship product. (Turns out Google themselves had one of things incorrect!)
I know their best employees would likely pass the interview with flying colors, but my hunch is that there would be a large percentage of their employees that would fail. If they did a thorough analysis, my hunch is that their hiring process is likely determined by who their interviewers are, rather than who the candidate is.
I'm not bitter because I was rejected twice, but I do believe that their hiring process is a lot more random than what they believe it to be.