I love reading Hacker News for many reasons, but one of them is to see just HOW different "Silicon Valley/FAANG" mentality is from virtually everywhere else. Where 7 interviews and a full day on-site are seen as normal, productive, and fair to all involved.
FWIW, Where I'm at:
* Right now it's employee's market. I am pushing to have two short interviews with candidates, recruiting is pushing to minimize it to ONE. Otherwise we lose the candidates we most want to get - the highly qualified, ambitious ones who don't have time to waste and have opportunities and options
* We hire to keep. We are not hiring for somebody to do boilerplate for 12 months, stack their resume, and keep going. We are hiring to invest into them - ensure they learn about the business, the functionality, the processes, the system, the stakeholders, the clients, the team members; and perform well and smoothly and for a long time. As such, we find that technical skillset is important, but some of the non-technical skillsets much more so - sense of ownership and commitment, communication and soft skills, etc. So the 3 or 6 or 12 hours of coding problems really don't meet our needs.
I thought Google after a decade basically said - data doesn't support some of these crazy interviewing styles we have become known for. Did industry miss/ignore the data and decided to double down on making interviews more and more onerous, and more and more filtering out brilliant candidates who don't happen to be able to dedicate days of their lives (or weeks, for the inane interviews which require you to re-memorize your ComSci undergrad) PER OPPORTUNITY which may never hash out?
FWIW, Where I'm at:
* Right now it's employee's market. I am pushing to have two short interviews with candidates, recruiting is pushing to minimize it to ONE. Otherwise we lose the candidates we most want to get - the highly qualified, ambitious ones who don't have time to waste and have opportunities and options
* We hire to keep. We are not hiring for somebody to do boilerplate for 12 months, stack their resume, and keep going. We are hiring to invest into them - ensure they learn about the business, the functionality, the processes, the system, the stakeholders, the clients, the team members; and perform well and smoothly and for a long time. As such, we find that technical skillset is important, but some of the non-technical skillsets much more so - sense of ownership and commitment, communication and soft skills, etc. So the 3 or 6 or 12 hours of coding problems really don't meet our needs.
I thought Google after a decade basically said - data doesn't support some of these crazy interviewing styles we have become known for. Did industry miss/ignore the data and decided to double down on making interviews more and more onerous, and more and more filtering out brilliant candidates who don't happen to be able to dedicate days of their lives (or weeks, for the inane interviews which require you to re-memorize your ComSci undergrad) PER OPPORTUNITY which may never hash out?