It would be interesting to see if reducing reporting requirements allows more startups to go public earlier in their journey, hence opening up more opportunities for public to participate in the upside!
I would love help from the community on what the best solution for hiring is.
Sharing a real example I am going through ->
* A single LinkedIn post about a job I was hiring for got me 300+ candidates in a single day. I am sure if I went through the channels, I would have 1000+ candidates for a single role (assuming 1000 in this example).
* There are candidates that I think might be great for the role, who I will do outbound to try to attract them.
* A single interview process would involve at least 4+ people in the process, potentially taking half a day of cumulative eng time away from the company (4 hours).
The current hiring process is massively broken for all parties involved. It's not a good experience for candidates, or for hiring managers, or for the people who volunteer their time to interviews.
Out of the 1000 candidates, either AI, or humans today will pick, say, the top 50 to proceed to the next step (with humans). There's no "perfect" process to do this today, hence it's likely to happen based on past employers/colleges/github contributions etc.
Is there an opportunity for AI interviews for the other 950 people and find the hidden gems of talent who get overlooked today because of the biases above? This can especially help people who would be overlooked by typical ATS filtering mechanisms.
Email - [email protected]