Working with startups a common theme emerges, the need to hire qualified people at scale is a challenge all of them face. Our guest today, Amit Bhatia, co-founder and CEO of Datapeople.io, is working to improve the recruitment process through data and science to allow much more precise measurement of how companies hire.
Amit’s Background:
CEO Co-Founder of Datapeople for 6 years, before you were a investment banker at Morgan Stanley and before that he was a Software Engineer working neural networks.
Aduro Advisors is the premier fund administrator for venture capital and private equity firms. Led by a team of industry veterans and powered by proprietary software, FundPanel.io, Aduro pairs best-in-class service with the robust and flexible technology that the industry demands.
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In this episode we discuss:
03:03 The history of Datapeople.io
05:17 How data helps solve the recruiting problem
07:31 Indicators that they found Product/Market fit
09:40 Current state recruiting
13:10 How Datapeople helps with transparency in the hiring process
16:56 Examples of how language in job listings can exclude qualified candidates
19:36 Ways to fix systemic problems in hiring
21:55 How referrals can be a part of the problem
26:52 Fixing the problems with internships
28:37 Getting better data to help solve hiring problems
31:48 Target market for Datapeople
33:01 How they get their data
34:53 Realworld results from using Datapeople
36:27 What’s next
Books Amit recommends:
Thinking Fast and Slow by Daniel Kahneman
Money Ball: The Art of Winning an Unfair Game by Michael Lewis
The Three-Body Problem by Cixin Liu
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Amit Bhatia of Datapeople.io on the future of recruiting and the impact of human biases