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.

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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 KahnemanMoney Ball: The Art of Winning an Unfair Game by Michael LewisThe 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

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Amit Bhatia of Datapeople.io on the future of recruiting and the impact of human biases