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Why Most "What" Problems Are "Who" Problems
Manage episode 504353210 series 3676734
Вміст надано Teasha Cable and CModel Data. Весь вміст подкастів, включаючи епізоди, графіку та описи подкастів, завантажується та надається безпосередньо компанією Teasha Cable and CModel Data або його партнером по платформі подкастів. Якщо ви вважаєте, що хтось використовує ваш захищений авторським правом твір без вашого дозволу, ви можете виконати процедуру, описану тут https://uk.player.fm/legal.
In this captivating episode, Teasha Cable sits down with Teja Yenamandra, co-founder and CEO of Gun.io, the premier talent matching platform that's achieved a remarkable 91% placement rate.
Teja reveals how his company has revolutionized tech hiring by focusing on the quality of decisions developers make on actual projects, rather than traditional interview performance.
Discover why "most what problems are who problems," how to build teams where people make excellent decisions without your direct input, and why the best hiring approaches account for human psychology alongside systems design.
Teja shares insights on scaling through venture capital, building a memo-driven culture, and why he considers sourcing one of the most intellectually challenging problems in business.
From startups to Fortune 500 companies, learn how Gun.io connects world-class software developers with meaningful opportunities through rigorous vetting and personalized matching.
Plus, hear Teja's decision-making profile results and his framework for removing bias while maintaining the human touch in hiring.This episode is essential listening for tech leaders, entrepreneurs, and anyone involved in talent acquisition who wants to understand how great companies are built through great people making great decisions.
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