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Ashish Jain (Head of Engineering, LEAD School) is building edtech infrastructure that reaches 40 lakh students across 8,000+ schools — in cities where electricity cuts out for two hours a day. He joins Naman to unpack:
Plus the bad hire he still thinks about — the candidate hired on accolades and brand name whose judgment he overrode — and what the three-trait hiring rubric that replaced it looks like. We close with Ashish's framework for staying relevant: build a lot, fail a lot, and talk to people constantly.
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About the podcast - Hiring in the age of AI
Hiring is being rewritten in the age of AI. Each episode, Naman Muley, Founder and CEO at utkrusht.ai, sits down with engineering leaders who actually own headcount budgets and interview loops to dig into what they're seeing change — how teams use AI day-to-day, what signals still matter in candidates, and how the definition of a "good hire" is shifting. Every guest also takes a live assessment, and we review it together on air.
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Show notes
Vedang Manerikar (co-founder, Unravel.Tech; ex-Helpshift, head of backend) believes AI builders still need to learn engineering fundamentals. He joins Naman to unpack:
Plus war stories — the non-CS hire who struggled for three months then turned into one of the best engineers Vedang ever worked with, and his first fire as a manager. We close with a live walkthrough of Vedang's 30-minute Python/Redis assessment on Utkrusht.
About the Bar Raiser podcast
Hiring is being rewritten in the age of AI. Each episode, Naman Muley, Founder and CEO at utkrusht.ai, sits down with engineering leaders who actually own headcount budgets and interview loops to dig into what they're seeing change — how teams use AI day-to-day, what signals still matter in candidates, and how the definition of a "good hire" is shifting. Every guest also takes a live assessment, and we review it together on air.
Show notes
From the publisher's feed
Software builds software in the Intelligence Age, then how do the best human builders get hired? We sit down with engineering leaders to explore how they evolve their mental frameworks to identify…
The engineering leaders in the trenches — the ones actually opening reqs, running loops, and making the call — answer questions the industry hasn't answered yet. What's working. What's broken. What they got wrong. How they're using AI to ship, and how they're spotting the humans who can ship with it.
Opinionated conversations on the future of hiring, from people who believe talent should be measured by what you can actually do.