Job applications are up 239% since ChatGPT launched, tech layoffs show no signs of slowing down, and the market for technical talent is a topsy turvy mess. 

Greenhouse has a unique vantage point to understand all of this: they process 22 million job applications a month across 7,500+ companies including HubSpot, Anthropic, Coinbase, and the NFL. CEO Daniel Chait has had a front-row seat to the strangest hiring market in decades, and he's here to advise us all on how to navigate it.

Daniel coined the term "AI doom loop" for what's happening: applications up 239% since ChatGPT launched, resume hacks like white-fonting and prompt injection up 500%, and 75% fewer applications reaching the hire stage. 91% of recruiters have spotted candidate deception. 38% of job seekers walk away from processes that include an AI interview.

It's the worst job market for candidates and the hardest hiring market for recruiters.

Daniel explains how technical talent can break the loop.

We cover:

• Why software engineers, according to Greenhouse data, are the worst auto-appliers and what to do instead
• The North Korean infiltration problem: deepfakes, laptop farms, and why companies are flying candidates in for in-person interviews again
• How AI screener interviews open up the funnel when companies are transparent about using them, and break it when they aren't
• Greenhouse Dream Jobs: how a single high-signal application a month converts at 5x the rate
• Why take-home assignments don't survive contact with AI and what Greenhouse uses instead
• What a coding interview looks like when leetcode is dead and engineers run 10+ Claude Code sessions in parallel
• The case for killing the resume entirely and rebuilding hiring around AI conversations

Chapters:
(00:00) Cold open: 239% more applications, 75% fewer hires
(02:14) Galileo
(03:05) The AI doom loop, defined
(04:01) How we got here: remote work, ZIRP, and ChatGPT
(07:51) Are software engineering jobs really in trouble?
(12:46) The trust crisis: 91% of recruiters spot deception
(15:52) North Korean spies, deepfakes, and laptop farms
(19:34) Can AI fix the problem it created?
(20:52) AI screener interviews and the uncanny valley
(26:33) Greenhouse Dream Jobs: one signal, 5x conversion
(28:31) Why auto-apply doesn't work (and what does)
(30:18) Communities, building in public, and the early-mover advantage
(37:08) Gen Z lost trust, and the bias problem
(39:04) Kill the resume: rethinking hiring from scratch
(43:34) How Greenhouse changed its own interview process
(48:47) Coding interviews in the agent era: leetcode is dead
(51:33) Predictions: more proof, more conversations, less noise
(54:34) Where job seekers and hiring teams should start

Connect with Daniel:

• Greenhouse: https://www.greenhouse.com
• My Greenhouse (for job seekers): https://www.mygreenhouse.com
• LinkedIn: https://www.linkedin.com/in/dhchait/

Connect with Conor:

• Newsletter: https://newsletter.chainofthought.show/
• Twitter/X: https://x.com/ConorBronsdon
• LinkedIn: https://www.linkedin.com/in/conorbronsdon/
• YouTube: https://www.youtube.com/@ConorBronsdon

More episodes: https://chainofthought.show

Thanks to Galileo — download their free 165-page guide to mastering multi-agent systems at galileo.ai/mastering-multi-agent-systems