AI recruiting is changing how engineers get hired, and the old interview playbook is breaking.
Joseph Doyle shares what a candidate’s first hiring process looks like when everyone has access to AI tools.
We get into what hiring teams should optimize for now, including growth mindset engineers, emotional intelligence, and real signal over resume noise. You will also hear how candidates evaluate your AI strategy, your team, and your ability to execute, before they ever say yes.
If you are hiring in a competitive market, this episode will help you tighten your interview process, protect candidate experience, and screen for the people who will actually perform once they join.
In this episode
• Why AI can make recruiters faster, but relationships still win
• How to craft a value proposition that top engineers will believe
• What candidates are really asking when they ask about your AI strategy
• How to hire for first principles and growth mindset, not a narrow checklist
• Why emotional intelligence matters more as AI increases the noise
• When take home assignments help, and when they backfire
• How to design interviews that respect time and raise your close rate
Episode Highlights
00:00 What hiring teams are filtering for, even “desperation” shows up
01:15 Using AI to handle volume, and spend more time on relationships
05:48 Why you need a clear value proposition to attract engineers right now
06:06 Candidates asking deeper questions about team size and AI strategy
11:55 What growth mindset engineers look like in the AI era
13:23 Will recruiters still exist in 5 to 10 years
15:34 Why EQ and emotional intelligence are not optional in hiring
29:41 Hiring for potential, and focusing on the candidate experience
39:35 Timebox take home work, and debrief it like a real work scenario
43:06 Why starting with a take home can feel offensive to candidates
44:02 A better first step, get to know each other before assessing skills
47:45 The book recommendation, Raving Fans, and why it matters in recruiting
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