Escaping the AI Hiring Doom Loop | Daniel Chait, CEO & Ophir Samson, Head of Voice AI at Greenhouse
Most hiring decisions still come down to gut feel, and gut feel is full of blind spots — a favorite school, a firm handshake, the type of coffee someone carries into the room. As AI reshapes recruiting, the industry is being forced to ask whether decisions can be made on evidence instead of instinct. That means defining what actually predicts success in a role, testing every candidate against the same criteria, and being able to show the reasoning behind a hiring call rather than just a hunch. For anyone building a team, the question isn't whether bias exists — it's whether your process is built to catch it before it shapes who gets hired. Daniel Chait is the co-founder and CEO of Greenhouse, the hiring software used by tens of thousands of companies to run structured, data-driven hiring processes. Ophir Samson is Greenhouse's Head of Voice AI, leading the team following Greenhouse's acquisition of Ezra AI Labs, the voice AI interviewing company he founded. In the episode, Richie, Daniel, and Ophir explore the flood of AI-generated resumes drowning both job seekers and recruiters, how Voice AI interviews let candidates showcase themselves beyond a resume, structured hiring and scorecards for fairer decisions, bias audits and anti-cheat safeguards, EU AI Act compliance, and measuring success through pass-through rates and time savings, and much more. 0:00 Intro 2:04 Why job seekers are losing to bots 4:02 Why recruiters are drowning too 6:08 Getting noticed with Voice AI 9:25 Where Voice AI fits in the hiring flow 11:09 The 3 worries about AI interviews 14:37 How the AI evaluates without deciding 21:10 Handling accents, jargon, and non-standard speech 26:01 Measuring success: pass-through rate and time saved 30:18 Structured hiring, scorecards, and the Einstein bias test 38:55 Regulation, anti-cheat, and final advice Find DataFramed on DataCamp https://www.datacamp.com/podcast and on your preferred podcast streaming platform: Apple Podcasts: https://podcasts.apple.com/us/podcast/dataframed/id1336150688 Spotify: https://open.spotify.com/show/02yJXEJAJiQ0Vm2AO9Xj6X?si=d08431f59edc4ccd Links Mentioned in the Show: Zapier - Greenhouse: Conversational Application Voice AI — https://www.greenhouse.com/customer-stories/zapier-conversational-application-voice-ai Paradigm Strategy — https://www.paradigmiq.com Anthropic — https://www.anthropic.com Pipecat on GitHub — https://github.com/pipecat-ai/pipecat Daily — https://www.daily.co Are Emily and Greg More Employable Than Lakisha and Jamal? (AEA) — https://www.aeaweb.org/articles?id=10.1257/0002828042002561 Connect with Daniel: https://www.linkedin.com/in/dhchait/ Connect with Ophir: https://www.linkedin.com/in/ophirsamson AI-Native Course: Intro to AI for Work — https://www.datacamp.com/courses/introduction-to-ai-for-work Related Episode: How to Have a Machine Learning Career in 2026 — https://www.datacamp.com/podcast/how-to-have-a-data-science-career-in-2026 New to DataCamp? Learn on the go using the DataCamp mobile app - https://www.datacamp.com/mobile Empower your business with world-class data and AI skills with DataCamp for business - https://www.datacamp.com/business