Leaders in Talent is a podcast for Talent Acquisition, People, and HR leaders who are building modern, scalable, high-impact talent functions. Each episode brings you in-depth conversations with the operators, founders, authors, and practitioners shaping how companies hire, develop, and retain talent. We go beyond theory. Guests share the decisions, playbooks, data, and lessons learned from scaling global teams, implementing new talent technologies, designing employer brands, building recruiting operations, and turning TA into a strategic business function. If you work in talent and are solving challenges around growth, capability, culture, or transformation, this podcast gives you practical insight you can apply today. Real conversations. Real operators. Real lessons.
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Leaders in Talent Podcast with Adriaan Kolff is a business podcast hosted by Unknown Host, with 32 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.
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Unknown Host hosts Leaders in Talent Podcast with Adriaan Kolff, a business show with 32 episodes published.
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Episode #31
Start With the Pain, Not the Tool: John Keenan, Gong
Aug 4, 202628 min
In this episode of the Leaders in Talent podcast, Adriaan Kolff sits down with John Keenan, Director of International Talent Acquisition at Gong, the revenue AI company, where he leads recruiting across EMEA and APAC from Dublin. He has spent nearly 20 years in TA, from agency recruiting to LinkedIn, Pluralsight and now Gong, and he is also an executive coach. John's rule for AI in recruiting is to start with the pain point, not the tool. He walks through how he runs his week through Claude as an operating system, connectors and MCPs feeding a weekly-planning agent off a now.md file, why ATS data integrity now decides the quality of every insight, and the RAPID decision framework he uses to give hiring managers clear ownership. He and Adriaan get into the moment AI-generated content started irritating everyone, hiring for AI literacy, and where AI interviewers actually fit: useful for junior and volume screening, off the table for senior hiring. Timecodes 01:09 Welcome and John's background 02:17 What Gong does: revenue AI, 1,400 people 03:14 Don't start with the technology, start with the pain points 05:17 Claude as an operating system: connectors, MCPs, a weekly agent 07:14 Building the planning agent and the human stack 09:05 Why ATS data integrity now decides everything 10:03 Rolling Claude out to the team: licenses, training, AI for coaches 12:34 The AI-generated proposal that irritated everyone 14:07 An agent for mid-year reviews from 1:1 recordings 15:39 AI literacy as a hiring signal 16:18 Fake and AI-polished candidates: is inbound a bottleneck? 18:03 The RAPID framework: clarity on who decides 20:07 AI for bias mitigation and interview consistency 22:03 Will AI interviewers replace recruiters? 24:54 The mobile-phone news clip, and what normalises 25:45 Making time to think and build with AI 27:04 Where to find John ___________________________ Connect with us on LinkedIn: https://www.linkedin.com/company/matchr/ Get in touch with us: https://www.matchr.io/who-we-are/contact/ ___________________________ Connect with John Keenan: https://www.linkedin.com/in/johnkeenanlinkedin/ Connect with Adriaan Kolff: https://www.linkedin.com/in/adriaankolff/ ___________________________ RSS feed: https://media.rss.com/leaders-in-talent/feed.xml
The AI Question HR Keeps Getting Wrong: Syed Ali Abbas on Impact Over Efficiency at HelloFresh
Jul 21, 202642 min
In this episode of the Leaders in Talent podcast, Adriaan Kolff sits down with Syed Ali Abbas, Global Vice President of People for Business Units at HelloFresh Group. He has led HR at AT&T and PacNet Group, invests in early-stage HR startups, and does stand-up comedy. Most companies ask how AI can make HR more efficient. Abbas asks a different question: how does AI change the business, therefore the organisation, therefore HR? He covers what that means for HRBPs, talent acquisition and L&D, why the companies that cut deepest hired people back six months later, and how HelloFresh combined AI, robotics and supply chain software so packing productivity doubled without replacing anyone. One pilot centre now offers 350 meal options instead of 50. Timecodes 00:00 Cold open 01:36 Welcome and Abbas's background 02:35 A year of stand-up, and roasting HR from the inside 06:29 The question most companies ask about AI, and the better one 07:18 FOMO, token maxing, and "what's the plan and what's the payoff?" 09:31 What the reframe means for HRBPs, talent acquisition, and L&D 13:08 Inside HelloFresh: anonymous AI self-assessment and partner workshops 15:02 Tool access, the IT and legal review team, training the leaders first 17:36 HelloFresh in context: 20,000 people, a 400-person people team 18:14 Incremental mindset vs exponential mindset 20:37 Why the companies that cut deepest hired people back six months later 22:14 "Technically I'm pretty basic": Abbas on his own AI journey 23:56 The four-hour Claude workforce planning experiment 26:34 Peak hype, the trough of disillusionment, and not panicking 32:19 The installed base problem, and why people are the hardest part 34:21 Pull factors and push factors in a transformation 35:44 AI, robotics and 350 meals: inside the HelloFresh production centre 40:32 How to reach Abbas ___________________________ Connect with us on LinkedIn: https://www.linkedin.com/company/matchr/ Get in touch with us: https://www.matchr.io/who-we-are/contact/ ___________________________ Connect with Syed Ali Abbas: https://www.linkedin.com/in/syedaliabbashr/ Connect with Adriaan Kolff: https://www.linkedin.com/in/adriaankolff/ ___________________________ RSS feed: https://media.rss.com/leaders-in-talent/feed.xml
"I Hate AI": Karim Gharsallah on Why a Tool Is Not a Strategy
Jul 7, 202626 min
In this episode of the Leaders in Talent podcast, Adriaan Kolff sits down with Karim Gharsallah, Head of Talent Acquisition at BDR Thermea, the 7,000-person European manufacturer of boilers and heat pumps. Karim opened their prep call with three words: "Adriaan, I hate AI." The nuance is what makes this episode. Karim does not hate the technology, he hates what it is doing to how we communicate: every LinkedIn post with the same structure, personality fading out, and companies believing a tool will fix problems they have not defined. His line for it: a tool is not a strategy. Meanwhile he uses Claude every day, for the deep work of building the business case for a centralized TA function and for structured interview guides, and BDR Thermea's policy has just moved from "no AI" to public-information-only. He walks through the Recruitment Blueprint he is building: why companies that start by hiring recruiters end up with inconsistent processes, unclear ownership and agencies everywhere; taking ten steps back to define what recruitment should be; governance and hiring guides first; a baseline across seven countries; intelligent alignment instead of centralization for its own sake; the Ulrich model; and a flexible mix of roughly 60-70% in-house with RPOs and agencies for the rest. Karim and Adriaan also get into the move from scale-ups (VanMoof, and Recruitee where he was Global Head of TA) to a 7,000-person corporate: decision speed, pacing yourself, and why every company thinks it is uniquely complicated while having exactly the same hiring problems. Timecodes 01:09 Welcome and Karim's background 02:54 "Adriaan, I hate AI": the nuance behind it 04:39 Where Karim actually uses AI, and why he switched to Claude 05:22 BDR Thermea's AI policy: from "no AI" to public-information-only 06:38 AI use cases for a head of TA 07:46 Karim turns the table: AI fatigue 09:41 How Matchr is doubling down on AI 10:40 Rebuilding a website with AI instead of a 20,000 euro project 12:49 The Recruitment Blueprint: take ten steps back 14:21 BDR Thermea: 7,000 people, decentralized by acquisition 16:50 Centralize or not: intelligent alignment 18:30 The Ulrich model and building the baseline 20:57 "Every company thinks they're uniquely complicated" 21:49 From scale-up to corporate: the speed of decisions 23:24 AI principles before AI tools 25:26 Where to follow Karim ___________________________ Connect with us on LinkedIn: https://www.linkedin.com/company/matchr/ Get in touch with us: https://www.matchr.io/who-we-are/contact/ ___________________________ Connect with Karim Gharsallah: https://www.linkedin.com/in/karimgharsallah/ Connect with Adriaan Kolff: https://www.linkedin.com/in/adriaankolff/ ___________________________ RSS feed: https://media.rss.com/leaders-in-talent/feed.xml
Hiring for AI Fluency: Tracy St.Dic on How Zapier Raised the Bar for Every Hire
Jun 23, 202637 min
In this episode of the Leaders in Talent podcast, Adriaan Kolff sits down with Tracy St.Dic, Global Head of Talent at Zapier, the fully remote automation company of nearly 1,000 people across 42 countries. Before Zapier she was Senior Vice President of Recruitment at Teach For America, responsible for the largest and most diverse teacher pipeline in the US. Zapier assesses every hire, for every role, against an AI fluency rubric, now on version two because the internal team upskilled past version one within a year. Tracy breaks down its four components, why she measures the slope and not the snapshot (how fast people learn hard things), and what their AI recruiter found at the top of the funnel: 70 to 80% noise in technical pipelines, hidden gems among the auto-rejected, and candidate opt-in that grew from roughly a third to 81%. Plus where to start if your team is not AI native yet: deterministic automation and protected build time. Timecodes 01:04 Welcome and Tracy's background 02:17 Zapier in context: 1,000 people, 42 countries, fully remote 04:00 The 2023 "code red" that started AI fluency at Zapier 07:25 Inside the rubric: mindset, strategy, building, accountability 10:38 Four assessment points in the hiring process 11:49 The slope, not the snapshot 15:14 The AI recruiter at the top of the funnel 18:59 What candidates actually think of AI interviews 22:03 The AI surfaces, the recruiter decides 24:15 Rebuilding the hiring process for an AI-enabled world 27:40 What happens to the recruiter role 29:40 Where TA leaders should start: automation first 32:59 Build days: how the team upskills every three weeks 36:00 Where to follow Tracy ___________________________ Connect with us on LinkedIn: https://www.linkedin.com/company/matchr/ Get in touch with us: https://www.matchr.io/who-we-are/contact/ ___________________________ Connect with Tracy St.Dic: https://www.linkedin.com/in/tracy-stdic/ Connect with Adriaan Kolff: https://www.linkedin.com/in/adriaankolff/ ___________________________ Resources mentioned in this episode: Zapier's AI fluency rubric (v2), by Tracy: https://zapier.com/blog/raising-ai-fluency-bar-in-hiring/ ___________________________ RSS feed: https://media.rss.com/leaders-in-talent/feed.xml
Hiring the People Behind the AI Boom: Marcus Pask on Scaling Nebius from 300 to 3,000
Jun 4, 202652 minS0
<p>In this episode of the Leaders in Talent podcast, Adriaan Kolff sits down with Marcus Pask, a talent acquisition leader with 20 years in the field who is now helping AI infrastructure company Nebius scale from 300 to 3,000 people in 18 months.</p><p>Marcus started on an agency desk at 18, worked with investment banks at Hays, ran go-to-market hiring at Expedia, then joined Miro at around 200 people and helped scale it to 2,500 while leading global tech recruitment. Today he is a fractional TA consultant at Nebius, the engine room behind the AI boom, building the data centers that companies like Meta...
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