
Episode notes
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
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Connect with us on LinkedIn: https://www.linkedin.com/company/matchr/
Get in touch with us: https://www.matchr.io/who-we-are/contact/
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Connect with Tracy St.Dic: https://www.linkedin.com/in/tracy-stdic/
Connect with Adriaan Kolff: https://www.linkedin.com/in/adriaankolff/
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Resources mentioned in this episode:
Zapier's AI fluency rubric (v2), by Tracy: https://zapier.com/blog/raising-ai-fluency-bar-in-hiring/
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