HeyJaredExponential Scale
Exponential Scale with Ron SchmelzerHelping Teams With Big Ambitions Scale without Scaling Headcount.The Exponential Scale podcast explores how the smallest teams are scaling big.
- Indexed episodes, last 90 days
- 10
- Latest publication
- Sep 10, 2026
- Audience
- Checking…
- Earliest in this view
- Jul 9, 2026
Latest episodes
Scaling AI in a Trillion Dollar Organization: Interview with Kristin Milchanowski, Chief AI & Quantum Officer, BMO Financial Group (opens the original)
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What happens when a small team inside a $1.5 trillion bank has to turn cutting-edge AI and quantum research into governed, production-grade outcomes? Kristin Milchanowski, Chief AI & Quantum Officer and Founding Director of the BMO Institute for Applied AI & Quantum, joins the show to explain how her lean team drives operating leverage at scale... without adding headcount. Kristin shares how BMO measures every AI initiative against business value before a single dollar is budgeted, why trust inv
$1M to $50M+ Bootstrapped — Interview with Guillaume Moubeche, Lempire (opens the original)
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Guillaume Moubeche started Lemlist with $1,000 and 30 VC rejections. Five years later, his company Lempire hit $57M ARR with 40% EBITDA margins and zero outside funding. He closed the first 100 customers himself in year one through self-prospecting, built a community that became his growth loop, and sold secondary shares in 2021. In this episode, Guillaume breaks down how "eating your own dog food" became a compounding growth engine, why revenue is a lagging indicator, and how he transitioned fr
Decisions That Scale — Interview with Hoda Helmi, Corteva Agriscience (opens the original)
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Hoda Helmi started as a team of one inside Corteva Agriscience — a $17.4B agricultural company with 21,500 employees across 110 countries — and built an AI and decision-science practice that now shapes how the enterprise makes its most consequential decisions. She didn't start with a data platform or an AI lab. She started with one decision and built outward. She introduces the "digital decision twin" — a living model of enterprise decisions, constraints, and possible futures — and explains why
Building a Sales Engine That Runs Without You — Interview with Collin Stewart, Predictable Revenue (opens the original)
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Collin Stewart built Predictable Revenue on Aaron Ross's legendary Salesforce cold calling 2.0 playbook — then pivoted to go-to-market consulting because the outsourcing work didn't align with what founders needed. Now he helps small teams build outbound sales engines that don't depend on the founder, and is launching predictable.ai to codify those plays. He introduces the 10/2 gap framework (importance vs. satisfaction) that reveals whether a problem is worth building a company around, explains
How does a Tiny 12 Person Team Support a $50 Billion Org? Interview with Shashank Kadetotad, Mars (opens the original)
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A 12-person data science team driving AI transformation across a $50B+ global conglomerate. Shashank Kadetotad, Global Sr. Director of Enterprise Data Science and AI at Mars, reveals how his lean team accelerates outcomes across hundreds of brands by building composable "accelerator" modules, defining criteria for failure before they start, and staying vendor-agnostic in a rapidly shifting AI landscape. Shashank shares how Mars went from weeks-long deployments to days using standardized forecast
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