ABOUT THIS EPISODE
Lindsey Irvine, Former CMO at Square, joined Unicorn Marketers to share her framework for leading a marketing organization through genuine transformation — not AI theater. She breaks down what actually stays the same in marketing's core functions, what has to change underneath them, and what entirely new roles are being created that most orgs haven't hired for yet. She also gets direct on what separates functional marketers from true business partners, and why narrative clarity may be the most undersupplied competitive advantage in B2B right now.
Topics Discussed:
What stays, what changes, and what is entirely new in how marketing functions operate
The two-lever framework for creating real AI experimentation capacity without killing execution
The sprint model for forcing genuine AI-native rethinking vs. AI-assisted versions of old workflows
How the marketing org chart is being redrawn and which new roles are emerging
The "context librarian" concept and why it may be the most important hire you haven't considered
What it actually takes to shift from functional marketing expert to genuine business partner
Why narrative clarity is a strategic moat in an AI-washed market
GTM Lessons For B2B Founders:
Treat AI transformation like a sprint, not a side project. Telling your team to use AI "when they have time" while keeping them at full capacity guarantees the status quo wins. Lindsey offers two concrete structures. The first: cut team capacity to 80% and protect 10-20% of weekly time for deliberate experimentation. The second is the ratio flip: cordon off a small group of people critical to high-value use cases, give them 80% of their time to rebuild those workflows from scratch, and only 20% to maintain current delivery. The sprint prompts she uses: Where would you involve human judgment and review? How far can an agent take it? What data from which systems? Where do things break? What does it take to reach production? The 10-20% dabble model rarely works because people default to what they know. The sprint forces genuine rethinking.
Every marketing function should pass one test. When reimagining a function with AI-native tools, if the answer to "what would this look like?" lands exactly where you are today, you are not pushing hard enough. Start with the business outcome, build from first principles, and let the process follow.
Hire for go-to-market thinking, not channel expertise. The old hire: five years running this system, owns this channel. The new hire: someone who understands the full go-to-market motion and ICP, thinks in systems end-to-end, and defaults to AI as the starting point for driving toward a business outcome. Deep functional expertise is giving way to broad systems orientation with AI-native instincts.
Build a context librarian before you scale your agents. As AI agents get deployed across go-to-market workflows, their output is only as good as the context they operate on. Someone has to own this: what do the agents know, what are they allowed to know, is that knowledge current, and how is competitive context being fed in. Lindsey breaks this into three components: information architecture, market intelligence and competitive strategy, and governance. Without this role, you scale stale or wrong context at machine speed across the entire motion.
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Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io
The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co
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Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role.
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