Podcast Summary: The Dave Gerhardt Show (Exit Five)
Episode: How to Lead Marketing Through the AI Shift with Bill Glenn (SVP of Marketing at Esper)
Date: February 11, 2026
Host: Jess Lytle (on behalf of Exit Five)
Guest: Bill Glenn, SVP of Marketing at Esper
Episode Overview
This episode brings a candid and insightful conversation with Bill Glenn, SVP of Marketing at Esper, focused on the realities of leading marketing through the ongoing AI transformation. With practical wisdom and humility, Bill discusses how marketers and teams can navigate the rapid changes, implement AI within their organizations, and foster a culture of curiosity and experimentation. The episode is rich with anecdotes, leadership advice, and specific tactics for integrating AI meaningfully—while keeping the human element at the forefront.
Key Discussion Points & Insights
1. Esper’s Background and Invisible Impact
- Overview of Esper's Work:
- Esper is a leading, 8-year-old mobile device management company, providing the software behind devices in industries like retail, food service, fitness, and telecommunications.
- Often described as "Intel inside"—critical infrastructure that's rarely seen, but critical when it fails.
- Quote:
"We're a little bit like an intel inside where most people don't know our brand. But when you start to look around... most likely Esper is powering that menu board behind the scenes." —Bill Glenn [03:00]
2. Embracing AI with a Growth Mindset
- Leadership Humility:
- Bill emphasizes being "okay with not knowing" and leading with curiosity, which he sees as vital given the ambiguity of the AI era.
- Quote:
"I sort of doubled down on I don't know what I don't know, and that's okay… being overly curious and being okay with not having the answer to everything." —Bill Glenn [06:06]
- Team Empowerment & Coaching Up:
- Encourages reversal of traditional hierarchy—letting AI-forward team members teach leaders, fostering company-wide growth.
- Quote:
"Let's sort of eliminate the hierarchy of the org and this is everybody's opportunity, not just in marketing, but in the entire company to really think about how they're going to think about their career progression." —Bill Glenn [08:28]
3. AI Adoption vs. The Internet Moment
- Historic Comparison:
- Bill parallels today's AI shift with the explosion of the Internet in the ‘90s—emphasizing the lack of playbooks then and now.
- "You hundred x kind of I feel like the impact of AI to just the Internet." —Bill Glenn [07:00]
- Behavioral Change is Key:
- Jess highlights how AI’s challenge is more about behavioral and workflow adaptation than merely tool choice. [11:21]
4. Implementing AI Strategically Across the Organization
- Cross-functional Leadership:
- Esper created a collective AI committee, including IT and People team leaders, to drive experiments, set guardrails, and scale adoption responsibly.
- Quote:
"We did assign... one of our ELT members. We called it the czar, but we intentionally said... each functional leader has to think for themselves." —Bill Glenn [12:39]
- Policy & Safe Experimentation:
- Clear channels established for proposing and piloting new AI tools, with an emphasis on security, compliance, and rapid feedback.
- Quote:
"If you can sort of follow these steps of if, you know, if you want to introduce a new tool, here's how you would bring it to either your manager or specifically to our IT team..." —Bill Glenn [17:00]
[Notable Timestamp]
[16:27]–[18:19]: Deep dive into Esper's strategy for balancing innovation with control, and lessons from Google’s internal AI “shark tank.”
5. Maturity Model for AI in Marketing
- Phases of AI Adoption:
- Productivity Gains / Efficiency ("phase one"):
- Using AI to automate repeatable, manual tasks (e.g., deck creation, data analysis).
- Impact Work / Augmentation ("phase two"):
- Using AI insights to drive smarter, higher-level strategy and decision-making.
- Embedded AI / Daily Rhythm ("phase three"):
- AI seamlessly integrated into daily workflows and tools.
- Quote:
"To me, AI phase one is about productivity gains... phase two... is what's the impact type of work..." —Bill Glenn [20:22]
- Productivity Gains / Efficiency ("phase one"):
[Notable Timestamp]
[20:14]–[22:37]: Maturity model explanation and its implications for team development and organizational evolution.
6. Flattening Hierarchies & Change Management
- Professional Development Evolution:
- AI empowers individuals at all levels to contribute and excel; leaders should foster environments where experimentation is encouraged.
- Quote:
"This is your inherent professional development happening in real time... let anybody at any level in the organization leapfrog leveraging AI." —Bill Glenn [25:38]
7. Culture Over Tools: Change Starts at the Top
- Behavior Change Above Tooling:
- The episode highlights that sustainable AI adoption comes from creating a psychologically safe and curious culture, guided by leadership.
- Quote:
"It's a change management meets human issue that we're dealing with here." —Bill Glenn [29:41]
- The Chief People Officer’s (CPO) role is elevated by this shift, making them key partners in the tech-driven transformation.
[Notable Timestamp]
[29:29]–[31:28]: Power of pairing executive and HR leadership for AI-driven cultural change.
8. Mentoring the Next Generation & The Entrepreneurship Angle
- Youth as Early Adopters:
- Bill shares mentoring insights, noting that students are already far ahead in AI adoption and that the next era is about the “me economy” and personal brand-building.
- Encouraging Entrepreneurship:
- The proliferation of AI and low-code tools democratizes innovation—students and employees can now build impactful solutions and companies with minimal resources.
- Quote:
"Embracing AI while you're in school. Is your leg up to entrepreneurship... they're like, I don't necessarily want to go that path and... now I have the tooling behind me." —Bill Glenn [33:00]
9. Hackathons, Internal Projects & “Boring” AI
- Internal Innovation:
- Esper’s hackathons mix teams from different functions to build practical business tools with AI—underscoring the “build your own software” future.
- Quote:
"We actually did in our group we did use Lovable to build an app... capturing leads at in person events in real time..." —Bill Glenn [37:44]
- Focusing on “Boring” AI:
- Real value often lies in automating repetitive, non-glamorous tasks, which compounds productivity.
10. Practical Advice: Experimentation & Time Blocking
- Intentional Experimentation:
- Leaders should explicitly give their teams permission to block time for AI experimentation, building the muscle of learning and innovation.
- Quote:
"Set aside dedicated time and call it experimentation time and build it into your calendar... that's the only way that I could actually make this work..." —Bill Glenn [40:47]
- Learning by Teaching:
- Having team members explain and teach their AI learnings solidifies expertise and builds a collaborative culture.
- Quote:
"How do you know somebody really learned something? They have to say it back to you." —Bill Glenn [42:37]
Memorable Quotes & Moments
| Timestamp | Quote | Speaker | |-----------|-------|---------| |03:00 | "We're a little bit like an intel inside... most likely Esper is powering that menu board behind the scenes." | Bill Glenn | |06:06 | "I sort of doubled down on I don't know what I don't know, and that's okay… being overly curious and being okay with not having the answer to everything." | Bill Glenn | |08:28 | "Let's sort of eliminate the hierarchy of the org and this is everybody's opportunity..." | Bill Glenn | |12:39 | "Each functional leader has to think for themselves..." | Bill Glenn | |17:00 | "If you can sort of follow these steps... here's how you would bring it..." | Bill Glenn | |20:22 | "To me, AI phase one is about productivity gains... phase two... is what's the impact type of work..." | Bill Glenn | |25:38 | "This is your inherent professional development happening in real time... let anybody at any level in the organization leapfrog leveraging AI." | Bill Glenn | |29:41 | "It's a change management meets human issue that we're dealing with here." | Bill Glenn | |33:00 | "Embracing AI while you're in school. Is your leg up to entrepreneurship..." | Bill Glenn | |37:44 | "We actually did in our group we did use Lovable to build an app... capturing leads at in person events in real time..." | Bill Glenn | |40:47 | "Set aside dedicated time and call it experimentation time and build it into your calendar..." | Bill Glenn | |42:37 | "How do you know somebody really learned something? They have to say it back to you." | Bill Glenn |
Leadership Q&A: Advice for New Marketing Leaders
Q: What’s your core advice for those stepping into VP/C-level marketing roles for the first time?
A:
- Recognize your "first team" is the executive leadership team; your functional team is your "second team" ([45:26])
- Build cross-functional relationships and focus on what drives the company, not just marketing’s success
- Deeply understand metrics that matter to the CEO, CFO, and board, and learn how marketing impacts those numbers
- Be willing to fail and learn in public—humility and business orientation will accelerate career growth beyond marketing ([46:48]–[49:24])
Final Takeaways
- AI Transformation is About People: Tools are important, but the winning strategy is to build a culture of courage, experimentation, and cross-functional inclusion.
- Empower Everyone: Flatten hierarchies and trust that innovation can come from anywhere in the org.
- Embrace Behavioral Change: Curiosity, shared learning, and time investment are more critical for AI success than any specific tool.
- Entrepreneurship is More Accessible Than Ever: Today’s culture and tooling empower anyone, especially the next generation, to build and disrupt.
Additional Resources Mentioned
- Esper (company): Device management for critical hardware experiences
- Lovable: No-code AI tool for app creation
- National Retail Federation (NRF): Major industry event
- Book: The Ruthless Elimination of Hurry
- Google's internal “AI shark tank” initiative (referenced as an inspiration for internal AI tool pitching)
For those navigating marketing leadership amid the AI revolution, this episode provides a blueprint grounded in humility, people-first strategy, and practical experimentation.