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Theresa
McCluskey
VP of Global GTM Enablement
Vectra AI
Theresa McCluskey is a global enablement and go-to-market leader with more than 20 years of experience driving growth through learning, sales enablement, and strategic partnerships. As Global Enablement Leader at Claroty, she develops AI-powered training programs, sales tools, and coaching frameworks that help teams accelerate performance and scale success. Before joining Claroty, Theresa built her leadership foundation at FedEx and spent eight years at Deloitte leading Smart Manufacturing Ecosystem initiatives that advanced digital transformation and delivered measurable business impact. Outside of work, she serves on the board of Make-A-Wish Foundation and is passionate about building connections, empowering others through learning, and creating meaningful impact in her community.
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23 September 2026 09:15 - 09:45
Panel: The change management challenge of our careers?
Most conversations about AI focus on tools, workflows, and automation. Far fewer focus on what happens after those systems are deployed. As AI becomes embedded across forecasting, enablement, prospecting, customer intelligence, and revenue operations, managers are being asked to lead teams through a level of change unlike anything they've experienced before. This session explores how leadership is evolving in an AI-enabled GTM organization. Join revenue leaders as they discuss how they're driving adoption, building trust in AI-generated insights, developing new skills across their teams, and helping employees navigate a world where humans and AI increasingly work side by side. Expect a practical discussion on change management, manager readiness, organizational design, and the leadership capabilities that will matter most over the next decade. You'll walk away with: - How leading organizations are approaching AI adoption and change management - The role managers play in helping teams effectively use AI-powered workflows - Common leadership challenges emerging from AI-enabled GTM teams - Practical lessons for building trust, capability, and accountability in an AI-driven organization