Enterprise AI buying has moved quickly, but durable adoption still depends on context, security, workflow fit, and measurable business impact. Daniel Simon, Enterprise Account Executive at Glean, joins John Kaplan and John McMahon to discuss what it takes to sell AI in complex enterprise environments, why multi-threading matters more when buyers are evaluating broad organizational change, and how strong sellers build trust by tying use cases to productivity, governance, and ROI instead of relying on product excitement alone.

Daniel Simon is an Enterprise Account Executive at Glean, where he works with large enterprises on AI adoption, knowledge discovery, and productivity across complex organizations. He brings experience selling enterprise technology into multi-stakeholder buying environments.

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Key takeaways from this episode:

00:00 – Introduction
02:40 – What it really takes to move from product fluency to business impact in enterprise sales.
06:35 – Why many sellers mistake a strong champion for a qualified enterprise deal.
08:47 – A look inside how AI can expose qualification gaps without replacing sales fundamentals.
18:12 – What leaders often overlook about context as the real differentiator in enterprise AI.
30:51 – Why face-to-face engagement quietly creates leverage in a crowded AI market.
42:58 – Dan Simon’s perspective on why consumption-based pricing raises the bar for customer success.
57:12 – Why AI will amplify strong sales discipline and expose weak execution.

Hosted by five-time CRO John McMahon and Force Management Co-Founder John Kaplan, the Revenue Builders podcast goes behind the scenes with the sales leaders who have been there, done that, and seen the results.

This show is brought to you by Force Management. We help companies improve sales performance, executing their growth strategy at the point of sale.

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