Wintage Club Insights

Scaling influence & embracing AI: Chris Mabry on the future of presales in 2025

Discover how presales is evolving from technical demos to strategic leadership. Chris Mabry shares insights on scaling teams, adapting to modern buyers, leveraging AI, and measuring impact at the board level in 2025.

Shrivarshini Somasekhar

March 21, 2025

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AI Summary

The presales role is evolving from technical support to strategic deal influence — SEs who shape buyer requirements and drive deal strategy are the most valued
AI enables presales teams to scale their influence without scaling headcount — automating repetitive technical responses so SEs can focus on high-impact customer engagements
The biggest barrier to AI adoption in presales is trust — teams need to see source attribution and verify AI outputs before relying on them in customer-facing interactions
SiftHub addresses the trust barrier with full source attribution on every AI-generated answer, letting SEs verify accuracy before sharing with buyers
The future of presales belongs to teams that combine deep technical expertise with AI-powered efficiency — manual-only teams will not be able to keep pace

The presales role is evolving from technical support to strategic deal influence — SEs who shape buyer requirements and drive deal strategy are the most valued
AI enables presales teams to scale their influence without scaling headcount — automating repetitive technical responses so SEs can focus on high-impact customer engagements
The biggest barrier to AI adoption in presales is trust — teams need to see source attribution and verify AI outputs before relying on them in customer-facing interactions
SiftHub addresses the trust barrier with full source attribution on every AI-generated answer, letting SEs verify accuracy before sharing with buyers
The future of presales belongs to teams that combine deep technical expertise with AI-powered efficiency — manual-only teams will not be able to keep pace

Remember a time when presales professionals were just considered "the demo people"? Those days are long gone.

Manisha Raisinghani, our Founder & CEO, recently sat down with Chris Mabry on the Wintage Club Conversations podcast, and the conversation revealed just how dramatically the presales function has transformed. Chris, who currently serves as VP of Solutions and Partnerships at Reprise and previously led the Presales Collective (the largest global community for presales professionals), shared a journey that many in the field would recognize.

"I started in a literal basement," Chris told Manisha with a laugh. "We actually called it the dungeon." From those humble beginnings in network engineering, a chance overhearing of a sales call sparked something in him. "I thought, hey, I know all the tech, but I loved what they were doing. I wanted to get really good at that skill and that craft."

That moment of inspiration launched Chris into a decade-long journey through the presales world, where he witnessed firsthand how the role has evolved from technical demonstrator to trusted strategic advisor. His insights offer a roadmap for anyone looking to elevate presales' impact across their organization.

The presales journey: Different stages, different challenges

One of the most enlightening aspects of the conversation was Chris's breakdown of the challenges presales teams face at different organizational stages:

Early-stage

In startups, presales professionals must be the ultimate "Swiss Army knife" - knowing the technology as intimately as engineers while mastering sales and marketing motions. They often represent the company solo at client sites, requiring exceptional versatility.

Mid-market

As organizations grow, the challenge shifts to scaling processes and defining responsibilities more clearly. presales teams frequently face competing expectations, engineering leaders want them to be as technically proficient as developers, while sales leaders expect the same people skills as top sellers.

Enterprise

At scale, the central challenge becomes extending influence across thousands of solution engineers while maintaining a consistent mission. As Chris memorably put it: "What CTO is to CEO is what presales is to sales teams." This encapsulates the ideal relationship, a trusted strategic advisor rather than a tactical resource.

Adapting to modern buyer behavior

Today's buyers have fundamentally changed how they approach purchasing decisions. Chris pointed out that we're all buyers in our personal lives - we can purchase cars from our phones, research products independently, and expect personalization as standard.

For presales teams, this means:

Generic demonstrations no longer work - "Imagine this is your company" has been replaced by the expectation of seeing your actual data
Hyper-personalization is non-negotiable
Fewer scheduled meetings, more hands-on experiences
Navigating a more complex decision-making landscape

Chris recommends that presales leaders experience their own buying journey firsthand: "Go through the buying journey yourself. Test your system." This direct experience reveals friction points that might otherwise go unnoticed.

The AI revolution in presales

2024 was when we saw AI move from proof-of-concept to production, particularly in presales.

Chris highlighted several high-impact applications:

Data transformation: Instantly creating vertical-specific demo environments customized to each prospect
Content enhancement: Improving storytelling and marketing materials (though with caution around creating noise)
Task automation: Freeing senior SEs from repetitive demonstrations to focus on strategic work

"Let's get our presales team back to being creative," Chris emphasized. "Let's have creative outreach and connections in real-life events that mean something, instead of seven back-to-back harbor tour demos."

"The ROI of these AI applications can be remarkable - up to 70% productivity improvement in some cases, often at a fraction of the cost of additional headcount."

Presales leadership in 2025: Metrics that matter

Looking ahead in 2025, Chris believes presales leaders need to focus on board-level metrics rather than tactical measurements. This means:

Tracking impact on pipeline, conversion, and retention
Measuring effect on customer acquisition costs
Demonstrating how presales shortens sales cycles
Building councils to improve feedback loops between leadership and frontline teams

"The top presales leaders in 2025 already are in that seat," Chris noted. "They're shaping strategy. They're well within the process of having board-level conversations."

Market conditions shaping presales strategy

Several market trends are influencing presales teams heading into 2025:

Rising customer acquisition costs: Making conversion efficiency more critical
Declining retention rates: Due to easier software switching
Cautious expansion: More selective hiring after adjustments in 2024
Toolkit investment: Focusing on tools that improve productivity rather than simply adding headcount

Final thoughts

Chris's dedication to improving the presales function was evident during this discussion. He envisions a transformation in how organizations perceive and utilize their solutions teams, moving beyond simply enhancing demos or technical validations.

The days of presales professionals being called in just to "show the tech" are fading. In their place, we're seeing strategic advisors who can speak the language of both technology and business value, who can measure their impact in terms that matter to the C-suite, and can leverage cutting-edge tools to deliver the personalized experiences buyers now demand.

As Chris advised before wrapping up the conversation: "Get examples of what good looks like out of your organization. And try to apply it internally. It's gold."

What is Chris Mabry's perspective on the future of presales?

Chris Mabry, a senior presales leader and thought leader, has articulated a vision for presales that centers on strategic leverage rather than tactical execution. His view is that the presales function is at an inflection point: teams that continue to operate as reactive technical support will be commoditized, while those that reposition as strategic deal architects will become increasingly central to revenue outcomes. The transition requires both mindset shifts and tooling investments that reduce the time SEs spend on work that doesn't require their expertise.

How does Chris Mabry define 'scaling influence' for presales professionals?

Scaling influence in presales means extending your expertise across more deals and more moments in the sales cycle than you can physically attend. Rather than being the bottleneck who must be present for every technical conversation, an SE with scaled influence has contributed to the knowledge systems, response libraries, and deal frameworks that help the entire revenue team perform better. This shift from individual expert to force multiplier is what Chris Mabry describes as the evolution that separates high-impact presales leaders from those still operating in a reactive model.

What does Chris Mabry say about the AE-to-SE ratio problem?

The AE-to-SE ratio problem is one of the most persistent constraints in enterprise sales: the demand for SE expertise consistently outpaces the supply, and the typical ratio (1 SE for every 4–6 AEs) means that SEs are perpetually overallocated. Chris Mabry has been vocal about the need to solve this problem structurally rather than by simply hiring more SEs. The structural solution involves AI tools that allow SEs to handle more deals simultaneously by automating the information-retrieval and documentation tasks that currently consume a significant portion of SE time.

How should presales leaders prepare their teams for AI-augmented workflows?

Chris Mabry and other presales leaders advocate for a phased approach: start with the highest-friction, lowest-judgment work—RFP response generation, security questionnaire completion, repetitive technical Q&A—and automate it first. This frees capacity without requiring teams to rethink their entire workflow. Then, use the recaptured time to invest in the higher-order skills that AI cannot replicate: customer empathy, complex problem framing, and strategic deal navigation. The teams that will succeed are those that use AI to eliminate the work that was never the best use of SE talent in the first place.

What presales skills become more valuable as AI handles routine work?

As AI handles information retrieval and documentation, the SE skills that increase in value are those that require judgment, creativity, and human connection. These include: translating complex technical capabilities into business value language specific to each buyer's context, facilitating multi-stakeholder conversations where the dynamics are political as much as technical, designing custom proof-of-concept experiences that address a buyer's specific risk concerns, and building trusted advisor relationships with economic buyers who expect strategic engagement rather than feature demonstrations.

How is the presales profession changing according to leaders like Chris Mabry?

The presales profession is shifting from reactive order-taker to proactive deal architect. Leaders like Chris Mabry describe a future state where SEs are involved earlier in the sales cycle, contribute to account strategy rather than just technical validation, and are measured on deal outcomes rather than activity metrics. This requires presales leaders to reframe how they hire (looking for business acumen alongside technical depth), how they develop their teams (investing in communication and strategic skills, not just product knowledge), and how they integrate with the broader revenue organization.

What is the single most important investment a presales team can make in 2025?

Based on conversations with presales leaders including Chris Mabry, the highest-return investment for presales teams in 2025 is building a structured, AI-accessible knowledge foundation. This means capturing the team's best answers, most effective discovery frameworks, and strongest competitive responses in a format that AI can retrieve and surface during live deals. Teams that invest in this knowledge infrastructure see the compound return of better individual performance, faster onboarding of new SEs, and higher consistency across the entire team—not just from their top performers.

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