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How AI is Inspiring Sales Leaders to Look Beyond Quota to Build a Winning SDR Team
Michelle Galatis, Global Head of Sales Enablement at memoryBlue, on why bridging the SDR-to-AE gap takes purpose, not hope, and how AI is helping teams get there.

Key Points
Sales teams are adopting AI tools to automate outreach, but most still evaluate reps on quota alone, leaving the skills, confidence gaps, and career pathways beneath that number unaddressed.
Michelle Galatis, a Global Head of Talent Development at memoryBlue, uses AI role play, competency mapping, and cross-functional alignment to build a clearer picture of what makes a rep succeed.
Defining what good performance looks like and giving reps structured ways to develop toward it reduces ramp time, improves retention, and replaces guesswork with a real path forward.
Quota is how you get paid, and it should be a core metric. But there is so much skill-building beneath it that gets missed.
Quota tells sales leaders who is winning. It rarely tells them why. As AI floods the market with tools built to automate outreach and scale activity, the deeper problem persists on the management floor. Teams are still measuring talent development with a single number, leaving the competencies beneath it unexamined and uncoached.
Michelle Galatis is the Global Head of Talent Development at memoryBlue, where she leads training strategy across North America and EMEA. A former sales and enablement leader at Appian and MicroStrategy, she has driven global training programs tied directly to revenue growth. She brings that lens to one of sales’ most persistent blind spots: understanding why reps succeed or fail. "Quota is how you get paid, and it should be a core metric. But there is so much skill-building beneath it that gets missed," says Galatis. When managers stop at the number, underperformers get written off without a clear diagnosis, and top performers stagnate without a visible path forward.
Taking the wheel: New SDRs face a challenge that no amount of product knowledge solves: picking up the phone for the first time. To build early confidence, Galatis and her team use AI to simulate real prospect conversations, giving hires a low-stakes environment to practice before ever dialing a live list. But the philosophy extends beyond onboarding. Giving reps ownership over their own development at every stage makes skill-building intentional and continuous, without relying solely on manager availability or circumstance. "The great thing about leveraging AI for virtual role play is that reps can get as many practice repetitions as they need. They can go and practice with that bot essentially every day," says Galatis.
The missing link: Many organizations assume SDRs will figure out how to transition into closing roles on their own, leaving both the employee and the hiring manager at a disadvantage. Structured career frameworks clarify the skills and milestones required for promotion, replacing guesswork with a clear path to demonstrate readiness for larger responsibilities. "Most enterprise companies are not going to hire someone who was just a great SDR for two years because it's a risk. Can this person actually close deals when they've never done it before? We have to bridge that gap with purpose, instead of with hope," says Galatis.
Scaling this approach requires aligning teams that often operate in silos. Sales leaders focus on pipeline and revenue, trainers translate effective behaviors into curricula, recruiters identify candidates who fit the culture, and marketing brings market insights and messaging. Without a shared definition of what makes a strong rep, these groups work past each other and create gaps at critical handoffs. Talent development serves as the connective tissue, keeping strategy, training, and hiring moving in sync.
No quota, no problem: In most organizations, every team carries its own priorities. Talent development sits apart from that. Operating without a quota creates a uniquely neutral vantage point, one that allows the function to hear from every corner of the business and translate what it learns without a conflicting interest getting in the way. For Galatis, that position is the whole point. "We are solely here to better enable the team, and that puts us in a really good position to drive the business forward through its people," she says.
The gold standard: Sales teams provide first-hand insight into what works on the front lines, training translates those behaviors into repeatable practices, and talent teams use that understanding to refine hiring profiles. Marketing closes the loop by sharing which messaging resonates in the field, so new SDRs enter onboarding with proven language and strategies rather than starting from scratch. "Salespeople excel at sales, and trainers excel at training. But if we can define what good looks like, the training team can make more people good at it, and the talent team can update their sourcing to reflect it," she says.
Building a team, not a roster: Even with strong alignment across departments, human dynamics complicate team design. The qualities that make a rep effective individually do not always translate into a healthy team environment, and sales leaders who hire purely for output can find themselves managing conflict rather than pipeline. "When you look at who the best person is, it sometimes has to go beyond just who is best at hitting numbers. You might hit your numbers, but then people start fighting over territory, and that becomes a nightmare for a manager," says Galatis.
That dynamic only holds if both sides are actually talking. When communication breaks down, managers default to vague frustration, recruiters keep sourcing blind, and the hiring loop stalls for everyone. Even when teams are aligned, individual rep performance still requires its own diagnosis. Tracking core SDR metrics alongside onboarding survey data reveals a telling pattern in the gap between perceived readiness and actual output. Low confidence paired with low production points to a training need. High confidence with lagging numbers signals something harder to spot, a disconnect between how prepared a rep thinks they are and how that actually plays out on a live call.
As AI becomes more deeply embedded in the platforms sales teams already use every day, the technical layer of enablement continues to grow. But for Galatis, the technology is only as useful as the foundation beneath it. The goal is not to replace human judgment but to get closer to defining what works and giving more people a real path to get there. "You cannot perfectly formulate human beings, but we can get closer to saying this is what works. If we can start moving people more toward what works, we will hopefully see better progression across the team and more people wanting to stay longer. If we can start moving people more toward what works, we will hopefully see better progression across the team."





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