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Hannah
Clinton
Senior Director, Revenue Enablement
Navan
Hannah Clinton, Senior Director, Revenue Enablement at Navan (formally TripActions), is passionate about elevating the sales and customer success professions. She has worn different hats in her 15 years in sales including operations, coaching, analysis and strategy as well as well mid and executive leadership roles. The learnings she took from these various positions ultimately led to finding her career home in leadership within the revenue enablement field. Having enjoyed working across Europe in London, Stockholm, Copenhagan and Berlin, last year Hannah made the move to New York City which she considers one of the leading centres for enablement excellence globally. When not working you will find her either getting in some cardio by pounding the pavements along the Hudson River or enjoying a Long Island vineyard, her favorite of which is Wolffer Estate.
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18 June 2026 11:15 - 12:00
Panel: Designing the sales operating system - methodology, process, and execution
Most revenue teams have a sales methodology. Many have defined stages, playbooks, and tools. Yet under quota pressure, behaviour reverts, inspection becomes inconsistent, and forecasting confidence drops. The gap isn’t the framework - it’s how (or whether) that framework is embedded into daily workflow, frontline coaching, and system design. This panel explores how senior leaders design a true sales operating system - one where methodology, process, and technology reinforce the same behaviours. How do you align CRM stages with qualification standards? How do you create visibility into execution, not just activity? And how do you ensure managers coach against the same framework that drives your forecast? Expect practical insights on connecting strategy to seller workflow without adding complexity. Key takeaways: - How to align methodology with CRM design, inspection rhythms, and forecasting - Where systems should reinforce behaviour, and where they create drag - Practical ways to drive execution consistency at scale