GIỚI THIỆU VỀ TẬP NÀY
RevOps isn’t a help desk—it’s a product function.
“AI can provide the data, we can automate the workflow, but it can't design the experience that people actually want to use.”
Revenue operations is less about managing tools and more about designing experiences people actually want to use.
Mollie Bodensteiner, Senior VP of Operations at Engine and former operations leader at Deloitte, explains why most ops teams become their own bottlenecks. She says successful revenue operations requires treating internal stakeholders like customers and that most enterprises over-engineer solutions instead of learning fast.
She shares how Engine scaled 70% year-over-year by organizing ops into pod structures—eliminating meeting fatigue and ensuring enablement isn't the last to know. That taught her to prioritize transparency over false promises when managing competing demands.
Mollie also walks through her prioritization matrix for deciding what makes the cut, warning that ops leaders who spend months on PowerPoints instead of testing will lose. She recommends hiring for curiosity over hard skills and setting quick wins within the first two weeks of onboarding. Her biggest warning: perfection kills momentum.
She predicts AI will separate operators who understand experience design from those who just automate workflows, freeing revenue teams to focus on the necessary instead of the unnecessary work that exhausts analysts before insights happen.
