Revenue Engine Masters

Scalestack.ai

Welcome to Revenue Engine Masters by Scalestack. The podcast for GTM leaders tired of duct tape, chaos, and the Manual Work Tax. Every month, we sit down with the boldest voices in Revenue, RevOps, Sales, and Marketing Ops to tackle the root problem holding teams back. No more firefighting. No more spreadsheet gymnastics. Just honest conversations about scaling GTM with systems that actually support strategy. Welcome to the movement to make revenue autonomous. This is Revenue Engine Masters. Let’s get to work.

  1. 12/04/2025

    The Architecture of Modern GTM: Strategy, AI, and Foundational Data

    “If you don’t have normalization of the metadata across the application layer, you cannot create the right systems of record to drive your systems of action.” In this episode of Revenue Engine Masters, I sat down with Cliff Simon, founder & CEO of Polaris and one of the most thoughtful operators in the RevOps ecosystem. We went deep on the big shift happening in go-to-market: AI is forcing companies to confront their foundations—metadata, systems of record, systems of action—because bad data now leads to sh*ttier outcomes, faster. Cliff breaks down why AI readiness is no longer a RevOps-only problem, but a company-wide mandate increasingly driven by CIOs, CFOs, and cross-functional leaders trying to decide what to build, what to buy, and how to ensure their teams are actually enabled.We explored how Polaris is helping companies navigate this moment with two offerings—AI Readiness Audits and GTME-as-a-Service—and why the new generation of AI-native GTM operators needs both strategic oversight and architectural guardrails. He also shares how to build frictionless B2B buying experiences, the same way consumers buy: with credibility, simplicity, and trust.We closed by discussing speed vs. quality in building AI systems, the importance of doing work manually before automating it, and how to think about the emerging role of autonomous workflows. A super relevant conversation for anyone building GTM teams in 2025. ‍

    36 min
  2. 11/15/2025

    From Firefighting to Product Thinking: How Great Ops Teams Scale

    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.

    35 min

About

Welcome to Revenue Engine Masters by Scalestack. The podcast for GTM leaders tired of duct tape, chaos, and the Manual Work Tax. Every month, we sit down with the boldest voices in Revenue, RevOps, Sales, and Marketing Ops to tackle the root problem holding teams back. No more firefighting. No more spreadsheet gymnastics. Just honest conversations about scaling GTM with systems that actually support strategy. Welcome to the movement to make revenue autonomous. This is Revenue Engine Masters. Let’s get to work.