Ep. 15: Scaling Revenue with Predictable Forecasting ft. Jonas Samsioe cover art

Ep. 15: Scaling Revenue with Predictable Forecasting ft. Jonas Samsioe

Ep. 15: Scaling Revenue with Predictable Forecasting ft. Jonas Samsioe

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The Revenue Architects Podcast is the show for revenue leaders, RevOps professionals, and go-to-market teams navigating the evolving landscape of sales operations and revenue management. Each episode features practitioners who have built systems, led transformations, and solved real-world revenue challenges at scale.

In this episode, hosts Steve and Jay sit down with Jonas Samsioe, SVP-level revenue and go-to-market operations expert, to explore what it takes to scale a revenue engine from $180 million to $1.6 billion in ARR. Jonas shares hard-won lessons from building sales factories, navigating hypergrowth, and managing a 1,300-person go-to-market organization.

Drawing from two decades of experience spanning consulting, startup founding, sales, American Express, Dun & Bradstreet, and hyper-growth SaaS, Jonas offers a grounded perspective on bottoms-up forecasting, tech stack discipline, and the critical distinction between sales ops (helping you today) and revenue ops (helping you tomorrow).

In this episode, you'll learn:

  • How to build a bottoms-up forecasting process that actually works in a high-velocity sales environment.
  • Why whales should be depreciated from the forecast in a sales factory model—and when to bring them back in.
  • How AI and conversational intelligence can supplement (not replace) human judgment in forecasting.
  • What happens when your quote-to-cash process turns a 20-second transaction into a 24-hour nightmare.
  • How to think about dividing responsibilities between sales ops, revenue ops, and deal desk as you scale.
  • Why you should pause before adding another tool to your tech stack—and what to ask first.
  • When to hire sales ops versus revenue ops, and why the order matters more than you think.


This conversation is essential listening for anyone scaling a revenue organization, managing hypergrowth, or trying to build predictable systems in an unpredictable environment.


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