Podcast
May 16, 2025
Episode 41: Building a High-Performing RevOps Organization
Learn how top RevOps teams drive success through research-backed strategies. Natalie Furness reveals key insights on measuring impact.
Welcome back to another episode of the RevOpsAF podcast! Co-host Camela Thompson is joined by Yuri Yakubov, Head of Finance and Business Operations at TigerEye Labs. With a career that’s weaved through economic consulting, analytics, finance, and revenue operations, Yuri knows firsthand how tricky it is to get business teams and data teams speaking the same language.
In this episode, Camela and Yuri dive deep into the messy reality of data chaos across departments - and why even the best data sets fall flat without proper alignment. They explore how AI can (and can’t) solve these issues, the power of natural language interfaces, and why a cultural shift matters just as much as a technological one.
If you’ve ever sat in a boardroom staring at a funnel report that doesn’t match reality, you’re not alone. Yuri breaks down the recurring nightmare most RevOps professionals know all too well: data teams and go-to-market leaders fundamentally misunderstanding each other
"Data people aren’t good at speaking sales or marketing, and go-to-market teams aren’t good at speaking data." – Yuri Yakubov
Even when companies have shiny tools like Looker, Tableau, or Power BI, it doesn’t solve the real problem: the translation layer. Most BI tools are designed for generalists, not revenue teams who live and breathe SQLs, MQLs, and conversion funnels.
"You can report out of Salesforce, but even then, you run into issues because admins aren’t necessarily salespeople." – Yuri Yakubov
For a deeper dive into how to optimize sales execution with data-driven strategy & AI, check out our e-book here.
This is where AI shows promise - not because it replaces the humans, but because it acts as a bridge between messy business questions and structured data. Yuri explains how large language models (LLMs) like ChatGPT have opened up new possibilities for revenue teams to interact with their data using natural language.
"Where AI is really powerful is in iterating quickly. It won’t replace analysts - but it will give them superpowers." – Yuri Yakubov
Curious how AI is already changing the way RevOps leaders work? Check out this episode on the AI Impact on Revenue Operations.
If you’re an analyst worried AI will replace you, don’t be. Yuri makes a strong case that AI will actually enhance your role. Analysts will spend less time pulling basic numbers and more time solving complex strategic problems.
"You still need humans for strategic projects. AI just frees you up from the 7 a.m. panic emails from sales." – Yuri Yakubov
If you’re looking to level up your strategic skill set, our on-demand courses are a great place to start.
Of course, fast answers are only helpful if everyone agrees on what’s being measured. One of the biggest pitfalls in RevOps is when different teams define key metrics differently - leading to endless, frustrating debates.
TigerEye solves this by creating a Metrics Gallery, where core KPIs are standardized across the business.
"We let you define win rate, funnels, and metrics the way you want - so everyone’s pulling from the same definition." – Yuri Yakubov
Want to learn more about getting your reporting house in order? Check out our blog on Sales KPIs.
Even with perfect AI and perfect data, no tool can fix a broken culture. Camela and Yuri agree: if your leadership allows data to be weaponized against peers instead of used to drive solutions, the real issue isn’t technology - it’s trust.
"Business is easy. People are hard." – Yuri Yakubov
For more on how to drive better collaboration across GTM teams, check out this digital event recording.
AI won't replace RevOps professionals - it will augment them. The real promise of AI isn’t about eliminating humans; it’s about enabling faster, better, and more strategic decisions. But, as Yuri reminds us, technology is only half the battle. The rest comes down to leadership, collaboration, and building a culture that values transparency over politics.
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