RevOpsAF The Podcast

Most RevOps conversations eventually land on the same territory: AI, tech stacks, SQL, data quality. But what if the biggest skill gap in revenue operations has nothing to do with any of that?

In this episode, Jared Myatt (Senior Director of Revenue Operations at Integrate) joins co-host Matthew Volm for a conversation about the soft skills that actually separate good RevOps leaders from great ones — humility, self-awareness...

Most RevOps teams are building AI for everyone else — and leaving themselves at the back of their own queue. Shantanu Shekhar, VP of RevOps at Personio, shares why that needs to change and exactly how he's fixed it.

In this episode, Shantanu walks through three concrete AI use cases his team has deployed for RevOps itself: a "RevOps brain" for daily prioritization, an automated capacity planning roster that closes the gap be...

What does it actually take to build a high-performing revenue organization, and how does RevOps make it happen? Andrew Cooper, VP of Revenue Operations at Yooz, breaks it all down: operational excellence, front-line change management, where AI fits (and where it doesn't), and why Yooz went back to door-to-door sales.

This is Episode 100 of RevOpsAF, and it's one of the most grounded, practical conversations we've had on what RevOp...

Most RevOps teams are solving the wrong problems. Not because they lack skill — but because they're not listening to the music the exec team is playing.

Gabriel Rustice, VP of Revenue Operations at Seedtag, shares the career lessons he's picked up over 12+ years in sales and revenue operations — from customer care rep at FedEx Brazil to leading a RevOps team of 80+ people across multiple countries. This conversation is...

Building a world-class RevOps team with a lean budget isn't about doing more with less — it's about making the right trade-offs. Marisol Jordan breaks down how she thinks about hiring, the rise of the GTM engineer role, and why the fundamentals of business don't change even as AI rewrites everything else.

Marisol Jordan, Senior Director of Revenue Operations at Cobalt, joins RevOps Co-op CEO Matthew Volm to talk through the ...

Everybody has AI. Nobody owns it. That's the real problem facing RevOps teams right now — and it's creating a new version of a problem operators have seen before.

In this episode, Brandon Bussey, VP of Revenue Operations at Advantive, joins co-host Matthew Volm to dig into the messy reality of AI governance inside go-to-market teams. They cover the "agent graveyard" problem, why the fully decentralized AND fully centralized ...

Most AI projects aren't failing because the technology is broken. They're failing because nobody built the layer that makes the technology safe to use; and that's a RevOps problem. In this episode, Ed King (CEO & Founder of Openprise) joins Matt Volm to break down why AI agents can't touch core systems like your CRM or MAP, what the missing "control layer" looks like, and why the RevOps practitioners who thrive in an agent-driv...

Most revenue teams know their top 20% of reps are driving 80% of results. What they don't know is why, and without the why, every intervention is a guess.

In this episode, Roope Heinilä (Co-Founder & CEO of Optivian) joins co-host Camela Thompson to unpack the mid-funnel execution gap: why deals stall, why champion enablement fails, and why AI is finally able to solve problems that training, headcount, and tool investments cou...

Your AI initiative isn't underperforming because of the AI. It's underperforming because of what you built it on.

Spencer Hardey, VP of Business Operations at HG Insights, joins RevOpsAF co-host Matthew Volm to break down why the boring foundational work — ICP documentation, segmentation, clean data infrastructure, cross-functional alignment — is the actual prerequisite for AI that delivers results. Plus: how to commun...

Most companies have a board-level AI mandate. Almost none of them have an actual AI strategy. That gap is where RevOps practitioners are living right now, and it's one of the more exhausting places to be. In this episode, Taft Love (founder of Iceberg RevOps) and co-host Camela Thompson get into what's actually happening on the ground: vague executive mandates, the build-vs-buy trap, why data quality matters more with AI (not less)...

Your AI agent says revenue is on track. Your CRO is about to find out you're missing the number by 21%.

Sound familiar?

In this episode, Guillaume Jacquet (CEO & Co-Founder of Vasco) joins Matt Volm to break down why AI agents fail on revenue data, and why the fix belongs to RevOps. The problem isn't hallucination. It's grounding. And there's a four-part framework to solve it.

Guillaume walks through real examples of AI-gene...

What if your next RevOps hire isn't human? Zach West of PatchOps is building AI agents that function like senior consultants, and the playbook applies to any in-house RevOps team.

In this episode, Zach breaks down why domain expertise is still the differentiator in an AI-powered world, how to build a knowledge base that turns a generic LLM into a senior operator, and where resource-strapped RevOps teams should start today. Plus: t...

What separates a senior RevOps leader from a technically skilled order-taker? It's not the dashboards. It's not the systems. It's the ability to say no strategically, run change management at scale, and resist becoming a high-functioning service desk.

In this episode of RevOpsAF, James Jackson — VP of RevOps at Snowflake, DocuSign, and Canva — shares two vivid stories: a full comp plan overhaul across a 2,700-person sa...

What if RevOps stopped thinking of itself as a support function and started operating like a platform product team? That's the core argument Amani Phipps, Senior Revenue Architect at Bonusly, makes in this episode. And he backs it up with real AI systems his team has built: a Gong-to-HubSpot integration that auto-updates deal properties, a deal desk bot that cut tickets by 60%, and a multi-agent analytics system called Signal Forge...

Everyone's calling their product an "AI agent." Most of them are wrong — and the difference matters a lot for how you build your RevOps tech stack.

In this episode, Emir Atli (Co-founder & CRO of HockeyStack) joins Matt Volm to define what a true revenue agent actually is, why the data foundation most teams have won't support real AI deployment, and what this all means for the future of RevOps as a function.

Emir walks ...

Most teams think their campaign data is good enough — until AI starts making stuff up. Drew Smith of Attributa breaks down exactly what campaign data needs to capture, why your data dictionary is now your #1 AI prerequisite, and which system decisions are quietly killing your attribution.

If you're in marketing ops, RevOps, or anywhere near campaign measurement, this one's essential viewing. Drew covers the three non-negotiab...

Is RevOps "adapt or die" in the age of AI — or is that the wrong question entirely? Taimoor Tariq, Founder of GTM Base, shares what 12 years in RevOps has taught him about staying relevant when everything is changing fast.

Spoiler: it's not about chasing the hottest tools.

In this episode, Taimoor breaks down why Claude Code has become his team's operating system, how to safely experiment with AI without wrecking your produ...

Ever been told a CRM fix will "only take five minutes"? Yeah. We need to talk. 🔥

In Episode 85 of the RevOpsAF Podcast, co-host Camela Thompson (Head of Marketing at RevOps Co-op) is joined by her husband and fellow RevOps veteran Lance Thompson (Technical Sales Operations at SeekOut) for an unfiltered rant session covering the most ridiculous (but painfully relatable) situations every RevOps professional has lived through.

From...

Your AI strategy is only as good as the data underneath it. If your CRM can't tell Vodafone Spain from Vodafone Italy, no amount of orchestration will save you.

In this episode, Anders Krohn (CEO & Co-Founder of Kernel) joins Matthew Volm to break down the three-layer data enrichment stack, why most CRM hygiene initiatives treat symptoms instead of root causes, and what it actually takes to build an AI-ready data foundation in...