#120 How to become the AI Orchestrator of the GTM org – with Mollie Bodensteiner, VP RevOps at ZoomInfo
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#120 How to become the AI Orchestrator of the GTM org – with Mollie Bodensteiner, VP RevOps at ZoomInfo
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Mollie Bodensteiner, VP RevOps at ZoomInfo and returning guest, joins Janis to break down how AI is reshaping RevOps roles, team structures, and career paths. RevOps used to report on the business — now it builds and governs the systems that run it. Mollie shares what the go-to-market engineer role actually is, why career ladders are turning into portfolios, and why she stopped doing case studies in hiring.
We cover:
From reactive help desk to building and governing the systems that run the business
AI sprawl: why "give everyone access" now creates a governance problem
What a go-to-market engineer really is — beyond the LinkedIn hype
Agent ops: monitoring drift, QA, and cost like DevOps monitors uptime
Why it's a skill set, not a new job title
The analyst shift from firefighting to proactive intelligence
Who should own AI: centralized, federated, or center of excellence
Flatter orgs, wider spans, and horizontal layers replacing functional silos
Career paths becoming portfolios instead of ladders
Why Mollie killed case studies in her hiring process
Skill vs. will — advice for early-career operators
Mollie Bodensteiner on LinkedIn: https://www.linkedin.com/in/molliebodensteiner/ ZoomInfo: https://www.zoominfo.com Janis Zech on LinkedIn: https://www.linkedin.com/in/janiszech/ Philipp Stelzer on LinkedIn: https://www.linkedin.com/in/philippstelzer/ WeFlow: https://www.weflow.ai/ Join the RevOps Chat Community: https://www.weflow.ai/community Subscribe to the RevOps Letter: https://www.weflow.ai/revops-letter
Book recommendation: The Accountable Organization by John Marchica
Chapters:
(00:00) Intro & welcome back to Mollie
(03:26) How RevOps jobs have changed
(05:30) AI sprawl and the governance problem
(08:43) The go-to-market engineer role
(12:06) Agent ops and the digital workforce
(16:25) What happens to the analyst
(20:30) Who owns AI in the org?
(24:19) Flatter teams, wider spans
(28:20) Making RevOps impact measurable
(31:43) Why case studies are dead in hiring
(34:11) Skill vs. will: advice for operators
(37:07) Book recommendation & close