AI Use Cases for RevOps

I'm a really big believer in the idea of a unified RevOps function supporting all the go-to-market teams.

But I'll be honest, sometimes it's a little discouraging when I look at how RevOps is done in practice, because outside of a few examples, I usually see essentially a sales ops function with a new name.

So I wanted to find people who are actually leading a unified RevOps team in the real world and to understand how they're doing it and how it's working out for them.

Today's guest is leading a very mature RevOps function at Electric and has a ton of practical insight to share.

Thanks to Our Sponsor

Many thanks to the sponsor of this episode - Knak.

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About Today's Guest

Julia Kim is VP of Revenue Operations for Electric and an Adjunct Instructor at Columbia University. She has over 10 years experience as an operations executive and has launched award-winning consumer and SaaS products mentioned in the Wall Street Journal, Forbes, Forrester, and TechCrunch.

Before Electric, she led GTM operations for 4 profitable acquisitions. In addition to her RevOps experience, she has a technical background with a recent focus in artificial intelligence and predictive data modelling.

https://www.linkedin.com/in/juliajuleskim/

Key Topics

• [00:00] - Introduction
• [01:50] - Definition of Revenue Operations
• [03:40] - RevOps at different stages of maturity
• [09:09] - Deep dive on Julia’s team structure
• [14:00] - Collaboration within the RevOps team
• [21:52] - Addressing concerns about unifying the ops functions
• [28:07] - Identifying biggest opportunities for impact
• [37:19] - Relationship with data team
• [40:11] - Change management and enablement
• [47:37] - RevOps and AI
• [55:11] - What’s a current challenge?

Thanks to Our Sponsor

Big thanks goes out UserGems for sponsoring today’s episode. 

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