Unpacking AI's Impact on How We Build GTM Systems

Rethinking GTM Architecture

GTM Architecture is being reinvented - and it will be AI-first.

In our deep-dive into the future of Go-To-Market Systems, the Revenue Operations Leaders Keith Jones and Stefan Mersch will drill down into current tech stack trends, break down how you can make build vs. buy decisions, and what foundations you should establish next to stay agile.

September 11, 2025
3 - 4pm (CEST)
remote

Our speakers

Our speakers have build high-performing revenue engines for some of the most influential B2B tech companies worldwide. In this session, they’ll share exclusive insights on how AI is reshaping go-to-market systems — and what you need to do to future-proof your revenue engine.

Keith Jones
Head of GTM Systems at OpenAI

Keith has been building GTM-Systems for various companies for over a decade. He is currently in charge of building the GTM Architecture at OpenAI and was one of the first RevOps Leaders to join. Priorly, he was the Sr. Director of Revenue Technologies at Gartner, guiding global enterprises to buy their ideal revenue tech stack. He has been a guest in various podcast shows in the US like Humans of Martech and Operations with Sean Lane.

Stefan Mersch
Senior Revenue Operations Consultant, YOYABA

For more than 5 years, Stefan has been helping various SaaS companies building their revenue & GTM engines. He has built the RevOps team from scratch at Sastrify backed by (FirstMark, Endeit & HV) and helped scaling the org from Seed to post Series B. He has been a podcast guest on leading European SaaS and RevOps podcasts like ARRtist and RevOps Labs. As a Sr. revenue operations consultant Stefan is now working with scaleups like Lucanet, Usercentrics & ProofServe to optimize their revenue engines.

Topics our Experts will tackle

First steps towards an AI-first GTM Architecture

Learn how you can get started putting AI to the heart of your GTM architecture, identify use-cases and how they are applied in real-life.

Buy versus build

What are tools you should still purchase best in breed versus which ones can you easily build yourself. How can you consolidate tool demand and identify what tools are really needed in your org. and which are nice to have.

Detailed GTM Tech Landscape Outlook

Will CRMs just act as systems of record showing the latest snapshots, while the real intelligence layer will live in AI agents?