Impact Summer Series: Mountain View

Smaller room. Sharper topics. More time for the conversation that actually moves the needle.

The best growth ideas don’t come from stages. They come from the side conversation afterward.

The Impact Summer Series is the off-summit version of Impact: smaller rooms, sharper topics, and a longer table. At each event, we bring together a hand-picked group of GTM leaders to work through one question that actually matters this quarter, followed by food, drink, and the kind of conversation that doesn’t happen on Zoom.

This session will feature Hiten Shah, serial founder of KISSmetrics, Crazy Egg, and Nira (acquired by Dropbox), and advisor to growth-stage companies on product strategy and operating model design. Hiten will work through one of the most important questions facing GTM leaders right now: how do you manage AI as a coworker, not just a tool?

It’s 40% content. 60% the people in the room. 100% built for the operators carrying a number this year.

Agenda

• Welcome + Introductions
• State of the Market: Jacco van der Kooij provides a candid data-backed read on what is happening in B2B GTM Right Now 
• Peer Exchange: Biggest GTM Challenges Right Now
• Managing AI as a Co-worker: A conversation with Hiten Shah
• Networking Happy Hour

You’ll walk away with:

• Practical models that you can apply to your GTM motion
• Perspective from peers who are operating at the same stage and wrestling with the same decisions
• A network of Bay Area GTM leaders you can call on long after the summer ends
• The confidence to move from isolated improvements to a compounding growth engine

Who Should Attend?

Ideal for Revenue & GTM Leaders at Recurring Revenue Businesses:

• CEOs & Founders pushing system-level GTM transformation rather than tactical tweaks

• CROs & Revenue Leaders focused on predictable, scalable growth and execution alignment

• CMOs & Marketing Leaders seeking cross-functional engagement that accelerates pipeline and conversion

• RevOps & GTM Operations Leaders responsible for measurement, process standardization, and data-driven execution