Google Cloud’s VP of Growth on Building an AI-Native Marketing Team: 8 Takeaways from SaaStr AI 2026

Sarah Kennedy Ellis, VP of Global Demand & Growth at Google Cloud, shared her insights at SaaStr AI 2026 on evolving marketing with AI. Having led marketing at Marketo and Adobe's enterprise software division, she brings a wealth of experience from previous platform shifts. Her core argument is that Google aims to be "Customer Zero" for AI in marketing, focusing on real-world application rather than just demos. This means daily operations powered by AI agents, with feedback loops to product teams for continuous improvement. Her advice applies to marketing teams of all sizes.

The primary hurdle to AI adoption within Google isn't model quality but workflow friction and the behavioral changes required to overcome it. Kennedy Ellis highlights that the biggest inhibitor to adoption is resistance to changing existing processes, not the quality of AI agents. Teams that actively engage in change management and training are the ones achieving significant productivity gains from AI. This suggests that founders struggling with AI tool adoption should look beyond the tools themselves and focus on team training and skill-building. Google addresses this by creating "AI Boost Bites," short 5-7 minute training videos designed to fit into busy schedules.

The Gemini in Chrome launch serves as a prime example of AI's transformative power in marketing. Google utilized AI for scaled asset production, reducing creation time by 70%—from weeks to days. More importantly, this acceleration led to a significant lift in conversion rates and an increase in both volume and quality, defying the typical trade-off where increased output diminishes quality. This success underscores the potential for AI to achieve personalized content at scale, a feat previously impossible. Kennedy Ellis emphasizes focusing AI efforts where high volume meets limited human judgment to ensure high-quality outcomes.

A compelling demonstration of AI's capability was the rapid overhaul of an opening video for Google Cloud Next. The team rebuilt the video in three weeks, leveraging AI agents built on the Gemini Enterprise platform for everything from concept sketching to motion adding and stitching. They even used a custom DeepMind model to up-res the video from 4K to 12K for a massive screen, a task deemed impossible just a year prior due to "upres" problems. This project, which previously would have required an agency and substantial budget, was executed internally using their own tools, showcasing the rapid advancements and democratization of high-end production through AI.

Kennedy Ellis now seeks candidates who can demonstrate what they have personally built, not just managed. She believes a resume will increasingly reflect the AI agents one has constructed, emphasizing curiosity and a proactive approach to building agent-led teams. She also posits that agents accelerate the convergence of sales and marketing by inherently focusing on outcomes, redefining marketing's role as a leader in technology that empowers sellers. Her ultimate reframe: view an AI agent not as a tool, but as a new hire needing context and training, remembering information faster and more consistently than a human.", body_ar=