AI for Sales Leaders: Snowflake Expedition 2026 Recap

Sales organizations often struggle to move AI pilots beyond testing into daily use, prompting leaders at Snowflake, Canva, and OpenAI to share strategies for embedding AI into revenue workflows. Their approach emphasizes reorganizing sales teams, defining customer data consistently, and adapting to evolving buyer expectations rather than focusing solely on AI models. The sessions highlighted practical steps for revenue leaders to prioritize problems, assign ownership, and redesign seller workflows to sustain AI adoption.

Snowflake Chief Revenue Officer Jon Beaulier and Chief Marketing Officer Denise Persson outlined how shared business data and clear responsibilities enable AI adoption across revenue teams. They demonstrated Snowflake CoWork’s live business insights and shared lessons from Snowflake’s internal adoption process, including adoption metrics and cross-functional collaboration between sales and marketing.

Sait Izmit, Director of Product Management at Snowflake, identified fragmented data, tool sprawl, and unclear ownership as key barriers to AI scaling. His playbook advises selecting high-impact business problems, strengthening data foundations, governing user experience, and leading organizational change to ensure AI initiatives succeed beyond pilot stages.

Snowflake’s GTM assistant, Raven, was built to provide account teams with reliable sales insights, enabling more customer-facing time. Sait Izmit detailed how Raven delivers strategic analysis, handles routine tasks, and earned seller trust through iterative improvements focused on answer quality, expanding its capabilities post-launch based on user feedback.