Nathaniel Rounds
Nathaniel Rounds
Senior Product Manager
Nathaniel Rounds is a Senior Product Manager at Braze, focusing on applications of reinforcement learning in marketing. Previously he led Product Marketing for the BrazeAI portfolio. He joined Braze from OfferFit, where he served as the first and only Product Marketer from Series A to exit. Prior to that he spent ten years working in Product and Curriculum roles developing SaaS solutions for students and teachers. He holds a PhD in mathematics from Stony Brook University.
Monday, September 28, 2026
AI Menagerie: Matching the Right AI to the Right Marketing Job
1:00 PM - 2:30 PM

AI is reshaping how marketers work, but separating meaningful opportunities from the noise remains difficult. In this hands-on masterclass, George Khachatryan will explore the AI trends and tools that matter most to marketers today, guide attendees through applying AI to a real marketing workflow, and help them build a practical plan they can take back to their teams.

Monday, September 28, 2026
AI Menagerie: Matching the Right AI to the Right Marketing Job
10:00 AM - 11:30 AM

AI is reshaping how marketers work, but separating meaningful opportunities from the noise remains difficult. In this hands-on masterclass, George Khachatryan will explore the AI trends and tools that matter most to marketers today, guide attendees through applying AI to a real marketing workflow, and help them build a practical plan they can take back to their teams.

Tuesday, September 29, 2026
Braze@Braze: How the Braze Lifecycle Team Tripled Webinar Registrations
2:00 PM - 2:40 PM

Discover how the Braze Customer Lifecycle Marketing team used BrazeAI Decisioning Studio™ Go to drive a record-breaking month of registrations and email engagement in July. Following a short re-introduction to Decisioning Studio Go, we will walk through the before, during, and after of the campaign: the six elements given to AI decisioning, the 53,475 variant combinations tested across 60,000 contacts, and the 272% lift in click rate and 235% lift in registration rate that followed. Walk away with a practical framework for choosing which elements to test, scoping agent-generated copy, and setting expectations for your own Decisioning Studio Go campaign.