
Faster Decisions, Faster Growth: What AI Changes for Product, Data & Growth Leaders
π€ Join Us for an Exclusive Dinner!
Get ready for an engaging curated dinner with a select group of Data and Product leaders after the Snowflake conference! Nestled just a stroll away from the main event, this intimate gathering promises enriching discussions and a thoughtfully designed dining experience.
π Featured Speakers:
- Julie Zhuo: Founder of Sundial, former Vice President of Product Design at Facebook, and author of the Wall Street Journal bestseller The Making of a Manager.
- Jon Noronha: Founder and Head of Product at Gamma, previously VP of Product at Optimizely, specializing in integrating rapid experimentation into product development.
- Karandeep Anand: CEO of Character.AI and former President and Chief Product Officer at Brex, with extensive experience at both Meta and Microsoft.
π‘ Discussion Themes:
- The future of decision-making
- How AI reshapes workflows for data
- Building trust in AI-driven insights
- Transitioning from reactive insights to proactive decision-making
- Identifying when data is technically correct but strategically irrelevant
π₯ Who Should Attend:
This dinner is tailored for:
- Data Science / Analytics Leaders
- Head of Data / Chief Data Officer
- Head of Product / Chief Product Officer
- VP / Head of Growth
- Senior / Staff Product Managers
If you're a leader in Product, Data, or Growth facing challenges with decision-making, metrics alignment, or waiting for analyst insights, weβd love for you to join the conversation!
ποΈ Request an Invitation:
Request your spot here! Spaces are limited! The event is free, but we'll require an application to attend. After registering, our team will follow up via email to confirm your attendance.
Don't miss out on this exceptional opportunity to connect, engage, and learn over a delicious meal. We look forward to welcoming you!
NOTE: We cannot guarantee the accuracy of the information we provide about this event. Visit the event's website to verify details such as date, opening hours, prices and location.



