Who is the CEO of Snowflake?

Company name:
Snowflake
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Last updated:
October 3, 2025
Email:
s****************.com
Email accuracy:
High

Sridhar Ramaswamy

Sridhar Ramaswamy became CEO of Snowflake in February 2024, having previously served as the Senior Vice President of AI since joining the company in May 2023. He has been instrumental in spearheading Snowflake's AI strategy, including leading the launch of Snowflake Cortex, a managed service designed to simplify AI for users and drive business value. Ramaswamy's leadership is focused on accelerating innovation and helping customers leverage AI for significant business impact. Sridhar Ramaswamy was Senior Vice President of Advertising and Commerce at Google from 2013 to 2018, significantly growing Google's ad business from $1.5 billion to over $100 billion. In 2019, he co-founded Neeva, an AI-powered, ad-free search engine, which Snowflake acquired in 2023. He became CEO of Snowflake in February 2024, where he is driving the company's AI strategy, including the launch of Snowflake Cortex. His career demonstrates a consistent focus on innovation and leadership in data and AI.



Career Milestones

  • Became CEO of Snowflake in February 2024, after serving as Senior Vice President of AI since May 2023.
  • Led the launch of Snowflake Cortex, a managed service simplifying AI for users and driving business value.
  • Served as Senior Vice President of Advertising and Commerce at Google from 2013 to 2018, growing the ad business from $1.5 billion to over $100 billion.
  • Co-founded Neeva in 2019, an AI-powered, ad-free search engine acquired by Snowflake in 2023.
  • Recognized for leadership in innovation, data, and AI strategy across global technology organizations.



About Snowflake

Snowflake, founded in 2012, is a cloud-based data platform company. They help businesses across various industries like finance, healthcare, and retail to unify, store, and analyze data. Core features include scalable storage and compute, data sharing, and support for AI/ML workloads. Benefits include cost optimization, improved performance, and enhanced data-driven decision-making.

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