Currently tracking 55 active AI roles, up 75% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $156k–$380k (avg $250k).
What leadership said about AI on earnings calls (above the line, stacked by event type) vs how many AI roles the company actually posted (below the line). Each side scales to its own peak — read shape, not absolute height.
Trajectory events (left half, cyan) vs active AI roles posted (right half, slate), bucketed by stage. Darker cell = more activity for this company.
CEO Sridhar Ramaswamy outlines the company's strategic shift toward becoming an AI-native application platform.
“We are rapidly transforming from the platform for governing and analyzing data into the platform where customers build and run AI-native applications and workflows.”— Sridhar Ramaswamy
CEO Sridhar Ramaswamy outlines the future of human-assisted agentic AI solutions.
“I think you're going to see situations in which every complicated task that humans are involved in is going to have agentic solutions that are human-assisted, where the model using tools does some of the work, and then the humans guide the model to be able to be a lot more productive.”— Sridhar Ramaswamy
CEO Sridhar Ramaswamy discusses the AI-readiness of data within Snowflake for conjunctive and agentic layers.
“Data that is in Snowflake is increasingly AI-ready, both for access by conjunctive layers like, you know, Cortex Analyst or Cortex Search, but also by agentic layers like Snowflake Intelligence, where you can both ask nontrivial questions.”— Sridhar Ramaswamy
CEO vision of Snowflake as the premier data and AI company.
“Right now, Snowflake is the most consequential data and AI company on the planet. As I said in our third quarter call, our North Star is to deliver the world's best end-to-end data platform powered by AI”— Sridhar Ramaswamy
Sridhar Ramaswamy on the role of AI agents in the enterprise.
“we feel confident that you can think of agents as essentially the 21st century version of CRON jobs that we all used to run.”— Sridhar Ramaswamy
Sridhar Ramaswamy on AI's impact on data consumption and business intelligence.
“Not only is AI going to make structured and unstructured data more interchangeable, it is also going to heavily influence areas like business intelligence.”— Sridhar Ramaswamy
CEO Sridhar Ramaswamy outlines the company's AI strategy to make the platform easier to use for data applications.
“We are making Snowflake the best cloud for computation, collaboration and applications on all data, and we are leveraging the part of AI to make all of these easier to create, maintain and use.”— Sridhar Ramaswamy
CEO Sridhar Ramaswamy stated that AI will turbocharge Snowflake's capabilities and growth across data, collaboration, and applications.
“What is exciting about AI is that it can turbocharge our capabilities and growth on all three layers.”— Sridhar Ramaswamy