As artificial intelligence moves from pilots to large-scale use inside companies, Snowflake is keeping its core product work tightly tied to global engineering teams, with timing and coordination challenges shaping how much it can expand its R&D presence in markets such as India.
“There is no firm plan for a full R&D setup in India. The issue is not talent. The issue is timing,” Benoît Dageville, cofounder of AI data cloud company Snowflake, told ET in an interview at the company’s annual summit in San Francisco. He added that core product development requires tightly integrated teams that work in constant coordination, making distributed ownership more complex.
