Engineering & research profile

Sait Izmit

Snowflake · 2026

Sait Izmit develops enterprise AI products for go-to-market teams. As a principal product manager at Snowflake in 2026, he helped take its internal AI assistant from a pilot into a broader sales and marketing rollout.

He treats answer quality, limited initial scope and user trust as product requirements. His approach combines phased releases with sustained adoption work, then uses conversation logs to identify missing knowledge and new workflow needs. The job extends beyond the initial agent: teams must maintain evaluations, evolve the architecture and own the product over time.

1 conference talk

AI Engineer World's Fair 202620:39

Building GTM AI Agents: Lessons from Deploying to 6,000 Users — Sait Izmit, Snowflake

Sait Izmit describes lessons from deploying Snowflake’s internal go-to-market assistant to roughly 6,000 users. He reports more than a million questions answered and emphasizes answer quality, phased rollout, and sustained adoption work. He also describes expanding from data questions into workflow automation, adapting the architecture as requirements…

Sait Izmit

References

ai.engineer/talks/DrTdD-ttjCY-building-gtm-ai-agents-lessons-from-deploying ↗