Senior Product Manager

Responsibilities

• Build and champion a product roadmap for a differentiated Interactive Analytics experience that wins customers and workloads in one of the most competitive segments of the data analytics industry.
• Partner closely with customers to make them successful — understanding their workloads at a technical level, solving their hardest problems, and turning them into vocal advocates.
• Shape Snowflake's positioning and go-to-market — collaborating with sales, marketing, and developer relations to drive awareness, adoption, and revenue growth.
• Partner with a large engineering team to translate customer pain and competitive intelligence into technically sound, compelling product decisions.
• Define how Snowflake Interactive Analytics powers the emerging world of AI agents and agentic workloads, positioning it as the native low-latency data tier for the next generation of AI applications.
• Use AI tools daily to prototype, spec, and analyze — moving at a pace that gives Snowflake a compounding advantage.

Requirements

• 4+ years of product management experience on database and/or analytics products.
• Deep technical fluency in database engines — enough to sit with a principal engineer or a demanding customer DBA, understand their workload in detail, identify root causes, and propose meaningful solutions.
• Hands-on experience with high-concurrency low-latency data products — ideally in BI or streaming analytics (ClickHouse, Apache Pinot, Materialize, Rockset, SingleStore, or similar); OLTP experience is also valued.
• Strong product instincts and a proven track record of holding a high bar on technical products.
• Demonstrated ability to influence without authority — you can make the case for bold product changes to skeptical principal engineers, cross-functional partners, and senior executives.
• Comfort with ambiguity and zero-to-one conditions.
• Ability and bias to use AI tools to accelerate your work — from prototyping and analysis to spec writing and customer research.