Senior Product Manager - Interactive Analytics

Snowflake is building the world's best AI data platform - and Interactive Analytics is one of our foundational bets in that vision. We aim to deliver the fastest analytical query engine in the world and make it delightfully easy to use, seamlessly integrated into the Snowflake data platform.

Designed for high-concurrency, low-latency query workloads, Interactive Analytics powers the AI agents, BI dashboards, and real-time data applications that the world's most demanding data organizations depend on.

As the Product Manager for Interactive Analytics, you will set the bar for what "fast" means for Snowflake and for the data analytics industry - and then you'll build it. This role sits at the intersection of deep database technology and high-stakes product strategy, in a market where the customers are vocal, competition is real, and the opportunity is enormous.

- 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

- 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 - the path isn't defined, and that's what makes it interesting to you

- Ability and bias to use AI tools to accelerate your work - from prototyping and analysis to spec writing and customer research