Senior Product Manager
Senior Product Manager responsible for Snowflake's Interactive Analytics product, setting the standard for fast analytical queries. Requires 4+ years PM experience on database/analytics products, deep technical fluency in database engines, and hands-on experience with high-concurrency low-latency systems.
About the job
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.
Skills
Product Management, Database Engines, Analytics Products, High-Concurrency Systems, Low-Latency Data Products, Bi Analytics, Streaming Analytics, ClickHouse, Apache Pinot, Materialize, Rockset, Singlestore, Oltp, AI Tools
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