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Job description
Overview
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI‑native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high‑trust collaborator that is core to how you solve problems and accelerate your impact. We look for low‑ego individuals who thrive in dynamic and fast‑moving environments and move with an experimental mindset—rapidly testing emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn’t just to execute a function, but to help redefine the future of how work gets done.
Snowflake is building the world’s best AI data platform—Interactive Analytics is a foundational bet 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.
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.
Qualifications
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 workloads 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—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.
Benefits & Compensation
The role has a competitive benefits package that includes medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.
The following represents the expected range of compensation for this role:
Estimated base salary range: $200,000 - $287,500.
Eligible to participate in Snowflake’s bonus and equity plan.
Compensation determined based on permissive, non‑discriminatory factors such as skills, experience, and geographic location.
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Worksite address
bellevue, WA, 98009, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.