Senior Product Manager - Interactive Analytics

About the role

As a Senior Product Manager for Interactive Analytics at Snowflake, you will lead the development of a differentiated product that sets new standards for speed and performance in the data analytics industry. Your responsibilities include setting the product roadmap, working closely with customers to understand and solve their technical challenges, shaping Snowflake's positioning and go-to-market strategies, and collaborating with a large engineering team to define and implement innovative features.

Responsibilities

• Build and champion a product roadmap for a differentiated Interactive Analytics experience that wins customers and workloads in a highly competitive segment 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—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.

Qualifications

• BS/MS in Computer Science, Engineering, or related field.
• Experience with SQL and NoSQL databases.
• Experience with data warehousing and analytics platforms.
• Experience with machine learning and AI tools.

Skills

• Excellent communication and collaboration skills.
• Strong problem-solving and analytical skills.
• Ability to work independently and as part of a team.
• Experience with agile methodologies and product development processes.

Benefits

• Medical, dental, vision, life, and disability insurance.
• 401(k) retirement plan.
• Flexible spending and health savings account.
• At least 12 paid holidays.
• Paid time off.
• Parental leave.
• Employee assistance program.
• Other company benefits.