Product Manager (Interactive Analytics)

TL;DR

Product Manager (Interactive Analytics): Building the fastest analytical query engine in the world to power AI agents and BI dashboards with an accent on low-latency and high-concurrency workloads. Focus on developing a differentiated product roadmap and translating complex technical requirements into strategic product decisions.

Location: Hybrid (Menlo Park, CA or Bellevue, WA)

Salary: $200,000 – $287,500

Company

Snowflake is building the world's best AI data platform to power the era of the agentic enterprise.

What you will do

• Build and champion a product roadmap for a differentiated Interactive Analytics experience to win customers in competitive segments.
• Partner closely with customers to understand technical workloads and solve their most complex problems.
• Shape Snowflake's positioning and go-to-market strategy in collaboration with sales, marketing, and developer relations.
• Translate customer pain and competitive intelligence into technically sound product decisions with engineering teams.
• Define how Interactive Analytics serves as the native low-latency data tier for the next generation of AI agents.
• Leverage AI tools daily for prototyping, specification, and analysis to accelerate product development.

Requirements

• 4+ years of product management experience focusing on database and/or analytics products.
• Deep technical fluency in database engines to engage with principal engineers and DBAs on root cause analysis.
• Hands-on experience with high-concurrency, low-latency data products (e.g., ClickHouse, Apache Pinot, Materialize, Rockset, SingleStore).
• Proven track record of maintaining a high bar for technical product excellence.
• Demonstrated ability to influence cross-functional partners and senior executives without direct authority.
• Comfort operating in ambiguous, zero-to-one environments with a bias for action.

Culture & Benefits

• Opportunity to redefine the future of work within a fast-growing AI-native organization.
• Experimental mindset that encourages rapid testing of emerging capabilities.
• Low-ego, dynamic environment focused on innovation and impact.
• AI-centric workflow where AI is treated as a high-trust collaborator core to problem-solving.