STAFF PRODUCT MANAGER

The role

This person will lead products that make Finance, People, Legal, and other enterprise domains AI-Native. They will own the product problem from discovery through value realization by defining strategy and leading delivery.

What you will do

• Set product direction, vision, strategy, roadmap, and narrative.
• Partner directly with business leaders, operators, and end users.
• Build products using user-centered discovery and first-principles thinking.
• Redesign workflows end to end.
• Prototype rapidly using AI tooling and modern product-development techniques.
• Lead AI-native product development including production-grade agents and intelligent workflows.
• Lead the product-engineering partnership on architecture and delivery trade-offs.
• Create alignment through storytelling and clear communication.
• Influence without authority across business and technology organizations.
• Own adoption and outcomes by tracking usage and business value realized.

Required qualifications

• Track record of building and scaling high-quality software products.
• Strong product judgment.
• Experience partnering directly with business teams and users.
• Excellent communication and storytelling skills.
• Hands-on experience using AI tools to rapidly prototype, test, and refine software solutions.
• Technical fluency in modern AI and software product development.
• Experience taking products from discovery and zero-to-one development through launch, adoption, iteration, and scale.
• Ability to thrive in ambiguity, create clarity, move quickly, and make hard decisions.
• Ability to influence across functions and organizational boundaries without formal authority.
• Typically 8+ years of product management experience, or equivalent experience building and scaling software products.

Nice to have

• Experience building products for internal enterprise teams or complex business domains.
• Experience in Finance, People, Legal, Go-to-Market, or other operational functions.
• Experience launching AI-native or customer-facing generative AI products.
• Familiarity with Snowflake and the Data Cloud ecosystem.
• Experience taking a product or capability from internal customer zero to a repeatable pattern that can help customers.
• A degree in Computer Science, Engineering, or a related field

About the company

Snowflake is powering the era of the agentic enterprise. The Enterprise Apps & Agentic Systems team builds first-of-a-kind solutions for their own teams to prove value before bringing learnings to customers.