Staff Product Manager - Developer Experience and Test Pyramid

Snowflake Snowflake · Data AI · WA-Bellevue, United States · Product Management

Staff Product Manager to lead the mission to build an industry-leading, AI-forward developer experience for the engineers at Snowflake. This role will focus on redefining how the Snowflake product is developed and tested, shaping an AI-forward and opinionated developer experience and a modern, intelligent test pyramid that balances speed, reliability, and coverage. The goal is to ensure internal tools enable engineers to move with maximum velocity while maintaining world-class quality.

What you'd actually do

  1. Drive AI-Native Validation: Lead the transformation of our testing suites by integrating AI to generate test cases, identify regression risks, and optimize test selection, significantly accelerating the time-to-impact.
  2. Redefine Developer Workflow: Build an AI-forward developer experience that removes friction from the "inner loop" of development, ensuring engineers can validate and iterate on their ideas in seconds, not hours.
  3. Architect the Test Pyramid: Define the vision and roadmap for how Snowflake validates the product. You will shape the strategy across unit, integration, and end-to-end testing, moving the organization toward an optimized, AI-assisted validation model.
  4. Manage a Strategic Portfolio: Oversee a diverse set of developer-facing capabilities including development environments, local testing tools, and programmatic interfaces (APIs/SDKs) that engineers rely on daily.
  5. Partner Across Engineering: Work closely with our CI/CD PM and engineering leadership to ensure a seamless handoff between the developer's local environment and our global deployment pipelines.

Skills

Required

  • 8+ years of Product Management experience
  • proven track record of shipping developer-facing tools or technical infrastructure
  • Deep Technical Fluency
  • strong background in the Software Development Lifecycle (SDLC)
  • specific expertise in testing strategies and automated validation at scale
  • Platform-First Mindset
  • experience building platform products that serve other engineers
  • AI-Native Thinking
  • innate curiosity and proven ability to treat AI as a collaborator to solve complex engineering bottlenecks
  • Strategic Execution
  • ability to take broad, complex problem spaces and decompose them into actionable, multi-quarter roadmaps
  • Data-Driven Decision Making
  • highly analytical mindset
  • knowing how to use metrics to prioritize the backlog effectively

Nice to have

  • Previous hand-on experience as a software engineer
  • Experience building or managing internal developer platforms in a high-growth cloud environment
  • Familiarity with modern data stack architectures or AI/ML pipelines

What the JD emphasized

  • shipping developer-facing tools or technical infrastructure
  • testing strategies
  • automated validation at scale
  • AI/ML pipelines

Other signals

  • AI-Native Validation
  • AI-forward developer experience
  • AI-assisted validation model
  • AI/ML pipelines