Product Manager - Developer and Test Pyramid

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 — who rapidly test 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.

The success and effectiveness of our engineering teams is the most critical factor in helping customers succeed with Snowflake. As a Staff Product Manager for Developer Experience, you will lead the mission to build an industry-leading, AI-forward developer experience for the engineers at Snowflake.

This is a high-impact, high-ownership role where you will act as the single-threaded owner (DRI) for our internal developer platform and product validation strategy. Your primary focus will be 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. You will ensure our internal tools enable engineers to move with maximum velocity while maintaining the world-class quality our customers expect.

• 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.
• 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.
• 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.
• 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.
• 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.
• Drive Technical Strategy: Collaborate with engineering and data science to make high-stakes decisions about architecture and protocol standards, ensuring our internal platform scales with Snowflake’s growth.

• 8+ years of Product Management experience
  , with a proven track record of shipping developer-facing tools or technical infrastructure.
• Deep Technical Fluency: A strong background in the Software Development Lifecycle (SDLC), with specific expertise in testing strategies and automated validation at scale.
• Platform-First Mindset: Experience building platform products that serve other engineers; you understand how to treat internal users as high-value customers.
• AI-Native Thinking: An innate curiosity and proven ability to treat AI as a collaborator to solve complex engineering bottlenecks.
• Strategic Execution: The ability to take broad, complex problem spaces—like "optimizing the test pyramid for a distributed system"—and decompose them into actionable, multi-quarter roadmaps.
• Data-Driven Decision Making: Highly analytical mindset, knowing how to use metrics (e.g., test flakiness, build duration, developer sentiment) to prioritize the backlog effectively.

• 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.

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