Principal Product Manager, Enterprise Data & AI

Principal Product Manager, Enterprise Data & AI Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. Snowflake is about empowering enterprises to achieve their full potential with Data & AI. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology and careers to the next level. Snowflake is hiring an experienced Principal Product Manager, Enterprise Data & AI within the Data Analytics and AI org (DAA) to lead our "Customer Zero" strategy. Reporting to the Chief Data and Analytics Officer (CDAO), this role is at the heart of our mission to build the future of enterprise AI by driving the full product lifecycle internally before bringing these AI products to market. You will be the architect of how Snowflake uses its own agentic product strategy to transform every function. We are passionate about making Snowflake the best cloud for computation, collaboration, and applications on all enterprise data. We are now at a fundamental pivot point: transforming how the modern enterprise operates by leveraging the power of AI on their enterprise data everywhere. IN THIS ROLE YOU WILL: - Drive Internal AI Innovation: Own the roadmap and end-to-end lifecycle for foundational AI agentic capabilities and high-complexity use cases within the DAA. You will solve for the DAA's unique needs while simultaneously creating the scalable patterns, technical blueprints, and enablement strategies used by business functions across the enterprise. - Lead the Customer Zero Strategy: Establish Snowflake as the most advanced user of its own platform by collaborating with internal PMs and business functions to identify high-value workflows and transform them into a coherent ecosystem of scalable, AI-native systems. - Bridge Internal Innovation to Product Strategy: Drive engagement with the Product team by translating Snow-on-Snow breakthroughs and friction points from the DAA into clear requirements that accelerate Snowflake’s core platform and AI roadmap. - Partner with Forward Deployed Engineering (FDE) on Early Customer Adoption: Work closely with FDE teams to bring emerging capabilities to a select group of early enterprise customers. Help shape real-world use cases, capture product insights, and ensure learnings flow back into the Snowflake product ecosystem. - Operationalize Agentic Workflows: Move capabilities from experimentation to production systems, ensuring breakthroughs within the DAA become durable platforms and enablement patterns that increase productivity and inform future product offerings. - Collaborate Across Executive Leadership: Work in close partnership with the CDAO, Product, Engineering, and functional executive leadership to formulate a coherent internal AI strategy. You will act as a strategic bridge across functional teams and other stakeholders to ensure Customer Zero initiatives drive business user enablement and align with Snowflake’s broader product direction. OUR IDEAL CANDIDATE WILL HAVE: - AI & Technical Depth: Strong experience with AI tools and agentic workflows (e.g., RAG, prompt engineering, agent orchestration). You are a power user of frontier AI tools like Cursor and Claude Desktop to augment your own workflows and possess the technical literacy to evaluate various LLM patterns to ensure production-grade reliability on Snowflake. - Analytics & Data Domain Expertise: Deep familiarity with the modern data stack and the operations of high-scale Analytics organizations. You understand the workflows of data engineers and analysts, and you possess a strong grasp of data governance, security, and the technical challenges of managing data at scale. - Proven Execution: A track record of shipping ... (truncated, view full listing at source)