The role involves leading the evolution of an analytics stack from legacy systems to modern, Python-first, and agentic workflows. The individual will own the end-to-end product management charter, including execution frameworks, extensibility standards, and developer experiences. Responsibilities include defining the convergence of SQL, Python, and AI workflows into a unified developer experience. The position drives a critical workload migration program to transition customers toward interactive and agentic workflows. Additionally, the role oversees the strategy for notebook-based experiences and the integration of semantic knowledge layers across data platforms.

The role requires a minimum of 15 years of product management experience specifically within data, analytics, or platform products. Candidates must possess deep knowledge of SQL engines, MPP systems, and Python data ecosystems. Proven experience in building or scaling execution engines and extensibility frameworks is necessary. Furthermore, the candidate must demonstrate success in leading platform migrations and developing developer-focused platforms.