Product Manager

Join the Financial Data Team at Alpha-Sense as a Product Manager specializing in Taxonomy. Successful candidates will bring a strong analytical mindset, expertise in data governance and taxonomy, and the ability to drive alignment across technical and business stakeholders. What You’ll Do: - Drive ownership - Own and evolve the existing structured financial data taxonomy library at AlphaSense, inclusive of all client-facing labels, metric definitions and dataset classifications, ensuring both backwards compatibility and future proofing. - Set the standard - Understand existing naming standards and define how label conventions and governance principles apply across a growing range of data types, ensuring clients can intuitively discover, understand, and leverage the data Alpha-Sense has to offer. - Collaborate cross-functionally with engineering, data, product, sales, and client-facing teams to align stakeholders on taxonomy decisions and translate conceptual frameworks into scalable, production-ready systems - Serve as the internal subject matter expert on data semantics, and develop and maintain official internal and external documentation ensuring taxonomy standards are clearly articulated and accessible to all stakeholders - Proactively identify gaps and inconsistencies as new datasets are onboarded, and drive resolution in a structured and scalable way - Design and maintain taxonomy and data structures with AI and LLM compatibility as a core consideration, ensuring labels, definitions, and conventions support model training, inference, and broader AI-driven automation - Lay the foundation for a future taxonomy practice — building repeatable frameworks and positioning this function for team growth over time Who You Are : - Bachelor's degree in a highly analytical field such as Engineering, Computer Science, Business, or a related discipline - 5+ years of experience working with data structures, taxonomy, or data governance, with at least 2 years in a product management or closely adjacent cross-functional role - A genuine interest in financial data and capital markets, with an understanding of how investors and financial professionals consume, interpret, and act on data - A proven analytical mindset, with the ability to translate complex, ambiguous data challenges into structured frameworks and scalable solutions - Hands-on experience leveraging AI and LLM tools as an internal practitioner and a genuine curiosity for how consumers of financial data are integrating AI into their workflows - Strong organizational skills and attention to detail, with a demonstrated ability to manage multiple workstreams and competing priorities independently - Proficiency in data management tools such as SQL and Python, with a willingness to expand your toolkit as the role evolves