Product Manager

About AlphaSense

The world's most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients' own research content.

AlphaSense is the leading market intelligence platform for key decision makers. We power some of the world's most well-respected institutional investors, corporations, and consultancies through the largest and most comprehensive database of primary and market information. Our products and services enable clients to discover unmatched insights and answers to the most challenging questions they face to help them make better informed decisions.

Join the Financial Data Team

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 AlphaSense 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 related role.