Note: The job is a remote job and is open to candidates in USA. AlphaSense is a leading market intelligence platform relied upon by sophisticated companies to remove uncertainty from decision-making. They are seeking a Product Manager specializing in Taxonomy to own and evolve their financial data taxonomy library, ensuring alignment across various teams and driving the development of scalable solutions.
Responsibilities
- 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
Skills
- 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
Benefits
- Growth opportunities in a well-funded, high-growth company that’s aiming to be the new fundamental dataset of record .
- Autonomy to create your own schedule and do your best work.
- We recognize the advantages of working flexibly. This team primarily works remotely and also has an office located in New York City for optional in-office days.
- We’re committed to ongoing personal and professional growth and we back it up with a learning stipend, lunch and learns, and guest speakers
- We support your development by providing ongoing feedback, career development, and weekly 1-on-1s
- We’ll set you up to work remotely and effectively with all the equipment you need
- You may also be offered a performance-based bonus, equity, and a generous benefits program.
Company Overview
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