AlphaSense
Product Manager II - Taxonomy, Financial Data
Remote - United States · Mid
Sponsorship not specified$128k-$176kDetected 27 days ago
PythonData StructuresSQLLLMsProduct ManagementRecruitingResearchCommunicationOrganizational Skills
About the role
- About AlphaSense: The world's most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making.
- Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets.
- 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.
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.
- 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
- Strong organizational skills and attention to detail, with a demonstrated ability to manage multiple workstreams and competing priorities independently
- 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.
- Autonomy to create your own schedule and do your best work.
- We support your development by providing ongoing feedback, career development, and weekly 1-on-1s
Requirements
- 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 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
- Proficiency in data management tools such as SQL and Python, with a willingness to expand your toolkit as the role evolves
Compensation
- $128,000 - $176,000 USD
Benefits
- We're committed to ongoing personal and professional growth and we back it up with a learning stipend, lunch and learns, and guest speakers
- Alpha-Sense expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, national origin, age, disability, or veteran status.
- You may also be offered a performance-based bonus, equity, and a generous benefits program.
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This listing is sourced directly from AlphaSense's careers page and normalized into a canonical job model.