About this role
Own and evolve AlphaSense's proprietary financial data taxonomy for capital markets. Drive financial data generation, presentation, and AI/LLM-compatible data structures across sectors and accounting standards.
Must have
Bachelor's degree in Engineering, Computer Science, Business, or related analytical field
5+ years experience with data structures, taxonomy, or data governance
At least 2 years in product management or adjacent cross-functional role
Understanding of financial reporting and structured financial data
Proficiency in SQL and Python
Hands-on experience with AI and LLM tools
Technologies
Responsibilities
Own and evolve proprietary financial data taxonomy across sectors and accounting standards
Define data generation rules for capital markets consumption patterns
Serve as subject matter expert on financial data generation and presentation
Collaborate cross-functionally with engineering, research, product, and sales teams
Identify and resolve gaps in new companies, metrics, and datasets
Design financial data structures with AI and LLM compatibility as core consideration
Build repeatable frameworks for scalable financial data expansion
Benefits
Recruitment process
Role is part of the Financial Data Team at AlphaSense
Platform serves over 6,000 enterprise customers including majority of S&P 500
Company has 2,000+ employees across U.S., U.K., Finland, India, Singapore, Canada, and Ireland
May be offered performance-based bonus, equity, and generous benefits program
AlphaSense acquired Tegus in 2024 to advance AI-driven market intelligence
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