Product Manager II - Financial Data AlphaSense fintech $111k–145k​/yr $111k–145k​/yr ● New

Location:

Remote - Canada

Department:
Financial Data

Join the Financial Data Team at Alpha Sense as a Product Manager specializing in Financial Data Generation Presentation.

The world’s most sophisticated companies rely on Alpha Sense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, Alpha Sense 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. The acquisition of Tegus by Alpha Sense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence.

Together, Alpha Sense 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. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S P 500. Founded in 2011, Alpha Sense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland.

Come join us! Alpha-Sense 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.

• Own and evolve Alpha Sense's proprietary financial data taxonomy, inclusive of financial metrics reported across sectors, accounting standards, statements, and reporting patterns, ensuring both backwards compatibility and future proofing.
• Understand financial data consumption patterns of capital markets participants and define how data generation rules apply across all sectors and data types, ensuring clients can intuitively discover, understand, and leverage the data Alpha Sense has to offer.
• Serve as the internal subject matter expert on financial data generation and presentation, and develop and maintain official internal and external documentation ensuring data standards are clearly articulated and accessible to all stakeholders.
• Collaborate cross-functionally with engineering, research, product, sales, and client-facing teams to align stakeholders on financial data generation and presentation rules and translate them into a dataset with depth, accuracy, and relevance to clients.
• Proactively identify gaps and inconsistencies as new companies, metrics, and datasets are onboarded, driving efficient resolution in coordination with relevant stakeholders.
• Define the use cases and requirements for new financial datasets that extend beyond the three core financial statements, driving their onboarding in a structured and scalable way.
• Design and maintain financial data structures and taxonomy 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 financial data expansion through building repeatable frameworks and processes, while positioning the dataset for scalable accuracy, relevance, and growth.

• 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…