Product Manager II – Financial Data

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AlphaSense

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2011

💼 Consulting

🏥 Healthcare

📣 Marketing

💰 Debt Financing on 2022-06

Consulting • Healthcare • Marketing

AlphaSense is a market intelligence and search platform that empowers companies to unlock critical insights across an extensive universe of public and private content, including company filings, broker research, expert calls, and market trends. Its AI-driven technology affords users the ability to conduct comprehensive due diligence with speed and accuracy, reducing uncertainty and blind spots in decision-making. Trusted by major corporations, financial institutions, and asset management firms globally, AlphaSense serves sectors such as financial services, health care, and technology by providing generative AI-powered solutions that integrate internal proprietary data with external premium content.

📋 Description

• Own and evolve AlphaSense's proprietary financial data taxonomy across sectors, accounting standards, statements, and reporting patterns • Define how financial data generation rules apply across sectors and data types • Serve as the internal subject matter expert on financial data generation and presentation • Develop and maintain official internal and external documentation for data standards • Collaborate with engineering, research, product, sales, and client-facing teams to align stakeholders and translate rules into accurate, relevant datasets • Identify gaps and inconsistencies in newly onboarded companies, metrics, and datasets and coordinate resolutions • Define use cases and requirements for new financial datasets beyond the three core financial statements • Design and maintain AI- and LLM-compatible financial data structures and taxonomy • Build repeatable frameworks and processes for scalable financial data accuracy, relevance, and growth

🎯 Requirements

• Bachelor's degree in Engineering, Computer Science, Business, or a related highly analytical discipline • 5+ years of experience working with data structures, taxonomy, or data governance • At least 2 years of experience in product management or a closely adjacent cross-functional role • Genuine interest in financial data and capital markets • Understanding of how investors and financial professionals consume, interpret, and act on data • Proven analytical mindset and 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 • Curiosity about how financial data consumers integrate AI into their workflows • Strong organizational skills and attention to detail • Ability to manage multiple workstreams and competing priorities independently • Proficiency in SQL and Python • Willingness to expand the data management toolkit as the role evolves

🏖️ Benefits

• Performance-based bonus may be offered • Equity may be offered • Generous benefits program • Equal employment opportunity • Reasonable accommodation for qualified employees with protected disabilities