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AlphaSense is a market intelligence platform trusted by over 6,000 enterprise customers, including a majority of the S&P 500. The company combines AI-driven search with a comprehensive universe of public and private content—equity research, company filings, event transcripts, expert calls, news, trade journals, and proprietary research—to help sophisticated organizations remove uncertainty from decision-making. Founded in 2011 and headquartered in New York with 2,000+ employees globally, AlphaSense acquired Tegus in 2024 to expand its content and product capabilities.
The Content organization, reporting to the Chief Content Officer, is responsible for identifying, creating, licensing, and integrating best-in-class unstructured and structured content into the platform. This role sits within a rapidly growing team that values transparency, trust, and accountability.
As Product Manager for New Content Evaluation and Analysis, you will drive the expansion and strengthening of the breadth, quality, and value of data and content powering the AlphaSense platform. Your responsibilities include:
• Identify and evaluate third-party quantitative and qualitative datasets and content (market data, fundamentals, estimates, ESG, news, research, transcripts, regulatory filings, alternative data) for platform needs. Work with Partnership Management and Content Leads to assess data quality, methodology, licensing terms, and integration feasibility.
• Lead active vendor evaluations, including data trials and proofs of concept. Own the framework to evaluate coverage, timeliness, accuracy, and historical performance. Build business cases for new datasets, quantifying value proposition, cost, buy-vs.-build impact, and strategic fit.
• Become a use case expert for AlphaSense content. Conduct market research and competitive analysis to identify innovation and differentiation opportunities. Identify high-impact AI-driven functionality and datasets, formulating licensing or self-sourcing strategies to introduce new content and agentic workflows.
• Track industry trends, competing platforms, solutions, and content to deliver competitive intelligence and evolve product and content vision. Stay current with the rapidly evolving competitive landscape, client expectations, and LLM/AI workflow advances.
You bring genuine passion for corporate finance, capital markets, and investment research, combined with data management expertise from buy-side, sell-side, or AI product roles supporting investment professionals. You thrive at the intersection of AI, data, technology, and investment research, with a track record of expert-level data analysis at scale using traditional query tools or generative AI platforms. You excel in high-paced, high-growth environments, adapt to rapidly changing priorities, and possess excellent presentation skills to inform and influence executives across multiple stakeholder levels. You have driven successful due diligence projects and content evaluations across diverse businesses and teams in multiple locations, and you communicate with empathy and strong listening skills.
REQUIREMENTS:
• Minimum 5+ years of work experience at a leading financial institution or investment research platform firm, focused on delivering or evaluating content, features, analytics, and models for front-office investment professionals
• Expert knowledge of contemporary market data and investment research databases, products, and workflow tools (Fundamentals, Estimates, Transactions data, Ownership data, Market data, News, Transcripts)
• Demonstrated ability to collaborate with cross-functional product development or evaluation teams of engineers, content leads, and vendor management professionals
• Thorough understanding of relational and JSON databases; demonstrated experience running complex data queries and analyses using traditional data-query or contemporary generative AI techniques (required)
• Demonstrated ability to set priorities, stay focused, and meet or beat deadlines
• BSc degree or material academic background in a quantitative analysis field
PREFERRED:
• Experience in content acquisition and licensing
• Prior experience at a market intelligence or financial research SaaS start-up
• Exposure to iterative/agile development methodologies in product development
• Experience working with distributed teams
