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Salary: USD 140,000 - 175,000 / annual
AlphaSense is a market intelligence platform trusted by over 6,000 enterprise customers, including a majority of the S&P 500. The company delivers AI-driven insights from a comprehensive universe of public and private content including equity research, company filings, event transcripts, expert calls, news, and trade journals. Following the 2024 acquisition of Tegus, AlphaSense is expanding its content capabilities and seeking a Product Manager to lead the evaluation and integration of new datasets and content sources.
The Content organization, reporting to the Chief Content Officer, is responsible for identifying, creating, licensing, and integrating best-in-class content into the platform. This role sits at the intersection of product strategy, content evaluation, and vendor management.
Key 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 fit. Assess data quality, methodology, licensing terms, and integration feasibility alongside Partnership Management and Content Leads.
• Lead active vendor evaluations, including data trials and proofs of concept. Develop frameworks to evaluate coverage, timeliness, accuracy, and historical performance. Build business cases quantifying value proposition, cost, buy-vs-build impact, and strategic fit.
• Become a use-case expert on AlphaSense content. Conduct market research and competitive analysis to identify innovation 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, and evolving client expectations. Monitor the rapidly changing competitive landscape and advances in LLM and AI workflows to inform product and content vision.
You will work in a high-paced, high-growth environment with excellent presentation skills and the ability to influence executives and align stakeholders across multiple levels. You demonstrate empathic communication, strong project management, and the ability to drive successful outcomes across diverse teams and locations.
REQUIREMENTS:
• Minimum 10 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.
• Genuine passion for corporate finance, capital markets, and investment research, coupled with data management expertise demonstrated at a buy-side or sell-side firm, or supporting AI products/features used by investment and data analysis 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).
• Natural enthusiasm for working at the intersection of AI, data, technology, and investment research. Track record of expert-level data analysis at scale using traditional data query or generative AI tools and platforms.
• 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 is 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.
