Product Manager, New Content Initiatives and Analysis

New York · United States · USD 140,000-175,000 · Posted Oct 7, 2026

At a glance

AlphaSense is seeking a Product Manager for New Content Evaluation and Analysis to help expand and strengthen the breadth, quality, and value of data and content powering their platform.
Candidates should possess deep knowledge of capital markets and investment research combined with extensive experience in evaluating and integrating financial research content and AI-powered investment analysis workflows.

Help identify and evaluate third-party quantitative and qualitative datasets and content for the needs of the AlphaSense platform.
Work alongside Partnership Management and Content Leads to assess data quality, methodology, licensing terms, and integration feasibility.
Run point on active vendor evaluations, including data trials, support proofs of concept, and own the framework to evaluate coverage, timeliness, accuracy, and history analysis.
Help build content org-wide business case for new datasets and quantify value proposition, cost, buy vs build impact, and strategic fit.
Contribute to market research and competitive analysis to identify net new opportunities for innovation and differentiation.
Identify new high impact AI-driven functionality and data sets and formulate the licensing target vendor or self-sourcing strategy to introduce new content into the AlphaSense platform and agentic workflows.
Track industry trends and competing platforms, solutions, and content to deliver competitive intelligence and better evolve product and content vision.

A minimum of 10 years of work experience at a leading financial institution or investment research platform firm focused on the delivery or evaluation of content, features, analytics, and models for front-office investment professionals.
Expert knowledge of contemporary market data and investment research databases, products, and workflow tools.
Demonstrated ability to collaborate with a dedicated cross-functional product development or evaluation teams of engineers, content leads, and vendor management professionals.
Thorough understanding of the logic and concepts of relational and JSON databases.
Demonstrated experience of running complex data queries and analyses using traditional data-query or contemporary generative AI techniques.
Demonstrated ability to set priorities, stay focused, and meet or beat deadlines.
BSc degree or material academic background in a quantitative analysis field.

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 the context of product development
Experience working with distributed teams