Product Manager, New Content Initiatives and Analysis

We are seeking a Product Manager for New Content Evaluation and Analysis to help us expand and strengthen the breadth, quality, and value of the data and content that power our Platform. Candidates should have deep knowledge of capital markets and investment research combined with extensive experience of evaluating and integrating financial research content and AI-powered investment analysis workflows. The Content organization is responsible for identifying, creating or licensing and integrating best-in-class unstructured and structured content into the AlphaSense platform.

Responsibilities

Identify the need and showcase the value of third-party quantitative and qualitative datasets and content for the AlphaSense platform; Work alongside Partnership Management and Content Leads to assess data quality, methodology, licensing terms, and integration feasibility; Lead the due diligence effort on active vendor evaluations, including data trials and proofs of concept, and own the framework to evaluate coverage, timeliness, accuracy, and history analysis; Help build an org-wide business case for new datasets and quantify value proposition, cost, buy vs build impact, and strategic fit; Become a use case expert for AlphaSense content and identify new high-impact AI-driven functionality and data sets; Formulate licensing target vendor or self-sourcing strategies to introduce new content into the AlphaSense platform and agentic workflows; Track industry trends and competing platforms, solutions, and content to deliver competitive intelligence

Requirements

At least 5 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; Proficient knowledge of contemporary market data and investment research databases, products, and workflow tools (e.g.: Fundamentals, Estimates, Transactions data, Ownership data, Market data, News, Transcripts); Strong understanding of the logical structure of relational and JSON databases; Demonstrated experience of running complex data queries and analyses using traditional data-query or contemporary generative AI techniques; Close familiarity and hands-on experience with Claude Code or similar platforms; Demonstrated ability to collaborate with cross-functional product development or evaluation teams of engineers, content leads, and vendor management professionals; A track record of successful collaboration and delivery with a globally distributed team; Demonstrated ability to set priorities, stay focused, and meet or beat deadlines; BSc degree or material academic background in a quantitative analysis field; Deep knowledge of capital markets and investment research; Genuine excitement and passion for corporate finance, capital markets, and investment research coupled with data management expertise

Nice to have

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 and leading distributed teams