Product Manager, New Content Initiatives and Analysis

AlphaSense

17d•$140,000 - $175,000

About The Position

AlphaSense is seeking a Product Manager for New Content Evaluation and Analysis to expand and strengthen the breadth, quality, and value of the data and content powering its platform. The role calls for deep knowledge of capital markets and investment research, combined with experience evaluating and integrating financial research content and AI-powered investment analysis workflows. The Product Manager evaluates third-party quantitative and qualitative datasets and content, working with Partnership Management and Content Leads to assess data quality, methodology, licensing terms, and integration feasibility. The role leads vendor due diligence, including data trials and proofs of concept, and develops evaluation frameworks for coverage, timeliness, accuracy, and historical data. It also helps build business cases for new datasets, quantifying value, cost, buy-versus-build impact, and strategic fit. The position develops expertise in AlphaSense content use cases, conducts market and competitive research, and identifies opportunities for innovation and differentiation. It identifies high-impact AI-driven functionality and datasets and formulates licensing or self-sourcing strategies for introducing content into the platform and agentic workflows. The Product Manager tracks industry trends, competitor offerings, client expectations, and advances in LLMs and AI workflows. The Content organization identifies, creates or licenses, and integrates structured and unstructured content. It includes strategy, product and content management, collection operations, and support responsibilities across content verticals, and reports to the Chief Content Officer. AlphaSense describes its environment as high-growth and emphasizes transparency, trust, and accountability in relationships with colleagues, partners, and stakeholders.

Requirements

At least 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.
Proficient knowledge of contemporary market data and investment research databases, products, and workflow tools, including fundamentals, estimates, transactions data, ownership data, market data, news, and transcripts.
Strong understanding of the logical structure of relational and JSON databases.
Demonstrated experience running complex data queries and analyses using traditional data-query or generative AI techniques.
Close familiarity and hands-on experience with Claude Code or similar platforms.
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 globally distributed teams.
Ability to set priorities, stay focused, and meet or exceed deadlines.
BSc degree or material academic background in a quantitative analysis field.
Excellent presentation skills and demonstrated ability to inform and influence executives and align with stakeholders at multiple levels.
Demonstrated ability to lead successful due-diligence projects or content evaluations across diverse businesses and teams in multiple locations.
Empathic communication skills, including the ability to listen and identify problems in need of solutions.
Genuine interest in corporate finance, capital markets, and investment research, together with data-management expertise demonstrated at a buy-side or sell-side firm or through supporting AI products, features, or data used by investment and data-analysis professionals.
Expert-level data analysis at scale using traditional data-query or generative AI tools and platforms.
Ability to work in a fast-paced, high-growth environment and accommodate changing business priorities.

Nice To Haves

Prior formal or informal team leadership experience.
Experience in content acquisition and licensing.
Prior experience at a market intelligence or financial research SaaS startup.
Exposure to iterative or agile development methodologies in product development.
Experience working with and leading distributed teams.

Responsibilities

Identify and evaluate third-party quantitative and qualitative datasets and content for the AlphaSense platform.
Work with Partnership Management and Content Leads to assess data quality, methodology, licensing terms, and integration feasibility.
Lead vendor due diligence individually or with a due-diligence analyst team, including data trials and proofs of concept.
Develop and own frameworks for evaluating dataset coverage, timeliness, accuracy, and historical data.
Help build business cases for new datasets and quantify their value proposition, cost, buy-versus-build impact, and strategic fit.
Develop expertise in AlphaSense content use cases and contribute market research and competitive analysis to identify opportunities for innovation and differentiation.
Identify high-impact AI-driven functionality and datasets, and formulate vendor licensing or self-sourcing strategies for introducing content into the platform and agentic workflows.
Track industry trends, competing platforms, solutions, and content to inform competitive intelligence and product and content vision.
Keep abreast of the competitive landscape, client expectations, and advances in LLMs and AI workflows.
Present findings and influence executives and stakeholders across multiple levels.
Collaborate with cross-functional teams, including engineers, content leads, and vendor management professionals, and deliver successfully with globally distributed teams.