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Product Manager, New Content Initiatives, Analysis
AlphaSense. Identify and evaluate third-party quantitative and qualitative datasets and content for the AlphaSense platform, including market data, fundamentals, estimates, ESG, news, research, transcripts, regulatory filings, and alternative data .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Expertise in evaluating and integrating financial research content and AI-driven investment analysis workflows, with a strong focus on data quality, market research, and competitive analysis. Proven ability to collaborate with cross-functional teams and deliver strategic insights for investment professionals.
Highest-signal resume keywords
Expert Knowledge of Market DataData Management ExpertiseExperience with AI-Powered Investment AnalysisStrong Presentation SkillsBSc in Quantitative Analysis
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Analysis at ScaleComplex Data QueriesRelational DatabasesJSON DatabasesInvestment Research EvaluationContent AcquisitionMarket ResearchVendor EvaluationAI TechniquesFinancial Data Integration
Soft Skills
CollaborationPrioritizationFocusInfluencing ExecutivesMeeting Deadlines
Tools & Technologies
Investment Research DatabasesWorkflow ToolsGenerative AI PlatformsData Query ToolsSaaS Solutions
Industry Keywords
Capital MarketsCorporate FinanceFinancial ResearchDue DiligenceAgile DevelopmentBuy-SideSell-SideMarket IntelligenceContent EvaluationAlternative Data
About the role
Key responsibilities & impact- Identify and evaluate third-party quantitative and qualitative datasets and content for the AlphaSense platform, including market data, fundamentals, estimates, ESG, news, research, transcripts, regulatory filings, and alternative data
- 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 for evaluating coverage, timeliness, accuracy, and historical depth
- Build content organization business cases for new datasets and quantify value proposition, cost, buy-versus-build impact, and strategic fit
- Conduct market research and competitive analysis to identify innovation and differentiation opportunities
- Identify high-impact AI-driven functionality and datasets
- Formulate licensing, target-vendor, or self-sourcing strategies for introducing new content into the AlphaSense platform and agentic workflows
- Track industry trends, competing platforms, solutions, and content to deliver competitive intelligence and evolve product and content vision
- Collaborate with internal stakeholders, external partners, engineers, content leads, and vendor management professionals
Requirements
What you’ll need- Minimum of 10 years of work experience at a leading financial institution or investment research platform firm focused on 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, including Fundamentals, Estimates, Transactions data, Ownership data, Market data, News, and 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
- Experience 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 evaluating and integrating financial research content and AI-powered investment analysis workflows
- Genuine passion for corporate finance, capital markets, and investment research
- Data management expertise demonstrated at a buy-side or sell-side firm or through supporting AI products/features/data used by investment and data analysis professionals
- Expert-level data analysis at scale using traditional data query or generative AI tools and platforms
- Excellent presentation skills and ability to inform and influence executives and align with multiple levels of stakeholders
- Experience driving successful due diligence project outcomes or running content evaluations with diverse businesses and teams across multiple locations
- Experience in content acquisition and licensing preferred
- Prior experience at a market intelligence or financial research SaaS start-up preferred
- Exposure to iterative/agile development methodologies preferred
- Experience working with distributed teams preferred
Benefits
Comp & perks- Performance-based bonus
- Equity
- Generous benefits program
- Reasonable accommodation for qualified employees with protected disabilities
- AlphaSense never asks candidates to pay for job applications, equipment, or training