Overview
Product Manager for New Content Evaluation and Analysis, responsible for identifying, evaluating and integrating new third-party datasets and content into the AlphaSense platform.
What you'll do
- Identify and evaluate third-party quantitative and qualitative datasets and content for the AlphaSense platform (e.g. market data, fundamentals, estimates, ESG, news, research, transcripts, regulatory filings, and alternative data).
- Work alongside Partnership Management and Content Leads to assess data quality, methodology, licensing terms, and integration feasibility.
- Run point individually or lead a due-diligence analyst team on active vendor evaluations, including data trials and proofs of concept, and own the framework to evaluate coverage, timeliness, accuracy, and history analysis.
- Build the content 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.
- 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 evolve product and content vision.
- Keep abreast of the competitive landscape, client expectations, and advances in LLM and AI workflows.
What you'll need
- 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.
- Genuine excitement for corporate finance, capital markets, and investment research, coupled with data management expertise, gained at a buy-side or sell-side firm or by supporting AI products/features/data used by investment and data analysis professionals.
- Excellent presentation skills with demonstrated ability to inform and influence executives and align with multiple levels of stakeholders.
- Track record of successful due diligence project outcomes or content evaluations across diverse businesses and teams in multiple locations.
- Empathic communication, with the ability to listen and identify problems in need of solutions.
- Comfort working in a high-paced, high-growth environment and accommodating rapidly changing business priorities.
Nice to have
- Prior formal or informal team leadership experience.
- 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.
Details
- Remote, United States.
- Base compensation range $140,000 to $175,000 USD; final offer may vary and a performance-based bonus, equity and benefits may be offered.
Read the full description and apply on the company’s own careers page.