[Hiring] Product Manager, New Content Initiatives and Analysis @AlphaSense

Role Description

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.

Major Areas of Responsibilities:

• Identify the Need and Showcase the Value: Help identify and evaluate third-party quantitative and qualitative datasets and content for the needs of 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.
• Lead the Due Diligence Effort: Run point individually or leading a due-diligence analyst team 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.
• 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.
• Market Research and Assessment: Track industry trends and competing platforms, solutions, and content to deliver competitive intelligence and better evolve product and content vision. Keep abreast of a rapidly evolving competitive landscape and client expectations along with unprecedented LLM and AI workflow advances.

Qualifications

• Genuine excitement and passion for corporate finance, capital markets, and investment research.
• Data management expertise demonstrated either in previous capacity at a buy-side or sell-side firm or successfully supporting AI products/features/data used by investment and data analysis professionals.
• Natural enthusiasm for working at the intersection of AI, data, technology, and investment research.
• Excellent presentation skills with demonstrated ability to inform and influence executives and align with multiple levels of stakeholders.
• Driven successful due diligence project outcomes or run content evaluations with diverse businesses and teams across multiple locations.
• Empathic communication, with the ability to listen and identify problems in need of solutions.

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 is required. Close familiarity and hands-on experience with Claude Code or similar platforms is a must.
• Demonstrated ability to collaborate with a dedicated 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 is a must. Prior formal or informal team leadership experience is strongly preferred.
• Demonstrated ability to set priorities, stay focused, and meet or beat deadlines.
• BSc degree or material academic background in a quantitative analysis field.

Preferred

• 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.

Company Description

AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor.

This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.

In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.