Product Manager, New Content Initiatives and Analysis
About this role
Based in New York, New York or the United States, this full-time position is for a Product Manager focused on new content initiatives and analysis. The role suits professionals with extensive background in financial research and data evaluation seeking to expand platform data capabilities.
Role Overview
The Product Manager, New Content Initiatives and Analysis position at AlphaSense involves evaluating, selecting, and integrating quantitative and qualitative datasets to strengthen platform offerings. The employee works within the Content organization to drive vendor due diligence, assess data quality, and support AI-driven investment analysis workflows.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
AlphaSense provides market intelligence and search technology built on AI to help enterprise clients make decisions. The company platform indexes equity research, company filings, event transcripts, expert calls, news, and trade journals. Following the acquisition of Tegus, AlphaSense serves thousands of enterprise customers globally with offices across multiple countries.
How to Apply
Applicants should apply directly on the official company careers page.
Skills and tech stack
Questions candidates ask
What is the location of the position?
The position is based in New York, New York, United States, or available within the United States.
What is the salary range for this role?
The base compensation range is $140,000 to $175,000 USD, with potential for a performance-based bonus, equity, and benefits.
How many years of experience are required?
Candidates must have a minimum of 10 years of work experience at a leading financial institution or investment research platform firm.
What educational background is needed?
A BSc degree or material academic background in a quantitative analysis field is required.
What database skills are expected?
Candidates need a thorough understanding of relational and JSON databases, plus experience running complex data queries using traditional or generative AI techniques.