Senior Product Manager, Financial Data
Listed on 2026-06-07
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IT/Tech
Data Analyst, Data Scientist -
Finance & Banking
Data Scientist
Overview
The world’s most sophisticated companies rely on Alpha Sense to remove uncertainty from decision‑making. With market intelligence and search built on proven AI, Alpha Sense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals and clients’ own research content. Founded in 2011, Alpha Sense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada and Ireland.
Reportsto
Reports to: Director of Product, Fin Data
About the TeamThe Financial Data content organization is responsible for curating best‑in‑class structured data, both self‑sourced and from third‑party content providers. Historically focused on building a platform of 4,000+ fundamental financial models, the team will now integrate the acquired Tegus data, expanding our platform to offer unmatched accuracy, context and flexibility for investment decisions.
About the RoleWe are seeking a Senior Product Manager to oversee the integration of new structured data into the Alpha Sense platform. Candidates should have extensive experience managing complex data projects that span multiple teams paired with a working knowledge of user workflows related to financial data (such as investor research, quantitative analysis, M&A, etc.).
Who You Are- 7+ years of product management experience in the fintech, investment research or financial services industry
- Proven track record of managing complex products with many moving parts. You excel at making difficult trade‑off decisions and sequencing development to deliver value under tight deadlines.
- Strong communication skills and highly team‑oriented
- Meticulous attention to detail
- Experience with Notion and Linear
- Data fluent:
Comfortable using SQL, LLMs, or a combination of both to query complex datasets, audit for quality and translate technical findings into user value is considered an asset - Bachelor’s degree in finance, accounting or business, MBA or a CFA designation
- Manage the entire zero-to-one product lifecycle from initial data analysis through launch, understanding how to structure the data to support multiple workflows, define requirements, support development, testing and manage ongoing feedback in incremental enhancements.
- Act as the primary bridge between complex user workflows and technical execution, translating sophisticated analytical needs into robust data architectures while partnering with platform peers (Web, Excel and AI) to ensure seamless data delivery.
- Work alongside internal domain experts with deep capital markets and investment research experience to understand user pain points, validate product hypotheses, prompt innovation and inform prioritization.
- Articulate core client problems and collaborate with engineers to validate potential solutions based on robust customer feedback, strategic objectives, market analysis and technical feasibility.
- Manage the entire product lifecycle from initial data analysis through launch, understanding how to structure the data to support multiple workflows, define requirements, support development, testing and manage ongoing feedback in incremental enhancements.
- Vigilant in remaining well informed of industry trends to deliver competitive intelligence to better evolve product and content vision. Analyze other relevant competing content sets in the market and interact with customers to understand their workflows and pain points and gather and document actionable feedback.
- Demonstrate strong and persuasive communication skills, ensuring complex ideas are understood by cross‑departmental partners, gaining alignment and buy‑in to drive valuable impact.
For base compensation, we set standard ranges for all roles based on function and level benchmarked against similar stage growth companies and internal comparables. Final offer amounts are determined by multiple factors including candidate experience/expertise and may vary from the amounts listed below.
Base Compensation Range: $129,000 - $165,000 USD
Equal Opportunity…(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).