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Principal Product Manager, Financial Data

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Logoslabs
Full Time position
Listed on 2026-10-23
Job specializations:
  • Finance & Banking
    AI Business & Operations, Data Scientist
  • Business
    Data Analyst, AI Business & Operations, Data Scientist
Salary/Wage Range or Industry Benchmark: 180000 - 230000 USD Yearly USD 180000.00 230000.00 YEAR
Job Description & How to Apply Below
About Alpha Sense:

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.

The acquisition of Tegus by Alpha Sense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, Alpha Sense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500.

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. Come join us!

About the Team:

The Financial Data content organization is responsible for curating best-in-class structured data, both self-sourced and from third party content providers. The team was historically focused primarily on building a platform of 4,000+ fundamental financial models. The acquisition of Tegus by Alpha Sense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, Alpha Sense and Tegus will accelerate growth, innovation, and content expansion and enable users to unearth even more comprehensive insights from thousands of content sets.

Within this new environment, the Global Research team is integrating our rich dataset into the platform alongside third party data to create a new final database that will offer our customers an unmatched level of accuracy, context, and flexibility to analyze and make investment decisions.

About the Role:

We are seeking a Principal Product Manager to oversee and lead the integration of two major new product launches into the Alpha Sense platform. Candidates should have extensive experience managing complex data projects that span multiple teams paired with working knowledge of user workflows related to financial data (such as investor research, quantitative analysis, M&A, etc.).

Who You Are:

  • 12+ years of product management experience, including several years 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

What You’ll Do:

  • Create the framework for a “
    zero-to-one
    ” product lifecycle from initial data analysis through launch, including creating “user stories”, product milestones and roadmap and supporting PMs to create detailed PRDs.

  • Work alongside internal domain experts with deep capital markets / investment research experience to understand user pain points, validate product hypotheses, prompt innovation and inform prioritization.

  • Act as the primary bridge between complex user workflows and technical execution, translating sophisticated analytical needs into robust data architectures while…

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