Senior Product Manager, Financial Data

About the company

AlphaSense is an AI platform providing market intelligence and workflow orchestration for business and financial decision-making.

About this role

<div class="content-intro"><h2><strong>About AlphaSense:&nbsp;</strong></h2> <p style="text-align: justify;"><span style="font-size: 12pt;">The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense 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. </span></p> <p style="text-align: justify;"><span style="font-size: 12pt;">The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense 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&amp;P 500. Founded in 2011, AlphaSense 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!</span></p></div><p><strong>Location: </strong>United States / Canada (Remote)</p> <p><strong>Reports to:</strong> Director of Product, FinData<br><br></p> <p><strong>About the Team:</strong></p> <p>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 AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense 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.</p> <p><strong>About the Role:&nbsp;</strong></p> <p>We are seeking a Senior Product Manager to oversee the integration of new structured data into the AlphaSense 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&amp;A, etc.).</p> <p><strong>Who You Are:</strong></p> <ul> <li>7+ years of product management experience in the fintech, investment research, or financial services industry</li> <li>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.</li> <li>Strong communication skills and highly team-oriented</li> <li>Meticulous attention to detail</li> <li>Experience with Notion and Linear</li> <li>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</li> <li>Bachelor’s degree in finance, accounting, or business, MBA or a CFA designation</li> </ul> <p><strong>What You’ll Do:</strong></p> <ul> <li>Manage the entire “<strong>zero-to-one”</strong> product lifecycle from initial data analysis through launch, understanding how to structure the data to support multiple workflows, define requirements, supporting development, testing, managing ongoing feedback in incremental enhancements.</li> <li>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.</li> <li>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.</li> <li>Articulate core client problems and collaborate with engineers to validate potential solutions based on robust customer feedback, strategic objectives, market analysis, and technical feasibility.</li> <li>Manage the entire product lifecycle from initial data analysis through launch, understanding how to structure the data to support multiple workflows, define requirements, supporting development, testing, managing ongoing feedback in incremental enhancements.&nbsp;</li> <li>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.&nbsp;</li> <li>Demonstrate strong and persuasive communication skills, ensuring complex ideas are understood by cross-departmental partners, gaining alignment and buy-in to drive valuable impact.</li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>For base compensation, we set standard ranges for all roles based on function and level benchmarked against similar stage growth companies and internal comparables. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors including candidate experience/expertise and m