Product Manager II - Financial Data
AlphaSenseThis Product Manager role focuses on financial data taxonomy and generation within a market intelligence platform. You will lead the structural organization of complex financial metrics to power AI-driven insights.
What you’d own
- Proprietary financial data taxonomy and reporting patterns
- Data generation rules across all sectors and types
- Financial data structures for AI and LLM compatibility
- Repeatable frameworks for scalable data expansion
Who it’s for
A fit if you…
- ✓You have 5+ years of experience with data structures, taxonomy, or data governance.
- ✓You possess a deep understanding of how capital markets participants consume financial data.
- ✓You are proficient in SQL and Python and comfortable working with complex data challenges.
Not for you if…
- ✗You prefer a purely creative product role over heavy data governance and taxonomy work.
- ✗You lack the technical depth to manage data structures for AI/LLM model training.
- ✗You prefer a highly defined roadmap over identifying gaps in ambiguous, un-structured datasets.
Reading between the lines
- The emphasis on 'building repeatable frameworks' and 'laying foundations' suggests you will be creating processes from scratch rather than just maintaining existing ones.
- The requirement to 'translate complex, ambiguous data challenges into structured frameworks' implies a high degree of initial ambiguity in the data types being onboarded.
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Benefits
Full job description
About AlphaSense: 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. 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 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! Alpha-Sense is the leading market intelligence platform for key decision makers. We power some of the world’s most well-respected institutional investors, corporations, and consultancies through the largest and most comprehensive database of primary and market information. Our products and services enable clients to discover unmatched insights and answers to the most challenging questions they face to help them make better informed decisions.
Join the Financial Data Team at AlphaSense as a Product Manager specializing in Financial Data Generation Presentation. Successful candidates will bring a strong analytical mindset, proficiency in financial reporting and structured financial data, and the ability to drive alignment across technical and business stakeholders. What You’ll Do: Own and evolve AlphaSense's proprietary financial data taxonomy, inclusive of financial metrics reported across sectors, accounting standards, statements, and reporting patterns, ensuring both backwards compatibility and future proofing.
Understand financial data consumption patterns of capital markets participants and define how data generation rules apply across all sectors and data types, ensuring clients can intuitively discover, understand, and leverage the data AlphaSense has to offer. Serve as the internal subject matter expert on financial data generation and presentation, and develop and maintain official internal and external documentation ensuring data standards are clearly articulated and accessible to all stakeholders.
Collaborate cross-functionally with engineering, research, product, sales, and client-facing teams to align stakeholders on financial data generation and presentation rules and translate them into a dataset with depth, accuracy, and relevance to clients. Proactively identify gaps and inconsistencies as new companies, metrics, and datasets are onboarded, driving efficient resolution in coordination with relevant stakeholders. Define the use cases and requirements for new financial datasets that extend beyond the three core financial statements, driving their onboarding in a structured and scalable way.
Design and maintain financial data structures and taxonomy with AI and LLM compatibility as a core consideration, ensuring labels, definitions, and conventions support model training, inference, and broader AI-driven automation. Lay the foundation for financial data expansion through building repeatable frameworks and processes, while positioning the dataset for scalable accuracy, relevance, and growth. Who You Are: Bachelor's degree in a highly analytical field such as Engineering, Computer Science, Business, or a related discipline 5+ years of experience working with data structures, taxonomy, or data governance, with at least 2 years in a product management or closely adjacent cross-functional role A genuine interest in financial data and capital markets, with an understanding of how investors and financial professionals consume, interpret, and act on data A proven analytical mindset, with the ability to translate complex, ambiguous data challenges into structured frameworks and scalable solutions Hands-on experience leveraging AI and LLM tools as an internal practitioner and a genuine curiosity for how consumers of financial data are integrating AI into their workflows Strong organizational skills and attention to detail, with a demonstrated ability to manage multiple workstreams and competing priorities independently Proficiency in data management tools such as SQL and Python, with a willingness to expand your toolkit as the role evolves Don’t meet every single requirement?
Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Alpha-Sense we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Alpha-Sense, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, or veteran status.
In addition to federal law requirements, Alpha-Sense complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company operates. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Alpha-Sense expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, national origin, age, disability, or veteran status.
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 may vary from the amounts listed below.
You may also be offered a performance-based bonus, equity, and a generous benefits program. Base Compensation Range $111,000 — $145,000 CAD 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. Recruiting Scams and Fraud We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters.
These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note: AlphaSense never asks candidates to pay for job applications, equipment, or training. All official communications will come from an @ alpha-sense.com email address. If you’re unsure about a job posting or recruiter, verify it on our Careers page . If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.
About AlphaSense
See all roles →AlphaSense is an AI-powered market intelligence and search platform used by analysts at investment banks, hedge funds, private equity firms, consultancies, and corporate strategy teams to surface insights across 500 million-plus financial and business documents. Its content set spans broker research, company filings, expert call transcripts (via Tegus, which it acquired), and customers' internal knowledge, with multi-agent generative search and Deep Research layered on top. The company was founded in 2011, is headquartered in New York, and counts 6,500+ enterprises including Pfizer, Microsoft, J.P. Morgan, and Salesforce as customers. It hires remotely across the US, UK, Ireland, Canada, and India.
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