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 Alpha-Sense as a Product Manager specializing in Taxonomy. Successful candidates will bring a strong analytical mindset, expertise in data governance and taxonomy, and the ability to drive alignment across technical and business stakeholders.
What You’ll Do:
Drive ownership - Own and evolve the existing structured financial data taxonomy library at AlphaSense, inclusive of all client-facing labels, metric definitions and dataset classifications, ensuring both backwards compatibility and future proofing.
Set the standard - Understand existing naming standards and define how label conventions and governance principles apply across a growing range of data types, ensuring clients can intuitively discover, understand, and leverage the data Alpha-Sense has to offer.
Collaborate cross-functionally with engineering, data, product, sales, and client-facing teams to align stakeholders on taxonomy decisions and translate conceptual frameworks into scalable, production-ready systems
Serve as the internal subject matter expert on data semantics, and develop and maintain official internal and external documentation ensuring taxonomy standards are clearly articulated and accessible to all stakeholders
Proactively identify gaps and inconsistencies as new datasets are onboarded, and drive resolution in a structured and scalable way
Design and maintain taxonomy and data structures 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 a future taxonomy practice — building repeatable frameworks and positioning this function for team growth over time
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
Benefits & Perks
Growth opportunities in a well-funded, high-growth company that’s aiming to be the new fundamental dataset of record .
Autonomy to create your own schedule and do your best work.
We recognize the advantages of working flexibly. This team primarily works remotely and also has an office located in New York City for optional in-office days.
We’re committed to ongoing personal and professional growth and we back it up with a learning stipend, lunch and learns, and guest speakers
We support your development by providing ongoing feedback, career development, and weekly 1-on-1s
We’ll set you up to work remotely and effectively with all the equipment you need
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—$139,000 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.
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