Product Manager II – Taxonomy, Financial Data

🕒 vor 1 Monat

🇺🇸 Vereinigte Staaten – Remote

💵 $128.000 - $176.000 / Jahr

⏰ Vollzeit

🟡 Mittelstufe

🟠 Senior

✅ Produktmanager

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

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AlphaSense

WebsiteLinkedInAlle Stellen

1001 - 5000 Mitarbeiter

Gegründet 2011

💼 Beratung

🏥 Gesundheitswesen

📣 Marketing

💰 Debt Financing im 2022-06

Consulting • Healthcare • Marketing

AlphaSense ist eine Plattform für Marktanalysen und Suchfunktionen, die Unternehmen dabei unterstützt, entscheidende Einblicke in ein umfangreiches Universum öffentlicher und privater Inhalte zu gewinnen, darunter Unternehmensmeldungen, Broker-Research, Expertengespräche und Markttrends. Die KI-gesteuerte Technologie von AlphaSense ermöglicht es Nutzern, umfassende Due-Diligence-Prüfungen schnell und präzise durchzuführen, wodurch Unsicherheit und blinde Flecken in der Entscheidungsfindung reduziert werden. AlphaSense wird von großen Konzernen, Finanzinstituten und Vermögensverwaltungsgesellschaften weltweit vertraut und bietet generative KI-gestützte Lösungen, die interne, proprietäre Daten mit externen Premium-Inhalten integrieren und bedient Sektoren wie Finanzdienstleistungen, Gesundheitswesen und Technologie.

Beschreibung

• 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

🎯 Anforderungen

• 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

🏖️ Vorteile

• 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