Product Manager II – Taxonomy, Financial Data

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership - Manage and enhance the current structured financial data taxonomy library at AlphaSense, which includes all client-facing labels, metric definitions, and dataset classifications, ensuring both backward compatibility and future readiness.

• Establish standards - Comprehend current naming conventions and articulate how label standards and governance principles apply across an expanding variety of data types, ensuring clients can easily discover, understand, and utilize the data offered by AlphaSense.

• Collaborate across teams - Work cross-functionally with engineering, data, product, sales, and client-facing teams to align stakeholders on taxonomy decisions and convert conceptual frameworks into scalable, production-ready systems.

• Act as the internal expert - Serve as the subject matter authority on data semantics and create and maintain official internal and external documentation to ensure that taxonomy standards are clearly defined and accessible to all stakeholders.

• Identify and resolve gaps - Proactively detect gaps and inconsistencies as new datasets are integrated, driving resolution in a structured and scalable manner.

• Design with AI in mind - Develop and maintain taxonomy and data structures with AI and LLM compatibility as a key consideration, ensuring that labels, definitions, and conventions support model training, inference, and broader AI-driven automation.

• Build a future taxonomy practice - Establish repeatable frameworks and position this function for team growth over time.

⛳️ Requirements

• A bachelor's degree in a highly analytical field such as Engineering, Computer Science, Business, or a related area.

• Over 5 years of experience in data structures, taxonomy, or data governance, with a minimum of 2 years in a product management or closely related cross-functional role.

• A genuine interest in financial data and capital markets, along with an understanding of how investors and financial professionals consume, interpret, and act on data.

• A demonstrated analytical mindset, capable of translating complex and ambiguous data challenges into structured frameworks and scalable solutions.

• Hands-on experience using AI and LLM tools as an internal practitioner, along with a genuine curiosity about how financial data consumers are integrating AI into their workflows.

• Strong organizational abilities and attention to detail, with a proven capacity to manage multiple workstreams and competing priorities independently.

• Proficiency in data management tools like SQL and Python, with a willingness to expand your skill set as the role evolves.

🏝️ Benefits

• Opportunities for growth in a well-funded, high-growth company that aims to become the new fundamental dataset of record.

• Flexibility to create your own schedule and perform at your best.

• We acknowledge the benefits of flexible work; this team primarily operates remotely and has an office in New York City for optional in-office days.

• We are dedicated to continuous personal and professional development, supported by a learning stipend, lunch and learns, and guest speakers.

• We foster your growth by providing ongoing feedback, career development, and weekly one-on-ones.

• We will equip you to work remotely and efficiently with all necessary equipment.