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Context to the agents. Value to the people.
DataGalaxy is the AI context and value engine. It gives people and AI agents the trusted context they need to understand data, and gives organizations the visibility to prove what their data and AI initiatives deliver.
It works in three layers. Context gives people and AI agents the meaning behind the data: definitions, business terms, and how it all connects. Trust makes that context reliable and safe to act on, with lineage, ownership, quality, and governance. Value ties data and AI initiatives to measurable business outcomes. Together, they connect the knowledge behind your data to the AI initiatives that put it to work. DataGalaxy provides the foundation you need to scale AI and prove its business value.
Founded in France and growing across Europe and the United States, DataGalaxy is trusted by more than 200 clients, including Dior, Airbus, and Swiss Life.
About The Role
DataGalaxy's Customer Experience team manages and grows a fast-growing client portfolio, building long-term relationships with decision-makers. Our objective: the best service across every customer touchpoint, to increase customer satisfaction and success with DataGalaxy.
We are seeking a results-driven Account Manager with the following mission and responsibilities :
Requirements
Benefits
At DataGalaxy, we believe diversity is a strength that fuels our mission. DataGalaxy is committed to ensuring everyone feels included, valued, and empowered at work. As an equal opportunity employer, we welcome all qualified applicants regardless of age, color, family or marital status, gender identity, national or social origin, physical or mental disability, or sexual orientation or any other characteristic protected by applicable laws.
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DataGalaxy is a data and AI product governance platform that helps organizations manage their data assets by connecting strategy, product management, and business impact. It functions as a data knowledge catalog, enabling teams to collaborate, understand data quality, and find information using natural language search. The platform uses AI-powered assistants and automation to help with tasks like data discovery, sensitive data flagging, and documentation, ultimately aiming to turn governance into a driver of value and trusted business outcomes.