Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world. Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture. Within Azure Data, the messaging and real-time analytics team provides comprehensive solutions and a robust platform that enables users to ingest high granularity signals (real-time & observability) and complex data, converting those into a competitive advantage in real-time for both end users and modern applications. We are seeking a Product Manager with deep data competency and strong AI intuition to drive next‑generation AI‑powered data solutions across Microsoft Fabric Real‑Time Intelligence (RTI) and the newly announced Fabric IQ experiences. In this role, you will translate customer needs into intelligent, data‑driven product capabilities; define high‑quality data foundations and evaluation criteria; and partner closely with engineering, data science, and research teams to design AI features that are reliable, safe, and measurable. Success in this role requires a passion for data quality, a strong ability to understand and reason about AI system behavior, and the product craftsmanship to turn complex data into clear, intuitive user experiences that extend the power of Fabric RTI and Fabric IQ to customers at scale. We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.
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Job Type
Full-time
Career Level
Mid Level