Principal Product Manager

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 Microsoft Fabric, the Data Integration team enables organizations to connect, move, and shape data across their entire data estate. As data is generated across applications, devices, and systems, our integration capabilities make it easy to ingest, transform, and prepare data for downstream use. Fabric’s unified integration experience simplifies how customers bring data together, ensuring it is trusted, usable, and ready to power analytics, real-time insights, and AI scenarios.

The Data Integration team is hiring a Principal Product Manager. In this role you will shape and define data integration capabilities and experiences. As part of the role, you will work with customers, partners and community closely, and use feedback to drive product improvements.

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.

Responsibilities

Analysis of Customer and Market Signals - Leads cross-team problem-solving with Microsoft ecosystem insights. Guides use of AI analysis to spot trends, assess market fit, and validate opportunities. Collaborates with stakeholders to refine features and address issues. Anticipates needs, gathers feedback, and shares insights. Manages partnerships, contract negotiations, and leverages AI for secure, improved customer insights and adoption.

Go To Market - Promotes features to stakeholders and partners, supports content creation, and educates on new offerings. Works with marketing and engineering to set release criteria and develop strategies for customer acquisition. Manages product rollouts and creates support plans.

Product/Service Definition - Identifies investment opportunities, sets roadmaps, tracks metrics, and ensures product alignment with business goals. Defines vision and strategy, writes product strategy documents, and builds consensus for AI-first product direction.