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Within Azure Data, the data integration team builds data gravity on the Microsoft Cloud. Massive volumes of data are generated not just from transactional systems of record, but also from the world around us. Our data integration products Azure Data Factory ;and Power Query make it easy for customers to bring in, clean, shape, and join data, to extract intelligence.The Dataflows team is seeking a proficient Senior Software Engineer to help shape the next generation of Fabric Dataflows and take an active role in our migration to a modern, scalable architecture. As part of Microsofts Data Integration platform, Fabric Dataflows empower millions of users to easily connect, transform, and unify data from diverse sources through a powerful low-code experience powered by Power Query. Join us to build the future of data preparation across Microsoft Fabric, Power BI, and Azure.



Responsibilities
- Design, build and improve cloud services that are part of the Fabric Dataflow product.
- Maintain legacy systems until their sunset and dive into legacy code.
- Drive architectural decisions and lead the development of major components in a distributed, high-SLA system.
- Collaborate closely with a highly skilled teams in ILDC and abroad to deliver end-to-end solutions.
- Conduct code and design reviews.
- Take part in the on-call rotation and solve live issues in production.
- Embody our culture and values

We are seeking a Senior AI Product Manager to lead the strategy and execution of AI solutions optimized for edge environments for Microsofts Adaptive Cloud and Azure Arc customers. This role focuses on enabling low-latency, high-performance AI workloads that run on distributed infrastructure while integrating seamlessly with cloud services and with Microsoft Foundry products.

The ideal candidate is technical, hands-on, and deeply familiar with AI systems, capable of bridging business needs with engineering execution. You will define the roadmap, partner with engineering, and ensure our products deliver real-world impact across industries such as manufacturing, retail, and IoT.

Microsoft is a global organization, so we collaborate across time zones and occasionally travel to meet customers or attend key events.

(Bonus: If you love solving complex problems and get excited about running AI where the internet barely reaches - this role is for you!)



Responsibilities
Shape

Key Responsibilities

Product Strategy & Roadmap

Define and own the vision for Edge AI capabilities, ensuring scalability, security, and performance.

Identify customer pain points and translate them into actionable product requirements.

Execution & Delivery

Work closely with engineering to design and deliver AI features for edge deployments.

Ensure compliance with Responsible AI principles and security standards.

Drive AI workloads and orchestration strategies for distributed environments.

Customer & Market Engagement

Engage with enterprise customers to understand edge AI scenarios and adoption blockers.

Analyze competitive landscape and ensure differentiation through innovation.

Go-To-Market Expertise

Partnering with marketing, sales, and business development to craft positioning and messaging.

Driving launch readiness, pricing, and packaging decisions.

Engaging with customers and partners to validate value propositions and accelerate adoption.

Measuring success through data and metrics, customer feedback, and revenue impact.