Senior Product Designer

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 Real-Time Intelligence team enables organizations to act on data as it happens. By combining real-time ingestion, streaming, event processing, and observability signals, the team delivers capabilities that help customers detect patterns, respond to events, and drive immediate action. These experiences are tightly integrated into Fabric to support modern applications and operational decision-making in real time.​ 

​​This role is for a designer who is genuinely excited by data (big data), and the people who work in this industry. You bring empathy to high-stakes scenarios, thrive in ambiguity, and are motivated to make advanced data platforms feel clear, capable, and trustworthy by our customers.  
 
You'll explore new patterns for human-AI interaction. You'll prototype and validate ideas with users. You'll stay close to emerging capabilities as they evolve, balancing craft with speed. You'll work end-to-end alongside engineers, researchers, data experts, and product leaders across the globe.  
 
If you’re a curious person who wants to help re-define real-time data, agentic business operations at scale, we'd love to hear from you.  

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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. 

• Drive the user experience of key product areas, grounded in deep user empathy and informed by data (JTBD, telemetry, and customer feedback) 
• Own feature areas end-to-end, ensuring high quality, strong craft, and consistency across broader workflows 
• Execute across the full design lifecycle—from concept and ideation through validation, iteration, handoff, and post-ship refinement 
• Design interaction patterns for human–AI collaboration, focusing on clarity, trust, transparency, and appropriate user control 
• Use rapid AI prototyping and user validation to inform decisions and reduce risk ahead of engineering investment 
• Partner closely with engineering, product management, research, and data experts to deliver experiences within technical and performance constraints 
• Navigate ambiguity and constraints effectively, finding practical ways to ship high-quality work in a fast-paced environment 
• Collaborate with other designers to maintain consistency and raise quality, contributing to a strong and growing design culture 
• Embody our culture and values 

Other Requirements:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: 
  • This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred/Additional Qualifications:

• Command of all aspects and levels of interaction/UX design from information architecture, to design systems thinking, user validation, and ai workflows.
• Excellent communication and strong organizational skills – as this an international team    
• Ability to understand how AI systems and data pipelines are built, and to balance technical constraints with user needs and product goals 
• Systems thinking, including the ability to define clear structures and taxonomies that make complex data and AI-driven experiences understandable and usable
• Experience designing for technically complex domains, including data, analytics, or AI-driven products ​