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.
Microsofts 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 Microsoft Fabric platform team builds and maintains the operating system and provides customers a unified data stack to run an entire data estate. The platform provides a unified experience, unified governance, enables a unified business model and a unified architecture.
The ISV & ALM team focuses on delivering a world-class ALM platform, automation and embedded analytics capabilities for Microsoft Fabric. Our team aim to help customers and partners become successful by providing tools and features such as Fabric Embedded Analytics, Fabric Automation, Fabric Extensibility, Git integration, Deployment Pipelines and more.
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.
Requirements: Outstanding communication skills and collaboration capabilities; the ability to communicate requirements crisply and prioritize effectively.
- You have 5+ years of Product Management/Developer experience with a proven track record of defining, managing, and delivering large scale solutions.
- Strong technical background, preferably in related domains such as databases, BI and AI; must have the ability to discuss technical concepts in detail.
- Excellent leadership and communication skills (written, oral, and interpersonal, English and Hebrew)
- Experience working in cloud technologies, SaaS and PaaS services.
- The ability to understand the enterprise market, clarify customers needs and be a champion for our products and services.
- The ability to create simple user experience for complex needs, define end-to-end user experience and understand what works and what doesnt.
- Strong analytical, problem solving,and organizational skills.
- Advantage: Experience with Azure technologies.
- Advantage: experience in developing software, developer tools and processes.
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