Job Description
Within AI Platform, the Azure AI Search team powers rich knowledge base experiences for apps of all kinds. We integrate the best of Microsoft AI for content understanding, search relevance, and knowledge sources. As a Principal Software Engineering Manager, you will shape end-to-end customer and developer experiences for Azure AI Search—ensuring customers can discover, adopt, and succeed with AI capabilities at global scale. You will operate where product experience meets cloud services, setting direction that improves reliability, security, and time-to-value. You will lead and grow a high-performing team that discovers, defines, and delivers new product capabilities—often turning ambiguous customer needs into clear, shippable features and reliable components. You will foster a high-trust environment where engineers collaborate, move quickly, and continuously raise the bar in a demanding and exciting space. You will also apply evolving AI tools and AI-assisted engineering practices to design, implement, test, and ship AI features faster and more safely across UX flows, portal experiences, samples, SDKs, and APIs. You will thrive in a highly dynamic environment by staying close to users—listening, learning, and translating feedback into product and experience improvements. You will own key entry points and integration experiences (including partner integrations) so customers can onboard smoothly, extend the product confidently, and realize value quickly. You will set technical direction and drive operational excellence from design through production—building for security, reliability, and observability, and ensuring features can be operated with confidence at scale. You’ll establish strong engineering systems (quality, incident readiness, and release practices) and use data from real-world usage to continuously refine the product experience. Success in this role is measured by outcomes customers feel: simpler onboarding, clearer and more consistent experiences across every surface area, and secure, reliable features that run smoothly in production—enabling faster adoption of new AI capabilities. Success is also reflected in the team you build: a high-trust, high-performance culture that adapt
