This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
Are you a customer-obsessed, AI-curious problem-solver who thrives in an inclusive, collaborative global team? Join Azure Engineering Operations (EngOps) – the organization driving operational excellence across the Microsoft Cloud to strengthen quality, reliability, security, and customer trust. As part of EngOps, you’ll design solutions that prevent issues before they happen, embed AI-powered automation, and turn signals into actions that deliver measurable customer impact. Our culture of empowerment, inclusion, and growth mindset defines how we work. Every day, customers stake their business and reputation on our cloud. You can help EngOps keep them secure, resilient, and ready.
Job Responsibility:
Roadmap Development: Define and drive the agentic AI roadmap for Azure Supportability to meet customer experience and efficiency objectives
Drive Clarity: Create, review, and gain alignment on BRD, PRD, and other documents to drive clarity with engineering and business teams
Cross-Team Leadership: Partner with engineering, product, and support teams to align goals, OKRs, and delivery milestones for agentic AI initiatives
Stakeholder Communication: Own all stakeholder management including clearly communicating benefits, providing routine updates, and creating feedback loops so that we can iterate effectively
Derive Actionable Insights: Conduct research, interviews, and competitive analysis to stay ahead of the rapidly evolving AI landscape and identify customer needs, pain points, and opportunities
Quantify Impact: Measure and evaluate the performance, adoption, and feedback for AI efforts, and continually iterate based on data and insights
Technical Curiosity & Depth: Anticipate and deeply understand technical challenges, constraints and blockers faced and provide recommendations for solving these challenges in a methodical manner
Requirements:
Bachelor's Degree in Computer Science, Engineering, Data Science, Math, Business, or related field AND 4+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience
4+ years of experience in engineering, product/technical program management, data analysis, or product development
2+ years of experience in deep learning, ML, and/or AI
2+ years of working on technical B2B products and services
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter
Nice to have:
Hands-on experience in developing ML and/or AI based solutions
Knowledge of deep learning optimization and acceleration techniques
Firsthand experience with Azure, AWS, or Google Cloud
Experience with data analytics and related technologies, including Kusto (Azure Data Explorer), SQL, ETL technologies, machine learning (ML), and Power BI
Experience as a key contributor towards designing, shipping, and operating large-scale, cloud services or SaaS platforms
Ability to write clear and concise business/technical/product requirement documents
Ability to work well with and articulate ideas to people: customers, engineers, executives
Proven combination of strong business acumen, deep technical knowledge, and excellent communication and storytelling skills that have allowed you to solve difficult problems and drive clarity for stakeholders in ambiguous settings
Solid communication, presentation, and storytelling skills, with the ability to articulate complex technical and business concepts to diverse audiences
Passion and experience in solving complex and ambiguous problems