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Microsoft Foundry Observability provides end-to-end visibility, evaluation, and monitoring for AI applications and agents—from early prototyping to production. Our team develops the platform that powers evaluation driven development, tracing for debugging, real time monitoring, quality measurements and optimization for AI systems. As a Senior Product Manager, you will drive the strategy, experience, and execution of key observability capabilities that help developers and enterprises build high quality, safe, efficient, and trustworthy AI applications. This is a high visibility technical role in which you will work across Foundry portal and code first experiences, partnering with teams across the company to develop a world class product. You’ll also collaborate closely with engineering, design, and customers to shape the next generation of agent centric observability capabilities that developers rely on to build and operate their production AI systems.
Job Responsibility:
Define and evolve the vision and strategy for AI observability with a focus on monitoring and actionable insights
Lead end to end product specifications for both portal UX and codefirst experiences
Partner with engineering to define the product roadmap
Drive crossfunctional execution with engineering, marketing, design, and partner teams, delivering enterprisegrade capabilities
Manage dependencies across the Observability portfolio including engaging closely with the Agents Service, Azure Monitor and other teams across the company
Engage directly with customers and partners to gather requirements, validate solutions, and refine product direction
Use customer signal, telemetry, and research insights to prioritize work and refine requirements
Requirements:
Bachelor's Degree AND 5+ years experience in product/service/program management or software development OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements
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:
AI Fluency: Understanding of LLMs, agentic systems, evaluation methods, observability concepts (e.g., tracing, monitoring, model metrics), and safety principles
Experience building or evaluating LLM based applications, agents, or RAG systems
Product Sense: Demonstrated ability to define enduser experience and product direction across complex technical domains
Execution Excellence: Proven track record delivering highimpact, enterprisegrade features in crossfunctional environments with multiple dependencies
Technical Depth: Ability to work closely with engineers on APIs, telemetry pipelines, evaluation systems, and integration patterns