Principal Product Manager
Core
Define and drive product strategy for agentic incident management and autonomous self-healing systems for M365 cloud services.
Role type
Principal Product Manager (AIOps & Autonomous Systems)
Builds
Intelligent agents that detect failures, reason over telemetry, and drive recovery for critical cloud services.
Domain
Cloud Infrastructure / AIOps / Reliability Engineering
Deliverable
production ML models
Required skills
Product strategy definition, AI/LLM productization, distributed systems knowledge, reliability engineering principles, autonomous system architecture, chaos engineering, failure-mode analysis, stakeholder alignment, data-driven decision making, technical product acumen.
Preferred skills
Experience with M365 services, Azure Kubernetes Service (AKS), safe-automation platforms, natural-language investigation interfaces, governed autonomy workflows.
Technologies
Large Language Models (LLMs), Azure Kubernetes Service (AKS), telemetry systems, logs, metrics, distributed traces.
Responsibilities
Define vision for intelligent agents that detect failures and drive recovery; Prioritize investments in AI-powered signal intelligence and autonomous workflows; Establish standards for agents to retrieve telemetry and produce traceable findings; Translate AI-generated diagnoses into agents that plan and orchestrate recovery actions; Convert responder feedback into reusable knowledge and model improvements.
Seniority
Principal, hands-on IC with strategic leadership
