Lead Product Manager AIOPs
Core
Lead the enterprise AIOps platform and strategy, driving modernization of IT Operations and SRE through intelligent observability, event intelligence, automation, and AI-driven insights.
Role type
Senior Product Manager (AIOps)
Builds
Enterprise AIOps platform capabilities including noise reduction, event management, correlation, anomaly detection, root cause analysis, predictive alerting, and self-healing remediation.
Domain
Enterprise IT Operations, Site Reliability Engineering (SRE), Artificial Intelligence, Cloud Infrastructure
Deliverable
production ML models | product features
Required skills
Product roadmap ownership, requirements translation, backlog management, AIOps concepts (event correlation, anomaly detection, root cause analysis, noise reduction, predictive analytics, automated remediation), time-series forecasting, clustering, correlation algorithms, LLM prompting, RAG, LangChain, cloud infrastructure (AWS/Azure/GCP)
Preferred skills
Enterprise observability platforms (ServiceNow ITOM, Splunk, Dynatrace, Datadog, BigPanda, New Relic), cloud-native platforms, container orchestration, distributed systems, service mapping, telemetry standards, KPI/SLO definition, operational maturity frameworks
Technologies
AWS, Azure, GCP, ServiceNow ITOM, Splunk, Dynatrace, Datadog, BigPanda, New Relic, LangChain, RAG
Responsibilities
Own and execute the AIOps product roadmap aligned with enterprise reliability goals; translate operational needs into product requirements and user stories; define and track success metrics for alert quality, incident reduction, MTTD, MTTR, and automation coverage; partner across Operations, SRE, engineering, and security to drive adoption; present roadmap progress and outcome metrics to senior stakeholders.
Seniority
Senior, hands-on IC
