Product Manager \u2013 Enterprise AI Operations & Observability

Were looking for a Product Manager to drive the strategy, execution, and adoption of AIOps and Observability capabilities across the enterprise. Youll sit at the intersection of engineering, operations, and business stakeholders orchestrating programs that make our systems smarter, more resilient, and easier to understand. This is a high-visibility role for someone who thrives on turning complex, cross-functional technical initiatives into measurable outcomes.

What Youll Do

Lead end-to-end program management for AIOps and Observability initiatives, from roadmap planning through delivery and adoption. Define and drive the strategic vision for how AI/ML-driven insights, automated remediation, and unified observability platforms reduce operational toil and improve system reliability. Coordinate across platform engineering, SRE, infrastructure, application development, and vendor teams to align priorities and resolve dependencies. Establish and track KPIs such as MTTD, MTTR, alert noise reduction, incident volume, and automation coverage. Manage vendor relationships and tool evaluations for observability platforms (e.g., Datadog, Splunk, Dynatrace, Elastic, Grafana, ServiceNow ITOM) and AIOps solutions. Champion a data-driven, shift-left approach to incident management u2014 moving from reactive firefighting to predictive and self-healing operations. Build and maintain program governance including status reporting, risk management, dependency tracking, and executive communication. Drive cultural adoption of observability-as-code practices, SLO-based alerting, and distributed tracing across engineering teams.

A minimum of 10-12 years of experience in technical project management, with at least 4 years focused on infrastructure, SRE, platform engineering, or ITOps domains. Strong working knowledge of observability pillars (metrics, logs, traces) and the modern monitoring ecosystem. Familiarity with AIOps concepts including anomaly detection, event correlation, noise suppression, root cause analysis, and automated remediation. Experience managing programs that span multiple engineering teams, geographies, and tool ecosystems. Ability to translate deeply technical concepts into clear narratives for executive and non-technical audiences. Proven track record of delivering large-scale platform or operations transformation programs. Strong stakeholder management skills u2014 you know how to build consensus, escalate effectively, and keep momentum across competing priorities.

Hands-on experience with at least one major observability platform (Datadog, Splunk, Dynatrace, Elastic, New Relic, Grafana stack). Exposure to OpenTelemetry, eBPF, or observability pipeline tools (Cribl, Vector). Background in cloud-native environments (AWS, Azure, GCP) and container orchestration (Kubernetes). Experience with ServiceNow ITOM/ITSM integration patterns. ITIL, PMP, SAFe, or equivalent certifications. Familiarity with FinOps principles as they relate to observability cost optimization.

Why This Role Matters

AIOps and Observability arent just tooling exercises theyre foundational to how a modern enterprise operates, learns, and recovers. Youll shape how thousands of engineers understand the health of their systems, how incidents are detected before customers feel them, and how operational intelligence feeds back into better design. If you want to lead programs that genuinely change how an organization runs, this is it.

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