Product Manager – Enterprise AI Operations & Observability
INR 2535K-4000K (estimate) Senior-level Full Time
Tasks
- Coordinate across engineering operations and vendor teams
- Define strategic vision for AI ML driven insights and automated remediation
- Drive adoption of observability as code SLO based alerting and distributed tracing
- Drive data driven shift left incident management and self healing operations
- Establish and track KPIs for incident detection and resolution
- Lead end to end program management for AIOps and observability initiatives
- Maintain program governance with risk dependency tracking and executive reporting
- Manage vendor relationships and tool evaluations for observability platforms
Perks/Benefits
- N/A
Skills/Tech-stack
AIOps | AWS | Alert Noise Reduction | Anomaly Detection | Artificial Intelligence | Automated remediation | Azure | Cause analysis | Cloud Computing | Cloud platform | Datadog | Distributed tracing | Dynatrace | EBPF | Elastic | Event Correlation | FinOps | Google Cloud | Google Cloud Platform | Grafana | ITIL | Incident Management | Kubernetes | Logs | MTTD | MTTR | Machine Learning | Metrics | Noise Reduction | Observability | Observability-as-Code | OpenTelemetry | PMP | Root Cause Analysis | Root cause | SAFe | SLO | SRE | ServiceNow ITOM | ServiceNow ITSM | Splunk | Traces | “as-code”
Education
N/A
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