• Own the Insights product area, defining vision, roadmap, and success metrics across observability experiences. • Drive AI-powered insights and alerting, including Grafana-based experiences that surface high-signal, low-noise information to customers. • Translate raw telemetry (metrics, logs, events) into curated, actionable insights that help customers understand performance, reliability, and cost drivers in their AI workloads. • Partner with Engineering and Design to ship proactive insights, including natural-language and automated analysis where appropriate. • Go deep on priority domains such as cost optimization, identifying what signals matter most and how they should be presented to drive action. • Use customer feedback, usage data, and experimentation to continuously validate impact and improve adoption of Insights features.