Teams at Grafana Labs

Partner with Product, Design, Engineering, and Data to define KPIs and measurement for AI-powered features, guide instrumentation, design and evaluate experiments, build dbt models, create dashboards, and influence product analytics standards and long-term strategy.

Lead architecture, delivery, and operation of large distributed telemetry databases. Define technical strategy, SLOs/SLIs, and reliability practices; drive performance, cost, and observability improvements; lead incident response and cross-team projects; mentor engineers; and represent engineering to stakeholders.

Build and scale Grafana Labs' internal engineering platform: design, ship, and operate cloud-native, distributed systems; reduce region build timelines; own reliability, performance, capacity planning, SLOs/SLIs, and on-call duties; collaborate cross-functionally and take projects from design to production.