Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies - including Bloomberg, JPMorgan Chase, and eBay - manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with Grafana Cloud or self-managed with the Grafana Enterprise Stack, both featuring scalable metrics (Grafana Mimir), logs (Grafana Loki), and traces (Grafana Tempo).
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.

THE OPPORTUNITY:

At Grafana, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. The Grafana AI teams play a key role in this mission by helping users make sense of complex observability data through AI-driven features. These capabilities reduce toil, lower the barrier of domain expertise, and surface meaningful signals from noisy environments.
We’re looking for an experienced engineer with a background in agentic applications to help us redefine how users interact with observability systems. In this role, you’ll develop AI-powered workflows that can:
Support incident response by querying telemetry and other analysis tools to investigate alerts and suggest actions.
Evaluate overall infrastructure and/or observability quality and help automate meaningful improvements.
Expand the capabilities of agents across the observability stack.

WHAT YOU’LL BE DOING:

• Design and evolve systems that use intelligent agents that assist users in detecting, triaging, and resolving incidents using observability data and tools.
• Build end-to-end workflows for incident lifecycle management, powered by LLMs or agentic technologies.
• Implement agentic systems to automate bulk workloads (such as large-scale analyses and report generation), suggest improvements, and surface likely root causes of failures.
• Integrate agentic components with internal tools, runbooks, alerting systems, incident platforms, and development environments.

All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs’ success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

• Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process