Grafana Labs
Data AI · Observability & monitoring
Grafana Labs currently has 18 active job listings related to AI. All of these roles are focused on agents, representing 100% of their AI hiring. The majority of these positions are in Engineering, with a smaller number in Product. The company is hiring for these roles in the United States and the United Kingdom. Their technical focus includes agent orchestration, LLM observability, RAG, tool use, and guardrails. Over the last 30 days, Grafana Labs has posted 2 new AI roles, a decrease of 86% compared to the previous 30-day period.
Currently tracking 9 active AI roles, up 31% versus the prior 4 weeks. Primary focus: Agent · Engineering.
Data AI · Observability & monitoring
Grafana Labs currently has 15 active AI-related roles in our index. The most common open titles are: Staff AI Engineer | Canada | Remote (2), Staff AI Engineer | US | Remote (2), Demand Generation Specialist | Canada | Remote, Demand Generation Specialist | United States | Remote, Director, Product Management - Data Collection, Transformation, and Ingest | Germany | Remote. Most positions are in Engineering and Product.
Grafana Labs's active AI hiring is concentrated in: agents (87%), application (13%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Grafana Labs is hiring AI talent in: United States (15 roles).
Job postings at Grafana Labs most frequently reference: agent orchestration, llm observability, rag, tool use, guardrails.
In the past 30 days, Grafana Labs has posted 5 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Sales Development Representative | Israel | Remote Sales Development Representative role at Grafana Labs, focusing on engaging users, identifying new business opportunities by partnering with the Sales Team, and developing transferable skills. The role involves balancing reactive and proactive work, researching accounts, crafting outreach messaging, and driving business conversations. It requires using AI as a tool to improve productivity and understanding Grafana's technology and ecosystem. | — | 5 |