Grafana Labs
Data AI · Observability & monitoring
Data AI · Observability & monitoring
Grafana Labs has 36 active AI-related job listings. The majority of these roles, 89%, are focused on agents. The top hiring functions are Engineering, with 27 roles, and Product, with 9 roles. The most frequent tech tags include agent orchestration, LLM observability, and model serving. In the last 30 days, Grafana Labs posted 20 new AI roles, representing a 54% increase compared to the previous 30-day period.
Currently tracking 18 active AI roles, up 28% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $154k–$185k (avg $170k).
Grafana Labs currently has 36 active AI-related roles in our index. The most common open titles are: Demand Generation Program Manager | Canada | Remote, Demand Generation Specialist | Canada | Remote, Demand Generation Specialist | United States | Remote, Marketing Analytics Director | Canada | Remote, Marketing Analytics Director | United States | Remote. Most positions are in Engineering and Product.
Grafana Labs's active AI hiring is concentrated in: agents (89%), application (11%). 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 (20 roles), United Kingdom (6 roles), Canada (2 roles), Sweden (1 role).
Job postings at Grafana Labs most frequently mention: Observability, Compliance & Privacy, Retrieval-Augmented Generation (RAG), Multi-Agent Systems, Large Language Models (LLMs).
In the past 30 days, Grafana Labs has posted 19 new AI-related roles. That is a +36% change versus the prior 30 days (14 → 19).
| Title | Stage | AI score |
|---|---|---|
| Staff Software Engineer - Databases SRE | Spain | Remote Staff Software Engineer - SRE role at Grafana Labs, focusing on supporting high-value customers by increasing the reliability of Cloud databases (Mimir, Loki, Tempo, Pyroscope) provided as a SaaS product. The role involves partnering with product engineering, owning production reliability, designing and implementing automation, defining SLOs, leading incident response, and influencing feature design for scalability and operability. Requires 8+ years of engineering experience, strong Kubernetes and SRE experience, and experience with multi-tenant systems and SLO design. | — | 0 |