Lead the evolution of Grafana's Interactive Learning recommendation system by building, deploying, and operating personalized, real-time recommendation models. Own model training and serving, feature pipelines, evaluation and experimentation, and production monitoring while partnering with software engineers, data analysts, and product teams. Position is fully remote and is considering candidates in the United States.

Role to design, build, deploy, and operate recommendation models and a real-time recommendation service for an in-product Interactive Learning experience. Responsibilities include feature pipeline ownership, model training/serving/monitoring, defining offline/online evaluation and experimentation, and partnering with software engineers, data analysts, and product teams. Strong experience expected in recommender/personalization systems, applied production ML, and relevant engineering skills (Go/TypeScript, HTTP/gRPC, streaming).

Grafana Labs is hiring a Senior Machine Learning Engineer (Developer Advocacy) to evolve a rule-based Interactive Learning recommender into a personalized, continuously improving system. The role involves building and operating real-time recommendation services, owning model training/serving/monitoring, defining evaluation and experimentation methodology, and partnering with engineers, data analysts, and product teams. Position is fully remote and Grafana is considering candidates in Sweden.

Work on Grafana's Interactive Learning recommender: build, deploy, and operate real-time personalized recommendation models; define evaluation methodology and run experiments; own feature pipelines, monitoring, and model iteration. Collaborate with software engineers, data analysts, Product Analytics, and cross-functional teams to productionize models and translate product needs into measurable experiments. Role is remote and Grafana lists a Spain base compensation range of EUR 82,988 - 99,586.

Grafana Labs is hiring a Senior Machine Learning Engineer (Developer Advocacy) to evolve the Interactive Learning plugin’s recommendation system into a personalized, real-time recommender. Responsibilities include building and operating models (training, serving, validation, monitoring), defining evaluation metrics (offline, online, longitudinal), running experiments, owning feature pipelines, and partnering with software engineers, data analysts, and product teams to productionize and safely integrate models. Role is fully remote and being considered for candidates in the Republic of Ireland. Compensation range in Ireland: EUR 104,000–124,800 (base).

Lead development of a personalized, real-time recommendation system for Grafana's Interactive Learning plugin. Responsibilities include building, validating, deploying, and monitoring recommendation models and feature pipelines; defining offline and online evaluation and experimentation; shipping incremental improvements; and partnering with software engineers, data analysts, and product teams to productionize models and measure impact. Role is fully remote and targeting candidates in Germany.

Lead the evolution of an in-product personalized recommendation system: build, deploy, and operate recommendation models; define evaluation metrics and experiments; own feature pipelines and model monitoring; partner with software engineers, data analysts, and product teams to productionize improvements. Role is fully remote and Grafana is considering candidates in Canada. Base compensation range (Canada) CAD 164,490–197,389.

Build, prototype, and ship AI/LLM- and agent-powered features for analytics and data workflows in Grafana Cloud. Work involves context engineering, handling large datasets, integrating agentic components with internal tools (e.g., Slack, alerting), using cloud-native environments and observability tools, and collaborating across the team to deliver production-grade, user-facing software.

Grafana Labs seeks a Staff AI Engineer to design, develop, test, and ship AI-powered features (LLM/GenAI and agent workflows) for analytics and observability. The role emphasizes rapid prototyping, production-grade software delivery, cloud-native environments (AWS/GCP/Azure), and integration with observability and internal tooling. This is a remote position considering candidates located in Germany, Ireland, Sweden, Spain, and the United Kingdom. Listed Spain base compensation: €94,000–€117,000.

Grafana Labs seeks a Staff AI Engineer for the 2nd Horizon skunkworks team to design, develop, test, and ship AI-driven analytics features that operate on large datasets. The role focuses on building production-grade, high-performance features using LLMs/GenAI and agentic components, rapid prototyping and iteration with real users, cloud-native deployment, and observability for troubleshooting. Candidates should have practical experience with LLMs/context engineering, delivering software to production, and familiarity with cloud environments (AWS/GCP/Azure).

Grafana Labs seeks a Staff AI Engineer for a skunkworks 2nd Horizon team to design, develop, test, and ship AI-powered, production-grade features (LLM/agent-driven) focused on analytics and large datasets. The role involves rapid prototyping, cloud-native development (AWS/GCP/Azure), observability, integrations (e.g., Slack/alerts), and collaborating with internal data teams. Position is remote with candidates considered in Germany, Ireland, Sweden, Spain, and the UK; Germany base compensation range provided.

Senior/Staff backend role responsible for designing, implementing, testing, and operating services for context ingestion, indexing, retrieval APIs, and agent-facing integrations for an AI-native data intelligence system. Requires experience with LLMs/GenAI, cloud-native environments (e.g., AWS/GCP/Azure), observability practices, and building production-grade multi-tenant SaaS systems. Canada base compensation range listed (CAD 186,368–223,642).

Grafana Labs seeks a Marketing Analytics Director to build and lead the marketing analytics infrastructure—designing data schemas in BigQuery, developing ML models (attribution, MMM, LTV), deploying agentic AI and automation, and partnering with GTM leadership to drive demand generation. Requires 8+ years in marketing analytics/GTM or data science with strong SQL, Python, BigQuery, and hands-on AI and automation experience.

Remote Staff AI Engineer role focused on designing, prototyping, and shipping production AI features for Grafana Cloud observability. Responsibilities include building LLM- and agent-powered workflows for incident detection and triage, integrating AI with alerting/runbooks/developer workflows, rapid experimentation, and collaborating with cross-functional teams. Requires experience with LLMs/GenAI, prompt engineering, cloud-native environments (AWS/GCP/Azure), and observability tooling.

Remote (Canada time zones) Staff AI Engineer role at Grafana Labs focused on designing, prototyping, and shipping AI/ML features (LLMs, prompt engineering, agents) for observability products. Requires production software delivery experience, familiarity with cloud-native environments and observability tools. Reported Canadian base salary range: CAD 186,368–230,000.

Grafana Labs seeks a Senior AI Engineer to develop, prototype, and ship AI-driven observability features (LLM/agent-powered workflows) for incident detection and response. The role is 100% remote for applicants in USA time zones and expects experience delivering production software, working with LLMs/prompt engineering, and exposure to cloud-native environments (AWS/GCP/Azure). Base salary range (US) listed: USD 127,651–203,867 per year.

Grafana Labs seeks a Senior AI Engineer to develop, prototype, and scale AI/LLM-powered features for observability and incident response. Role emphasizes production software delivery, rapid experimentation, integration with observability tooling, and cross-functional collaboration. Position is remote and targets applicants in Canada time zones; listed Canadian base salary range is CAD 129,392–217,128 per year.

Grafana Labs seeks a Staff Engineer (AI & Automation) based in Canada (remote, Quebec residents ineligible) to design, build, and operate multi-agent AI systems, LLM integrations, and backend services connecting models to internal and third-party data (BigQuery, CRMs, Slack). Requires 8+ years software engineering experience, 2+ years applying LLMs in production, strong Python and Node.js skills, and experience with GCP serverless/containerized services.