Jobs at Grafana Labs

Design product experiences for Grafana Cloud’s Knowledge Graph, entity graph, entity catalog, and RCA workbench. Simplify complex, changing system relationships for engineers, SREs, and technical users through clear, role-based interfaces. Responsibilities include user research, translating data into accessible experiences, documenting design decisions, collaborating with engineering and product teams, and balancing customer, business, and technical needs. The role also includes mentoring designers and contributing to the evolution of the remote Product Design organization.

Lead end-to-end technical direction for Grafana’s Session Replay product across frontend, backend, and data systems. Design scalable columnar storage, ingestion pipelines, data models, and query patterns for high-volume session data. Build cross-product investigation workflows connecting replay with observability data, guide architecture, collaborate with customers and internal teams, improve engineering practices, and mentor engineers.

Develop and maintain full-stack integrations for Grafana Cloud observability: build TypeScript/React frontends, Go backends, and Jsonnet mixins. Ship end-to-end features, own projects from design to production, contribute upstream to Prometheus/OpenTelemetry, participate in on-call rotation, and represent the team's work across the org.

Build full-stack Real User Monitoring features across frontend applications, backend services, APIs, and analytical storage systems. Design high-throughput telemetry ingestion, data models, query layers, and dashboards for real-time exploration of sessions, traces, and events. Optimize performance and cost at scale, collaborate with SDK and cross-functional teams, own projects through deployment and monitoring, and contribute to the RUM roadmap.

Design, build, operate, and maintain critical distributed systems powering Grafana Cloud Metrics and the open-source Mimir project. Drive projects from concept through production, improve reliability and performance, contribute to roadmap and design decisions, review code, support teammates, manage releases, and participate in follow-the-sun on-call rotations. Work with cloud infrastructure, microservices, observability systems, and large-scale telemetry databases while collaborating in a remote, open-source environment.

Lead multi-quarter frontend engineering initiatives for Grafana’s DataViz squad, from problem framing through rollout and measurement. Build and evolve visualizations using TypeScript, React, uPlot, and eCharts; mentor engineers; conduct code and design reviews; support production software through on-call and incident response; assist with customer escalations; and represent the squad in cross-team planning, demos, and technical proposals.

Own and improve incentive compensation systems and commission operations. Assess workflows, replace manual processes with scalable automation, configure and optimize Xactly, integrate CRM, HRIS, data warehouse, and compensation platforms, and use SQL to reconcile data and validate outputs. Build AI-enabled workflows, establish documentation and controls, and partner cross-functionally with Finance, People Operations, Revenue Operations, IT, and Data teams.

Lead architecture and delivery of large, distributed telemetry database systems for Grafana Cloud. Own reliability, performance, cost, SLOs/SLIs, incident response, observability, automation, and cross-team alignment while mentoring engineers and driving technical strategy.

Design, build, and operate production multi-agent AI systems and automation for Marketing Operations. Integrate LLMs with business systems (BigQuery, CRMs, Slack), implement RAG pipelines, observability, governance, and scalable serverless/containerized services. Partner with GTM teams to deliver measurable automation and self-service tooling.

Own and run customer lifecycle demand-generation programs to drive expansion, cross-sell, and adoption across email, in-app, web, paid, events, and outbound. Build AI-driven, agentic workflows to automate execution, align programs with sales motions, instrument pipeline impact, and partner with sales and customer teams to optimize coverage and results.

Design, build, and operate core backend services for an AI-native context management system: ingestion, indexing, retrieval APIs, multi-tenant SaaS features, and agent-facing integrations. Define architecture, ensure observability, iterate from prototype to production, and collaborate across product and infrastructure while owning service reliability and technical direction.