Jobs at Grafana Labs

Build and evolve high-performance iOS instrumentation SDKs for mobile observability. Develop features including session tracking, crash reporting, sampling, context propagation, and OpenTelemetry integrations. Own projects end to end, ensure automated testing and backward compatibility, collaborate across engineering and product teams, contribute to open source, mentor teammates, and help shape the mobile observability roadmap.

Build and operate core components of a distributed, multi-tenant database and SaaS data platform, including ingestion, query planning, distributed execution, storage formats, APIs, tenant isolation, quotas, audit logs, and background jobs. Develop agent-facing retrieval interfaces, instrument services with observability tooling, and shape architecture as the product evolves from prototype to production. Collaborate across product and infrastructure while making pragmatic decisions in an autonomous environment.

Manage and develop a distributed team of backend and frontend engineers working on observability collection products, including Fleet Management, Kubernetes Monitoring Helm Chart, and Instrumentation Hub. Partner with product, engineering leadership, and go-to-market teams to deliver customer-focused solutions. Guide projects from ideation through launch, foster psychological safety and continuous improvement, and contribute across team boundaries.

Develop and communicate quantified business value for Grafana products and services. Responsibilities include collaborating with customers, building ROI and TCO models, analyzing data, creating value narratives, enabling sales teams through training and content, and partnering with account executives, solutions engineers, observability architects, and cross-functional GTM teams. The role also supports strategic partnerships and requires customer-facing communication from technical to executive audiences.

Lead two distributed frontend engineering squads responsible for Grafana’s frontend platform and navigation. Manage performance, hiring, team planning, coaching, delivery, technical direction, and cross-functional prioritization. Shape architecture, developer experience, accessibility, search, navigation, reliability, and multitenant capabilities. Engage customers and open-source contributors, improve engineering workflows through AI and automation, oversee operational standards, and participate in the engineering management on-call rotation.

Build and operate backend services for an AI-native context management system, including ingestion, indexing, retrieval APIs, multi-tenant SaaS infrastructure, agent integrations, and administration tools. Define architecture, storage, service boundaries, and API contracts while instrumenting systems for reliability. Work autonomously in an early-stage environment, iterate rapidly, collaborate across teams, and deliver scalable production software for AI-agent workflows.

Leads Enterprise Growth Account Executives across the UK and Ireland, driving revenue growth, pipeline development, territory strategy, quota attainment, and strategic customer relationships. The role includes mentoring sales teams, managing complex enterprise sales cycles, closing seven-figure deals, partnering with cross-functional teams, and engaging C-level executives. Candidates need extensive direct sales experience, enterprise team leadership experience, consultative selling expertise, and MEDDPICC knowledge.

Leads Western Europe regional marketing programs from strategy and budgeting through execution, reporting, and retrospectives. Manages ABM, events, stakeholders, vendors, timelines, and performance goals in partnership with Sales and SDR teams. Uses Splash, Zuddl, Salesforce, Monday.com, AI, and automation to improve marketing efficiency and scalability. Independently manages risks and priorities, translates performance data into recommendations, documents repeatable workflows, and guides junior team members and contractors.

Partner with Product, Design, Engineering, and Data to define KPIs and measurement for AI-powered features, guide instrumentation, design and evaluate experiments, build dbt models, create dashboards, and translate analytics into product recommendations to shape AI product strategy.

Embed with product engineering squads to own production reliability for Grafana Cloud databases (Mimir, Loki, Tempo, Pyroscope). Design and implement SLOs, automation, and fault-tolerant patterns; lead incident response and post-incident reviews; improve observability, alerting, and scalability for high-SLA multi-tenant environments; mentor engineers and influence product design for operability.

Design, build, operate, and maintain multi-tenant telemetry databases (metrics, logs, traces) for Grafana Cloud. Deliver features end-to-end, participate in on-call rotations, contribute to open-source projects, collaborate remotely, and improve reliability, performance, and scalability of distributed systems running on Kubernetes and major cloud providers.

Lead architecture and multi-quarter initiatives for Tempo, Grafana's distributed tracing backend. Own ingestion, storage, query, APIs, and operational SLOs; mentor engineers, participate in on-call, collaborate with product and sibling teams, and contribute to the open-source project to improve performance, scalability, and AI/agent-friendly interfaces.

Design, build, operate, and maintain scalable alerting backend systems. Drive features end-to-end, contribute to open-source, participate in on-call rotations, mentor teammates, and collaborate remotely to improve reliability, performance, and alert evaluation at scale.