Jobs at Grafana Labs

Own the end-to-end development of Grafana’s experimentation platform, building React and Go features, integrating feature flags and observability tooling, improving statistical analysis, and connecting event pipelines and data warehouses. Partner with analysts, data scientists, engineers, and product stakeholders to deliver a reliable product. Responsibilities include production operations, on-call support, mentoring, architecture documentation, and AI-assisted experimentation workflows.

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.

Build and operate production backend services for an AI-native enterprise context system, including ingestion, indexing, retrieval APIs, multi-tenant SaaS infrastructure, agent integrations, and administration tools. Design scalable architectures, storage and service boundaries; instrument systems with observability; and guide technical direction from prototype through production. Collaborate across product and infrastructure teams while delivering practical LLM- and GenAI-powered solutions in an autonomous environment.

Manage product marketing operations across GTM, Product, Marketing, field, and Enablement teams. Track metrics, report performance, coordinate initiatives, maintain collateral and knowledge bases, and experiment with AI workflows and prototypes. Build dashboards, evaluate AI outputs, support sales enablement, and improve processes that help teams communicate product value and use marketing resources effectively.

Own the vision and roadmap for Grafana Labs’ Application Observability product. Lead customer discovery, prioritize tracing and profiling capabilities, improve adoption and revenue, and integrate App O11y across Grafana Cloud. Collaborate with engineering, design, product marketing, and go-to-market teams on product development, positioning, pricing, packaging, licensing, and tiering. Use customer feedback and usage data to guide priorities and improve product experiences.

Build and evolve Grafana Cloud Database Observability experiences using React and TypeScript, with opportunities to contribute to Go APIs and backend services. Own projects from discovery through rollout, collaborate with product and design teams, mentor engineers, participate in on-call and incident response, support customer escalations, and improve production software. The role emphasizes frontend engineering, technical ownership, user-focused iteration, secure development, testing, and practical use of AI coding tools.

Build buyer-focused technical demos, videos, workshops, and webinars for Grafana Cloud. Enable sales engineers with technical narratives, talk tracks, competitive messaging, and demo guidance. Partner with product marketing, product, sales, developer relations, and engineering teams to communicate observability value to SRE and platform engineering leaders. Automate demo and content workflows using scripts, agents, and AI tools while supporting analyst briefings, conferences, podcasts, and technical communities.

Own product messaging, positioning, go-to-market strategy, lifecycle campaigns, customer research, sales enablement, and product launches for Grafana Labs’ observability products. Partner with product, engineering, and go-to-market teams to create customer-facing materials, train sales teams, and drive adoption, retention, upsell, and cross-sell. The role combines strategic planning, technical content creation, market analysis, and hands-on execution using AI-enabled workflows.

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.

Own technical customer engagements throughout the sales process, partnering with Sales to qualify and close complex opportunities. Deliver product demonstrations, technical presentations, evaluations, and enablement for Grafana products. Translate customer requirements into solutions, communicate product feedback to internal teams, and contribute to documentation, blogs, videos, and knowledge-base content.

Provides hands-on technical consulting for enterprise observability implementations. Partners with customers on onboarding, architecture, migrations, workflow recommendations, training, requirements gathering, workshops, and project execution. Designs scalable solutions using Grafana and related observability technologies, including Kubernetes, metrics, logs, traces, and cloud platforms. Acts as a functional lead and trusted technical advisor while collaborating with Sales, Product, Engineering, Support, and Professional Services teams to improve customer outcomes and product offerings.

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.

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.