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Salary: EUR 109,000 - 137,000 / annual
Grafana Labs is seeking an Engineering Manager for the Observability Ingest team, a remote role based in EMEA (Germany, Sweden, Spain, Ireland, or UK). The Ingest team builds and maintains configuration and deployment tooling that bridges the gap between "I want observability" and "I have observability." The team owns Fleet Management (a cloud-based central control plane for managing hundreds of thousands of Observability Collectors), the Kubernetes Monitoring Helm Chart (for deploying observability collection in Kubernetes environments), and the Instrumentation Hub (which combines Fleet Management and the Helm Chart for a seamless 1-command instrumentation experience).
You will manage and develop a team of backend and frontend engineers distributed across EMEA and North America, providing regular feedback and supporting career growth. Key responsibilities include collaborating with go-to-market teams to ensure customer success, working with product and engineering leadership to integrate Fleet Management and related tools into the end-to-end Grafana Cloud experience, guiding projects from ideation through post-launch, fostering psychological safety and continuous improvement, and working across team boundaries to solve customer problems.
Grafana Labs is a 100% remote, globally distributed company with 40+ countries represented. The company is backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Customers include Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce. The company invests heavily in developer productivity, including modern AI coding assistants (OpenAI, Anthropic, Google) with company-funded usage budgets and pragmatic AI-assisted development practices.
REQUIREMENTS:
- Experience in observability (especially OpenTelemetry) or building a central control plane that manages fleets of collectors is a strong advantage
- Comfort working with engineering teams that have strong autonomy in technical and product-focused decision-making
- Strong people skills and relationship management while maintaining up-to-date technical knowledge of challenges your teams face
- Ability to collaborate across time zones and cultures in a fully remote environment with clear, empathetic communication
- Demonstrated ability to manage complexity, align stakeholders, and elevate team performance
- Deep customer focus, grounding decisions in user needs and real-world impact
- Solid understanding of distributed systems principles (scalability, fault tolerance, consistency, observability)
- Comfort with AI-assisted tooling and practical experience integrating AI-powered tools into team workflows
