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Salary: SEK 878,000 - 1,098,000 / annual
Grafana Labs is seeking an Engineering Manager to lead the Ingest team within the Observability department. 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).
In this role, 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 through meaningful conversations. You'll collaborate closely with go-to-market teams to ensure customers and prospects succeed with their observability collection journey, and work with product and engineering leadership to ensure Fleet Management, the Kubernetes Helm Chart, and Instrumentation Hub integrate seamlessly into the end-to-end Grafana Cloud user experience.
You will provide guidance throughout the project lifecycle from ideation through planning, execution, and post-launch, guiding the team to deliver high-quality results consistently. You'll foster a psychologically safe environment where engineers can learn, experiment, and iterate quickly, encouraging innovation and continuous improvement. The role requires working across team boundaries, contributing to projects outside your team's scope, and partnering with other functions to solve customer problems.
Grafana Labs is a 100% remote, globally distributed company with team members across 40+ countries. 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, providing access to modern AI coding assistants (OpenAI, Anthropic, Google) with company-funded usage budgets and encourages 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 who have strong autonomy in technical and product-focused decision-making
- Strong people skills and ability to manage relationships while staying current with technical trends and understanding team challenges
- Demonstrated ability to collaborate across time zones and cultures in a fully remote environment using clear, empathetic communication to build trust and psychological safety
- Proven ability to manage complexity, align stakeholders, and elevate team performance to deliver meaningful, high-quality results
- Deeply customer-focused approach, grounding decisions and technical choices in user needs and real-world impact
- Solid understanding of distributed systems principles including scalability, fault tolerance, consistency, and observability
- Comfort with AI-assisted tooling and practical experience integrating AI-powered tools into team workflows
