Engineering Manager, Observability Dept | Sweden | Remote

Grafana Labs Grafana Labs · Data AI · United States · Remote · R&D: Observability

Engineering Manager for Grafana's Observability department, focusing on Grafana Alloy (an OpenTelemetry collector distribution). The role involves managing a remote team, fostering collaboration with the OpenTelemetry community, and ensuring seamless integration with Grafana Cloud products. While the role itself is not directly building AI models, it emphasizes the use of AI-assisted tooling for development.

What you'd actually do

  1. Manage and develop the team of Alloy engineers, providing regular feedback and supporting each person’s growth through career conversations. This is a remote team, distributed between EMEA and NASA.
  2. Support the Alloy team on their path to closer collaboration with the OpenTelemetry collector community. Address roadblocks.
  3. Collaborate closely with go-to-market to ensure customers and prospects are successful with their Alloy journey.
  4. Work closely with product and engineering leadership to ensure Alloy fits seamlessly into the end-to-end user experience for Grafana cloud products.
  5. Provide guidance throughout the project lifecycle from early ideation through planning, execution and post‑launch guiding the team to deliver high‑quality results consistently.

Skills

Required

  • Domain knowledge in observability and OpenTelemetry
  • Manage a team that will collaborate closely with the OpenTelemetry collector community
  • Comfortable working with engineering teams who have a strong sense of autonomy
  • Keep up-to-date with the latest technical trends and shifts
  • Comfortable collaborating across time zones and cultures in a fully remote environment
  • Demonstrated ability to manage complexity, align stakeholders, and elevate team performance
  • Deeply customer-focused
  • Solid understanding of distributed systems principles, including scalability, fault tolerance, consistency, and observability

Nice to have

  • Curious and comfortable using AI-powered tools

What the JD emphasized

  • Comfort with AI-assisted tooling
  • practical experience folding them into a team’s workflow