Senior Engineering Manager, Grafana Labs

• Demonstrable experience building and managing on-prem/bare metal environments
• A motivated self-starter with a strong bias toward action and ownership, able to navigate ambiguity and drive work forward in complex problem spaces
• Comfortable collaborating across time zones and cultures in a fully remote environment, using clear, empathetic communication to build trust, connection, and psychological safety
• Experienced in guiding and supporting other engineers, leading initiatives or small teams, and collaborating effectively to drive projects to successful outcomes
• Demonstrated ability to manage complexity, align stakeholders, and elevate team performance to deliver meaningful, high-quality results
• Deeply customer-focused, consistently grounding decisions and technical choices in user needs and real-world impact
• Solid understanding of distributed systems principles, including scalability, fault tolerance, consistency, production-readiness, and observability
• Comfort with AI-assisted tooling. We embrace AI and agentic development, so we expect you to be curious and comfortable using AI-powered tools and ideally have practical experience folding them into a team’s workflow
• You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity

Desirable

• Grafana Cloud moves millions of metrics, log lines, and traces per second from our customers' environments into a highly available, low-latency stack that processes and stores this data, and serves them to dashboards and alerting tools
• We aim to grow this to hundreds of millions per second, and it's critical that as we grow, we improve our performance, increase our reliability, and, of course, do it efficiently and effectively
• The Internal Engineering Platform (IEP) delivered by the Platform group provides application engineers with the tools, systems and Kubernetes clusters they need to build, deploy and run their workloads
• We are hiring a manager as part of the creation of a new Platform “Metal” squad
• This squad will be responsible for building and provisioning resources including storage, networking and Kubernetes clusters in new environments, starting with our own physical hardware
• They will provide a Kubernetes control plane and underlying resources, outside public Cloud, to the rest of Engineering
• Hire, manage, and develop a team of engineers, providing regular feedback and supporting each person’s growth through career conversations
• Collaborate closely with product, design, and engineering leadership to define goals that move the squad forward and align with broader business objectives
• Provide guidance throughout the project lifecycle from early ideation through planning, execution, and post‑launch, guiding the team to deliver high‑quality results consistently
• Foster a psychologically safe environment where engineers can learn, experiment, and iterate quickly, encouraging innovation and a culture of continuous improvement
• Work across team boundaries by contributing to projects outside your team’s scope and partnering with other functions to solve customer problems
• We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction
• We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards
• You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro)