Grafana Labs - Engineering Manager

• 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 Adaptive Telemetry group 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). • What are we looking for in you? • 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, 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.