Engineering Manager - Adaptive Telemetry | USA | Remote

Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies - including Bloomberg, JPMorgan Chase, and eBay - manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with Grafana Cloud or self-managed with the Grafana Enterprise Stack, both featuring scalable metrics (Grafana Mimir), logs (Grafana Loki), and traces (Grafana Tempo). We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. 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. This is a remote position. We are looking for candidates in the United States time zones. What is Grafana Cloud? Grafana Cloud is our composable observability platform that integrates metrics, logs, traces, and profiles with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, Tempo, and Pyroscope – without the overhead of installing, maintaining and scaling their own observability stack. The Databases department owns and operates the telemetry databases that are Mimir for metrics, Loki for logs, Tempo for traces, and Pyroscope for profiles. We offer our databases as a Cloud service supporting Grafana Cloud. The Opportunity: The Adaptive Telemetry group, part of the Databases department, has the mission of ensuring that all telemetry stored in our databases is worthy of attention. Under that mission, the group is responsible for the development of Adaptive Metrics, Adaptive Logs, Adaptive Traces and Adaptive Profiles. Our Adaptive Telemetry solutions give users the ability to control and optimize their telemetry data. These solutions ensure that data storage is optimized based on individual usage patterns, so only the most valuable data is retained. As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. What You'll Be Doing: • 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. 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