Senior Engineering Manager, Grafana Backend | Canada | Remote

Requirements

• 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.
• 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 ).
• In Grafana Backend, our mission is to evolve the backend of the Grafana visualization product by architecting and delivering an exceptional Grafana core platform that supports our high demand service.
• The majority of our work is on OSS Grafana, but we also work closely with customers of our commercial offerings.
• Close collaboration with Product, Docs and Customer
• This is not an exhaustive list, and we know that people can have a wealth of knowledge in their individual backgrounds. A list of some of the things we think would be ideal in this role are:
• The core focus of the role is people. Technical skills are desirable in order to understand some of our stack and manage a highly technical team (we primarily work with Go on back-end development).
• You have a strong software engineering background and are capable of engaging in technical conversations and challenge teams to arrive at strong technical decisions together.
• You are comfortable working with engineering teams who have a strong sense of autonomy in their decision making, be it technical or product focussed.
• While you’re great with people and adept at managing relationships, you still keep up-to-date with the latest technical trends and shifts in order to maintain and enhance your understanding of the challenges your teams face.
• 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).
• OSS is in our DNA, and as such working with the community is something that happens regularly for us. We default to transparency and try to be as open with everyone.