Staff Developer Advocacy Engineer | US | Remote

Staff Developer Advocacy Engineer | US | Remote

This is a fully remote position and we're considering candidates in the US.

The Opportunity

Grafana is building the Interactive Learning Plugin: an open source, in-product learning experience inside Grafana that helps users level up without leaving their workflow. We’re hiring a software engineer embedded in Developer Advocacy who ships real product code that directly impacts both Grafana Cloud and Grafana OSS.

This is for an engineer who moves fast with strong judgment, is excited about AI-assisted development in open source, and wants to help build a platform where anyone can contribute high-quality learning content—not just engineers.

Your primary focus will be the open source Interactive Learning Plugin: https://github.com/grafana/grafana-pathfinder-app and its content: https://github.com/grafana/interactive-tutorials 

What You’ll Be Doing

• Build delightful interactive learning inside Grafana
• Ship features that make learning experiences feel obvious, smooth, and scalable.
• Improve the end-to-end learner experience—from onboarding to completion.
• Enable contribution and authoring (especially for non-engineers): create workflows and product features that let many contributors safely create, iterate on, and improve learning content.
• Support private guides and experiences
• Make completion tracking that actually matters
• Build progress and completion tracking that’s trustworthy, motivating, and useful.
• Instrument learning flows so we can understand what’s working, what’s failing, and where learners get stuck.
• Treat observability as a product principle
• Build fast feedback loops (metrics/logs/traces + user journey visibility) so issues stay shallow.
• Make it easy to understand what’s happening in production and in real user experiences.
• Ship fast with an AI-driven development workflow
• Work daily with tools like Claude Code or Cursor in an agent-based workflow.
• Apply strong engineering judgment—scoping, iterating, verifying, and testing—so speed doesn’t compromise quality.

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).

This role includes participation in an on-call rotation as part of our DevOps culture. We believe in end-to-end ownership—those who build the software also help run and support it in production.

What Makes You a Great Fit

We know it’s rare to find everything. You should be strong in at least two of the three areas below:

• AI harness experience (agentic development)
• You’ve used tools like Claude Code or Cursor in real development work (daily or close to it).
• You can describe your workflow (scoping → iterate → validate → test) and how you manage risks like security and correctness.
• Serious software engineering fundamentals
• You can ship production-grade changes and explain tradeoffs.
• You care about architecture, maintainability, correctness, and raising the quality bar (not “vibe coding” alone).
• Grafana context
• You’ve used Grafana in real environments—dashboards, troubleshooting, on-call, or monitoring workflows.
• You understand observability practices and how Grafana fits into them.

You’ll also do a small but meaningful amount of communication work (~20%) which will include writing clear docs, design notes, and PR descriptions, as well as occasionally demo work or explaining decisions to internal/external audiences.

Bonus Points For

• Meaningful open source contribution or maintainer experience
• Full-stack experience (strong frontend-only or backend-only profiles are also welcome)
• TypeScript and/or Go
• Kubernetes familiarity
• Experience in the broader observability ecosystem (Prometheus, Loki, Tempo, Mimir, OpenTelemetry)

Compensation & Rewards

In the United States, the base compensation range for this role is $174,986 - $209,983. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.