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Salary: EUR 92,000 - 110,000 / annual
Grafana Labs is seeking a Staff Technical Writer to create documentation and learning content for its observability platform, trusted by over 10,000 organizations including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce. You will work across a range of Grafana products (Grafana Cloud, Loki, Tempo, Mimir) to produce content for diverse audiences, from first-time users to experienced practitioners.
Key Responsibilities:
- Plan, research, write, and maintain documentation and learning content (concepts, tasks, tutorials, references, in-product learning) that supports product adoption and mastery
- Leverage AI tools and workflows throughout the content lifecycle—drafting, structuring, technical validation, consistency checks, and content maintenance—while applying human judgment to verify accuracy
- Contribute to the team's shared AI workflows and help improve automation as tools and models evolve
- Partner with engineers, product managers, and subject matter experts to understand requirements and translate complex technical detail into clear, accurate content
- Test software and procedures hands-on; flag product and UX gaps discovered during documentation
- Use docs and learning analytics, along with user feedback, to identify content gaps, prioritize work, and measure impact
- Collaborate with the documentation manager and other writers to improve information architecture, voice, consistency, and discoverability across documentation
- Manage multiple projects simultaneously, using sound judgment to prioritize and communicate when plans change
- Mentor teammates and share practices that elevate team quality
Grafana Labs is a 100% remote, globally distributed company with 40+ countries represented. The company is backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital.
Requirements:
- Experience writing or documenting enterprise or developer-facing software, with a portfolio or writing samples demonstrating technical depth
- Hands-on experience using AI tools and models in your writing workflow (LLM assistants, agentic coding tools, custom prompts), with ability to explain how you evaluate and verify their output
- Experience with docs-as-code: command-line Git, GitHub (pull requests and reviews), Markdown, and common IDEs
- Comfort working in technical environments; ability to set up, run, and troubleshoot software yourself (command line, containers, Kubernetes, or willingness to learn quickly)
- Experience collaborating with engineers and product managers to obtain accurate technical information
- Experience working remotely and asynchronously on distributed teams
- Bonus: Experience with observability, monitoring, cloud-native tooling, or open source documentation contributions
