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Salary: EUR 73,000 - 88,000 / 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 Grafana's product suite (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) supporting product adoption and mastery
- Leverage AI tools and workflows throughout the content lifecycle—drafting, structuring, validation, consistency checks, and maintenance—while applying human judgment to verify accuracy
- Contribute to team AI workflows and identify opportunities to improve and automate content creation as tools evolve
- Partner with engineers, product managers, and subject matter experts to translate complex technical details into clear, accurate content
- Test documented procedures by running software yourself and flagging product and UX gaps
- Use documentation and learning analytics, along with user feedback, to identify content gaps, prioritize work, and demonstrate impact
- Collaborate with the documentation manager and writing team to improve information architecture, voice, and consistency across docs
- Manage multiple concurrent projects, using sound judgment to prioritize and communicate when plans change
- Mentor teammates and share practices that elevate team quality
The role is fully remote within the EU, part of a 100% remote company with team members across 40+ countries. Grafana Labs 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/skills) and 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
Desired Traits:
- Curiosity about AI as a craft; treat AI workflows as a professional skill
- Technical credibility; care about accuracy and learn new technical domains quickly
- Strong judgment and editing skills; distinguish good content from plausible-sounding content
- Ownership mindset; manage multiple projects independently and collaboratively
- Clear, concise writing for readers of all experience levels
