Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
Git @ 4
GitHub @ 4
Grafana @ 4
Kubernetes @ 6
LLM @ 4
Observability @ 1
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Grafana Labs is looking for a Staff Technical Writer to create documentation and learning content that helps users adopt and master Grafana’s observability products. The role involves working with engineers, product managers, and the Grafana writing team to produce content for audiences ranging from first-time users to experienced practitioners. The team uses AI-assisted workflows throughout the content lifecycle, including research, drafting, review, validation, and maintenance.
Responsibilities
- Plan, research, write, and maintain documentation and learning content, including concepts, tasks, tutorials, references, and in-product learning.
- Use AI tools and workflows for drafting, structuring, technical validation, consistency checks, and content maintenance, applying human judgment to verify accuracy.
- Contribute to shared AI workflows and improve or automate content creation and maintenance processes.
- Partner with engineers, product managers, and other stakeholders to understand product requirements and interview subject matter experts.
- Translate complex technical details into clear, accurate content.
- Test documented procedures by running software and following instructions, while identifying product and user experience gaps.
- Use documentation and learning analytics, along with user feedback, to identify content gaps, prioritize work, and measure impact.
- Improve information architecture, voice, and consistency across documentation.
- Manage multiple projects, prioritize effectively, and communicate clearly when plans change.
- Mentor teammates and share practices that improve the quality of the team’s work.
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 writing workflows, such as LLM assistants, agentic coding tools, or custom prompts and skills.
- Ability to evaluate and verify AI-generated output.
- Experience with docs-as-code, including command-line Git, GitHub pull requests and reviews, Markdown, and common IDEs.
- Comfort working in technical environments and setting up, running, and troubleshooting software to verify documentation, including command-line tools, containers, or Kubernetes, or the willingness to learn quickly.
- Experience collaborating with engineers and product managers to obtain accurate technical information.
- Experience working remotely and asynchronously on a distributed team.
- Strong curiosity about AI workflows and the ability to identify where AI is useful and where it is not.
- Technical credibility, strong judgment, editing skills, ownership, and the ability to write clearly and concisely for readers of all experience levels.
- Bonus: Experience with observability, monitoring, cloud-native tooling, or open-source documentation.
Compensation
In Spain, the base compensation range is EUR 73,000–88,000 per year. Actual compensation may vary based on level, experience, and skill set. Benefits include equity, a bonus if applicable, and other company benefits.
Benefits
- 100% remote global culture.
- Career growth pathways.
- Equity and bonus if applicable.
- 30 days of annual leave per year, including three Grafana Shutdown Days, subject to local legislation.
- In-person onboarding.
- Open-source, collaborative, and high-trust work environment.
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