Staff Technical Writer

Details

Grafana Labs is looking for a Staff Technical Writer to create documentation and learning content that helps people adopt and master Grafana’s observability products. You’ll work with engineers, product managers, and the Grafana writing team to produce content for products and audiences ranging from first-time users to experienced practitioners. The role requires learning new technical domains quickly and using AI-assisted workflows throughout the content lifecycle.

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. Apply human judgment and take responsibility for the accuracy of AI-generated content.
• Contribute to shared AI workflows and skills, and improve or automate content creation and maintenance processes.
• Partner with engineers, product managers, and other stakeholders to understand product requirements, interview subject matter experts, and turn complex technical details into clear, accurate content.
• Test documented procedures by running the software, following the procedures, and identifying product or user experience gaps.
• Use documentation and learning analytics, together with user feedback, to identify content gaps, prioritize work, and demonstrate impact.
• Collaborate with the documentation manager and other writers to improve information architecture, voice, consistency, and discoverability for people and AI-driven search and assistants.
• Manage multiple projects, prioritize work, 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 a writing workflow, such as LLM assistants, agentic coding tools, or custom prompts and skills. Ability to explain how AI output is evaluated and verified.
• Experience with docs-as-code, including command-line Git, GitHub pull requests and reviews, Markdown, and common integrated development environments.
• 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.

Skills and Qualifications

• Curiosity about AI workflows as a professional skill, including experimentation, knowledge sharing, and understanding where AI is and is not effective.
• Technical credibility, accuracy, and the ability to learn new technical domains quickly.
• Strong judgment and editing skills.
• Ability to manage multiple projects independently and collaboratively.
• Ability to write concisely and plainly for readers of all experience levels.
• Bonus: Experience with observability, monitoring, cloud-native tooling, or open-source documentation.

Compensation

The base compensation range in Sweden is SEK 686,000–824,000 per year. Actual compensation may vary based on level, experience, and skill set. Benefits include equity, bonus where applicable, and other benefits.

Benefits

• 100% remote, global culture.
• Career growth pathways.
• In-person onboarding.
• Global annual leave policy of 30 days per year, including three Grafana Shutdown Days, subject to local legislation.
• Equity, bonus where applicable, and other benefits.
• Transparent communication, empowered teams, and an open-source culture.

Grafana Labs is an equal opportunities employer.