Staff Technical Writer

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. AI-assisted workflows and tools are used 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, interview subject matter experts, and explain complex technical details clearly.
• Test documented procedures by running the software and identifying product and user experience gaps.
• Use documentation and learning analytics, as well as 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 for users and AI-driven search tools.
• Manage multiple projects, prioritize effectively, and communicate clearly when plans change.
• Mentor teammates and share practices that improve 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, custom prompts, or skills, including the ability to evaluate and verify their output.
• 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 Qualities

• Curiosity about AI workflows and the ability to experiment with, evaluate, and share effective practices.
• Technical credibility, strong accuracy standards, and the ability to learn new technical domains quickly.
• Strong judgment and editing skills.
• Ownership of multiple projects and the ability to work independently and collaboratively.
• Ability to write concisely and clearly for readers at all experience levels.
• Bonus: experience with observability, monitoring, cloud-native tooling, or open-source documentation.

Benefits

• Equity and bonus, if applicable.
• 100% remote, global work environment.
• Career growth pathways.
• 30 days of annual leave per annum, including three Grafana shutdown days, subject to local legislation.
• In-person onboarding.

Grafana Labs is an equal opportunities employer. The company may utilize AI tools in its recruitment process to assist in matching CV information to job postings, while the recruitment team continues to manually review applications.