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. You will work with engineers, product managers, and the Grafana writing team to produce content for audiences ranging from first-time users to experienced practitioners. The role involves 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 accuracy.
• Contribute to shared AI workflows and improve or automate content creation and maintenance processes as tools and models evolve.
• 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 and following the instructions, identifying product and 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 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, custom prompts, or custom skills, and the ability to explain how their 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.
• Curiosity about AI workflows, strong technical credibility, judgment and 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

The US base compensation range is $123,933–$148,719. Actual compensation may vary based on level, experience, and skillset. Benefits include equity, bonus when applicable, and other company benefits.

Benefits

• 100% remote global culture.
• Career growth pathways.
• In-person onboarding.
• Global annual leave policy of 30 days per annum, including three Grafana Shutdown Days, subject to local legislation.
• Open-source, high-trust, and collaborative work environment.

Grafana Labs is an equal opportunity employer. The company may use AI tools in its recruitment process to assist with matching CV information to job postings, while recruiters continue to manually review applications.