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. 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. The successful candidate will use these tools daily, apply human judgment to AI-generated content, and help improve the team’s AI workflows.

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.
• 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 turn complex technical details into clear, accurate content.
• Test documented procedures by running the software, following procedures, and identifying product and user experience gaps.
• Use documentation and learning analytics, along with user feedback, to identify content gaps, prioritize work, and measure impact.
• Work with the documentation manager and other writers to improve information architecture, voice, and consistency across documentation.
• Make information easy to find for people, AI-driven search, and assistants.
• Manage multiple projects, prioritize work, 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.
• Ability to explain how AI-generated 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 and the ability to experiment with, evaluate, and share effective practices.
• Technical credibility, strong judgment, and strong editing skills.
• Ability to manage multiple projects independently and collaboratively.
• Ability to write concisely and clearly for readers of all experience levels.
• Bonus: Experience with observability, monitoring, cloud-native tooling, or open-source documentation.

Compensation and Benefits

• Base compensation in the Republic of Ireland: EUR 92,000–110,000 per year.
• Benefits include equity, bonus where applicable, and other company benefits.
• 100% remote global culture.
• Career growth pathways.
• In-person onboarding.
• Global annual leave policy of 30 days per annum, with 3 days reserved for Grafana shutdown days, subject to local legislation.

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