Staff Technical Writer | Remote | USA

Grafana Labs

6d • $123,933 - $148,719 • Remote

About The Position

Grafana Labs is hiring a Staff Technical Writer to create documentation and learning content that helps people adopt and master Grafana’s observability products. The writer will work with engineers, product managers, stakeholders, and the writing team to produce content for audiences ranging from first-time users to experienced practitioners, adapting quickly as products and priorities evolve.

The role uses AI-assisted workflows and tools throughout the content lifecycle, including research, drafting, review, validation, and maintenance. The writer is expected to evaluate AI output critically, take responsibility for accuracy, contribute to shared AI practices, and help improve or automate content creation and maintenance.

The position also involves testing documented software and procedures, using analytics and user feedback to guide priorities, improving documentation information architecture and consistency, managing several projects, and mentoring teammates. The role is remote and the posting specifies the U.S. base compensation range as $123,933–$148,719; compensation varies by location, experience, and skillset.

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, and ability to explain how their outputs are evaluated and verified.
• Experience with docs-as-code, including command-line Git, GitHub pull requests and reviews, Markdown, and common IDEs.
• Comfort working in technical environments and ability to set up, run, and troubleshoot software to verify documentation, such as using a command line, containers, or Kubernetes, or 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 as a professional skill, including experimenting and sharing what works and understanding where AI is and is not useful.
• Technical credibility, care for accuracy, ability to learn technical domains quickly, and willingness to ask questions until the subject is understood.
• Strong judgment and editing skills, including the ability to distinguish reliable content from plausible-sounding content and maintain quality.
• Ownership and ability to manage multiple projects independently and collaboratively.
• Ability to write concisely and plainly for readers with varying levels of experience.

Nice To Haves

• Experience with observability, monitoring, or cloud-native tooling.
• Experience contributing to open source documentation.

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 ensure accuracy.
• Contribute to shared AI workflows and skills and identify opportunities to improve or automate content creation and maintenance.
• Partner with engineers, product managers, and other stakeholders to understand product requirements, interview subject matter experts, and explain complex technical details clearly and accurately.
• Run and test the software and follow documented procedures to verify content and identify product or UX gaps.
• Use documentation and learning analytics, along with user feedback, to identify content gaps, prioritize work, and assess the impact of published content.
• Work with the documentation manager and other writers to improve information architecture, voice, consistency, and findability 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.

Benefits

• Equity.
• Bonus, if applicable.
• Global annual leave policy of 30 days per annum, with three days reserved for Grafana Shutdown Days, subject to local legislation.
• Career growth pathways and opportunities to grow and develop.
• In-person onboarding.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed