Staff Technical Writer

New

Grafana LabsObservability software

Remote | USAFull-TimeStaff

SalaryIn the US, the Base compensation range for this role is $123,933 - $148,719.

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Job Details

Experience writing or documenting enterprise or developer-facing software, supported by a portfolio or writing samples showing technical depth.
Hands-on experience using AI tools and models in a writing workflow, and 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 IDEs.
Ability to set up, run, and troubleshoot software in technical environments, such as the 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, including experimenting and sharing effective practices.
Technical credibility, attention to accuracy, and ability to learn new technical domains quickly.
Strong judgment and editing skills, with a focus on content quality.
Ability to manage multiple projects independently and collaboratively.
Ability to write clearly and concisely for readers with different experience levels.
Bonus: experience with observability, monitoring, or cloud-native tooling, or contributing to open-source documentation.

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, while verifying their output.
Contribute to shared AI workflows and improve or automate content creation and maintenance.
Partner with engineers, product managers, and stakeholders to gather requirements and turn technical detail into accurate content.
Run the software and follow documented procedures to test content and identify product or UX gaps.
Use documentation analytics and user feedback to identify content gaps, prioritize work, and assess impact.
Improve information architecture, voice, and consistency across documentation, including findability for people and AI-driven search.
Manage multiple projects and communicate when priorities or plans change.
Mentor teammates and share practices that improve team output.

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