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Salary: USD 123,933 - 148,719 / annual
Grafana Labs is seeking a Staff Technical Writer to create documentation and learning content for Grafana Cloud, a fully managed observability platform trusted by over 10,000 organizations including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce. The role involves planning, researching, writing, and maintaining documentation and learning content (concepts, tasks, tutorials, references, and in-product learning) that supports product adoption and long-term mastery across a range of audiences from first-time users to experienced practitioners.
Key responsibilities include:
- Plan, research, write, and maintain comprehensive documentation and learning content across multiple formats
- Leverage AI tools and workflows (LLM assistants, agentic tools, custom prompts) to work faster and at higher quality while applying human judgment to verify accuracy
- Contribute to the team's shared AI workflows and continuously improve how content is created and maintained as tools evolve
- Partner with engineers, product managers, and subject matter experts to understand product requirements and translate complex technical details into clear, accurate content
- Test documented procedures by running software yourself and flag product and UX gaps
- Use documentation and learning analytics, along with user feedback, to identify content gaps, prioritize work, and demonstrate impact
- Collaborate with the documentation manager and team to improve information architecture, voice, and consistency across documentation
- Manage multiple projects simultaneously, using sound judgment to prioritize and communicate clearly when plans change
- Mentor teammates and share practices that elevate the quality of the team's work
Grafana Labs is a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, and others. The company is built on open-source foundations with over 700,000 active Grafana installations globally. The team operates with transparency, autonomy, and trust in an innovation-driven environment.
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 your writing workflow (LLM assistants, agentic coding tools, custom prompts and skills) with ability to explain how you evaluate and verify their output
- Experience working with docs-as-code: command-line Git, GitHub (pull requests and reviews), Markdown, and common IDEs
- Comfort working in technical environments; ability to set up, run, and troubleshoot software yourself to verify documentation (command line, containers, 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
- Bonus: Experience with observability, monitoring, cloud-native tooling, or contributing to open-source documentation
Desired attributes include curiosity about AI as a craft, technical credibility with strong accuracy focus, excellent judgment and editing skills, ownership mindset, and ability to write concisely and clearly for readers of all experience levels.
