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Staff Technical Writer | Remote | Canada

Create documentation and learning content for Grafana's observability products in a fully remote role.

Location
Canada
Compensation
CA$145k–CA$178k/yr
Level
staff
Type
full time · Remote

Posted by employer 7 hours ago

First seen on Joblaze 1 hour ago

Last verified on the company career page 1 hour ago

What you'll build

  • Plan, research, write, and maintain documentation
  • Use AI tools and workflows to work faster
  • Partner with engineers and PMs for accurate content
  • Test software and document procedures
  • Mentor teammates and improve team practices

Must have

  • Experience writing or documenting enterprise or developer-facing software
  • Hands-on experience using AI tools in writing workflow
  • Experience working with docs-as-code
  • Comfort working in technical environments
  • Experience collaborating with engineers and product managers

Nice to have

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

AI in the day-to-day

We use AI-assisted workflows and tools throughout the content lifecycle.

Not disclosed in this posting: years of experience, visa sponsorship.

Benefits

Education Budget Equity/Stock Options Remote Work Parental Leave

Joblaze summary

The Staff Technical Writer at Grafana Labs is responsible for creating and maintaining documentation and learning content that aids users in mastering the company's observability products. This role requires proficiency in AI tools and a solid understanding of technical writing, particularly for enterprise or developer-facing software. It is well-suited for someone with experience in technical environments and a collaborative mindset, as the position involves working closely with engineers and product managers. Grafana Labs fosters a remote, innovation-driven culture that values transparency and autonomy.

Joblaze insights

  • Listed today — first seen on Joblaze October 20, 2026. Last confirmed on Grafana Labs's careers page October 20, 2026.
  • Starts above 5% of 105 comparable staff other roles we track (median $170,000 across 40 companies).

Quick facts

Is the Staff Technical Writer | Remote | Canada role remote?
Yes — Grafana Labs lists this as a fully remote position.
What's the salary range?
Grafana Labs lists CAD 145,000–CAD 178,000 for this role.
What's the tech stack?
Joblaze extracted these technologies from the posting: AI, Git, GitHub, Grafana, Kubernetes, Markdown.
What seniority level is this role?
Grafana Labs targets staff-level candidates for this position.
Is this full-time or contract?
Full-time for this Staff Technical Writer | Remote | Canada role at Grafana Labs.

From the original posting

Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X.

About Grafana Labs:

There are more than 700,000 active installations of Grafana around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a SpaceX launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps companies including Bloomberg, JPMorgan Chase, and eBay manage their observability strategies with full-stack offerings that can be run fully managed with Grafana Cloud, or self-managed with Grafana Enterprise Stack. The Grafana stack has grown to include more open-source projects, including Grafana Loki (for logs) and Grafana Tempo (for traces) and Grafana Mimir (for metrics).

Description of Duties

We’re looking for a Staff Technical Writer to create documentation and learning content that helps people adopt and master Grafana’s observability products. You’ll work with engineers, product managers, and the Grafana writing team to produce content for a range of products and audiences, from first-time users to experienced practitioners. Because our products and priorities evolve, we’re looking for someone who learns new technical domains quickly.

AI is part of how this team works. We use AI-assisted workflows and tools throughout the content lifecycle, from research and drafting to review, validation, and maintenance. You’ll use these tools every day and help the team get better at using them.

Key Responsibilities

  • Plan, research, write, and maintain documentation and learning content (concepts, tasks, tutorials, references, and in-product learning) that supports adoption and long-term product mastery.
  • Use AI tools and workflows to work faster and at a higher quality: drafting, structuring, technical validation, consistency checks, and keeping content current. You apply human judgment to everything AI produces and take responsibility for its accuracy.
  • Contribute to the team’s shared AI workflows and skills, and look for ways to improve and automate how we create and maintain content as tools and models evolve.
  • Partner with engineers, PMs, and other stakeholders to understand product requirements, interview subject matter experts, and turn complex technical detail into clear, accurate content.
  • Test what you document. Run the software, follow your own procedures, and flag product and UX gaps you find along the way.
  • Let data guide your priorities. We have strong docs and learning analytics. You’ll use them, along with user feedback, to find content gaps, prioritize your work, and show the impact of what you ship.
  • Work with the documentation manager and other writers to improve information architecture, voice, and consistency across our docs, and to make information easy to find for both people and AI-driven search and assistants.
  • Manage several projects at once, using judgment to prioritize and communicate clearly when the plan changes.
  • Mentor teammates and share practices that raise the quality of the team’s work.

Requirements

What experience would make someone be successful in this role?

  • Experience writing or documenting enterprise or developer-facing software, with a portfolio or writing samples that show technical depth.
  • Hands-on experience using AI tools and models in your writing workflow (such as LLM assistants, agentic coding tools, or custom prompts and skills), and the 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. You can set up, run, and troubleshoot software yourself to verify what you write (for example, command line, containers, or Kubernetes, or a willingness to learn quickly).
  • Experience collaborating with engineers and product managers to get accurate technical information.
  • Experience working remotely and asynchronously on a distributed team.

What you’ll bring to the role

  • Curiosity about AI as a craft. You treat AI workflows as a professional skill. You experiment, share what works, and know where AI helps and where it doesn’t.
  • Technical credibility. You care about accuracy, you learn new technical domains quickly, and you ask questions until you understand them.
  • Strong judgment and editing skills. You can tell good content from plausible-sounding content, and you hold the line on quality.
  • Ownership. You manage multiple projects and work well both independently and collaboratively.
  • Clarity. You write concisely and plainly for readers of all experience levels.
  • Bonus: Experience with observability, monitoring, or cloud-native tooling, or contributing to open source documentation.

Equal Opportunity Employer
At Grafana Labs we’re building a company where a diverse mix of talented people want to come, stay, and do their best work. We know that our company runs on the hard work and the dedication of our passionate and creative employees.

In Canada, the Base compensation range for this role is CAD 145,000 - 178,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.

*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process

What you’ll bring to the role

You’re an enthusiast for technically accurate content, you’re unafraid of managing multiple projects, and you enjoy working both collaboratively and independently. You have a well-used copy of “The Elements of Style”.

In Canada, the Base compensation range for this role is $120,927 CAD - $145,113 CAD. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.

*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process

*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.

#LI-Remote

Standard company text repeated across Grafana Labs's postings is omitted here.

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