出海雷达

Staff Technical Writer | Remote | Canada

其他限定地区(需当地身份)
公司Grafana Labs
薪资未公开
工作地点Canada (Remote)
地域资格限定地区(需当地身份)
时区要求无特别要求
用工类型未标注
发布时间今天
数据来源Greenhouse
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注意地域限制:该职位明确限定在 Canada (Remote) 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
关于本页中文:职位描述由本机离线模型翻译,属机器翻译,供快速判断用;正式沟通与投递请以英文原文为准。官方翻译通道恢复后会自动重译升级。

格拉法纳实验室是 Grafana Cloud 背后的公司,该平台由10,000多家组织信任以确保可靠性,更快地解决事件和规模上优化远程测量。基于开源和开放标准,并旨在跨越任何堆进行互操作,Grafana Cloud 将 AI 带来可观看性和可观测性,使人工智能能够让团队 (及其代理)有统一的可见性,以便他们可以看到,理解和根据其不同数据采取行动,无论它生活在哪里,并且按照他们的野心速度移动。包括人类学,博伦布日,NVIDIA,微软和销售力量等客户依赖于 Grafana Labs. 我们是一个100%远程公司,拥有40多个国家的团队成员,由 Lightspeed Venture Partners,Sequoia Capital,GIC,Coatue,JP Morgan,CapitalG 和 Lead Edge Capital 等领先投资者支持。在 grafana.com 了解更多并在 LinkedIn 和 X 上关注我们。我们正在快速扩大规模并坚持不同之处:开源遗产,全球合作文化以及对有意义的工作热情。我们的团队在创新驱动的环境中壮成长,透明度,自治和信任推动了我们所做的一切。你可能无法满足每一个要求,这很好。如果你喜欢这个角色,我们很想让你为真正的职业生涯决定性机会举起手。关于 Grafana Labs:全球有超过700,000个 Grafana 的活跃安装设备,监控从蜂巢到阿尔卑斯山气候变化等一切。即时可识别的仪表板已经在 SpaceX 发射和 Minecraft 总部至温布尔登和法国巡回赛区各地被发现了。Grafana Labs 还帮助 Bloomberg,JPMorgan Chase 和 eBay 等公司管理其观察力策略,使用全堆供应,可以完全通过 Grafana Cloud 进行运行或自主管理。格拉法纳堆已经扩大到包括更多的开源项目,包括 Grafana Loki (日志)和 Grafana Tempo (痕迹)和 Grafana Mimir (指标).职责描述 我们正在寻找一名工作人员技术作家来创建帮助人们采用和掌握 Grafana 观测产品的文档和学习内容。你将与工程师,产品经理以及 Grafana 编写团队合作,为一系列产品和受众制作内容,从初学者用户到有经验的实践者。因为我们的产品和优先事项不断发展,我们正在寻求

查看英文原文

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.

We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.

You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.

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.

Why You’ll Thrive at Grafana Labs:

  • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
  • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment.
  • Transparent Communication – Expect open decision-making and regular company-wide updates.
  • Innovation-Driven – Autonomy and support to ship great work and try new things.
  • Open Source Roots – Built on community-driven values that shape how we work.
  • Empowered Teams – High trust, low ego culture that values outcomes over optics.
  • Career Growth Pathways – Defined opportunities to grow and develop your career.
  • Approachable Leadership – Transparent execs who are involved, visible, and human.
  • Passionate People – Join a team of smart, supportive folks who care deeply about what they do.
  • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
  • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable.

Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.

Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.

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