Cloud & Infrastructure Documentation Jobs

<div class="content-intro"><h2><strong>About Anthropic</strong></h2> <p>Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p></div><p>The Editorial Publishing team is looking for a team member to write, edit, and review material that Anthropic publishes about its own systems, including model cards, risk reports, safety and security reports, and other technical material. You’ll have a front-row seat to some of the most consequential material a frontier AI lab produces, working cross-functionally with teams like Alignment, Interpretability, Safeguards, Policy, and Legal to produce rigorous reports on tight timelines.</p> <p>You’ll be describing model behavior, training environments, evaluation methods, and their limitations, and must be legible to both technical experts and general-public readers. The ideal candidate brings clarity and structure to complex writing and editing processes involving many stakeholders.</p> <h2>Key responsibilities</h2> <ul> <li>Write and edit technical public-facing reports and blogs for Anthropic</li> <li>Takes pieces from inception to publication on short deadlines</li> <li>Solicit input from partner teams across Anthropic, while preserving narrative clarity</li> </ul> <h2>Minimum qualifications</h2> <ul> <li>Strong alignment with our mission and experience working in AI safety </li> <li>Strong writing and editing skills, with a portfolio of published work that demonstrates an ability to explain technical subjects to non-specialist readers</li> <li>Familiarity with how frontier AI systems are trained, evaluated, and deployed</li> <li>A track record of shipping accurate, polished work on short deadlines and under pressure</li> <li>Ability to work with subject matter experts to understand technical concepts and fact-check assertions</li> <li>Strong judgement about how to incorporate legal, policy, and reputational considerations into the work</li> <li>Comfort taking ownership in a fast-moving environment where processes are still taking shape</li> </ul> <h2>Preferred qualifications</h2> <ul> <li>Experience writing or editing safety or security reports, postmortems, transparency reports, or similar public disclosures</li> <li>Experience as a technical writer or editor at a technology company or research lab</li> <li>Comfort working in a content management system (CMS) and publishing web content</li> <li>Experience using AI tools like Claude to streamline editorial processes</li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>The annual compensation range for this role is listed below. </p> <p>For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p></div><div class="title">Annual Salary:</div><div class="pay-range"><span>$265,000</span><span class="divider">—</span><span>$295,000 USD</span></div></div></div><div class="content-conclusion"><h2><strong>Logistics</strong></h2> <p><strong>Minimum education: </strong>Bachelor’s degree or an equivalent combination of education, training, and/or experience</p> <p><strong>Required field of study: </strong>A field relevant to the role as demonstrated through coursework, training, or professional experience</p> <p><strong>Minimum years of experience: </strong>Years of experience required will correlate with the internal job level requirements for the position</p> <p><strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p> <p><strong data-stringify-type="bold">Visa sponsorship:</strong> We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p> <p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.<br><br><strong data-stringify-type="bold">Your safety matters to us.</strong> To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit <u data-stringify-type="underline"><a class="c-link c-link--underline" href="http://anthropic.com/careers" target="_blank" data-stringify-link="http://anthropic.com/careers" data-sk="tooltip_parent" data-remove-tab-index="true">anthropic.com/careers</a></u> directly for confirmed position openings.</p> <h2><strong>How we're different</strong></h2> <p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p> <p>The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p> <h2><strong>Come work with us!</strong></h2> <p>Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. <strong data-stringify-type="bold">Guidance on Candidates' AI Usage:</strong> Learn about <a class="c-link" href="https://www.anthropic.com/candidate-ai-guidance" target="_blank" data-stringify-link="https://www.anthropic.com/candidate-ai-guidance" data-sk="tooltip_parent">our policy</a> for using AI in our application process.</p></div>

We are seeking a highly technical and strategic Senior Developer Relations Manager to join our team, with a focus on engaging developer ecosystems across emerging technology domains. In this pivotal role, you will work directly with software solution providers, developers, and industry professionals to champion the adoption of NVIDIA's advanced AI and computing platforms. The ideal candidate brings a blend of deep technical expertise combined with a passion for developer advocacy and a talent f…

Join our mission to transform knowledge management in the organisation through innovative technology. The Knowledge Management Platform Engineer bridge the gap between technical infrastructure and user-centric content design, making it effortless for our organisational teams to store, discover, and share enterprise knowledge. The engineer designs, implements, and maintains our enterprise-wide documentation and collaboration ecosystem, which comprise of Knowledge Hubs and Wikis, Communications a…

Company OverviewDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.Company Operating RhythmAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.Note: This is a remote role based in Pacific Time, with a preference for candidates located in San Francisco.About The RoleDeepgram builds the models and APIs that put voice agents into production at scale. What decides whether those agents feel human is not a screen. It is whether the agent knows when you have finished speaking, what it does when you cut it off, how it recovers from a misheard word, how it confirms something consequential before acting, and how it covers the milliseconds it cannot remove.Today those decisions live inside prompts and pipeline config, made ad hoc by whoever is closest to the problem. No one owns them end to end. We are hiring a Staff Conversational Designer to own them.You will define how Deepgram's voice agents converse: persona, turn-taking, repair, confirmation, and pacing. You will work directly with ML and Engineering on the tradeoffs that make those behaviors real, including endpointing, barge-in, and latency budgets. You will build the evals that tell us whether a conversation is actually good, and publish the guidance and reference experiences that show developers how to build natural conversations on the Voice Agent API.This is a leading edge role. Very few companies have a titled equivalent. You will be defining this discipline at Deepgram, not inheriting it.You'll report directly to the Director of Product Design. This is a Staff IC role, and your impact shows up mostly in the leverage you create for others: the patterns our own experiences run on, and the guidance our customers build against.Your first chapter: a documented persona and voice system, and turn-taking and repair behavior designed and shipped with Engineering. From there, scope expands into conversational-quality evals and developer-facing guidance.What You’ll DoDefine the persona and voice system for Deepgram voice agents, and keep it coherent across experiences and use casesDesign turn-taking, barge-in, and end-of-turn behavior with ML and Engineering, tuning responsiveness against the risk of interrupting the user, per use caseDesign conversational repair, no-match and no-input handling, and confirmation strategy, including guardrails that require confirmation before high-stakes actionsOwn latency-aware pacing and perceived responsiveness: brevity, backchanneling, hold and filler speech, all against real-time budgetsEstablish conversational-quality evals and a transcript review practice that turns production failures into a repeatable design loopBuild the reference agent experiences and developer-facing design guidance that demonstrate best-practice conversation on the Voice Agent APIPartner with ML and Research on ASR and TTS behavior, and on the quality criteria that define a good conversationSet the conversation-design principles, review standards, and shared vocabulary the broader team adoptsYou’ll Love This Role If YouBelieve conversation is an interface with real craft behind it, not a prompt someone tunes on the sideWant the hard real-time problems: endpointing, barge-in, and the half-second you cannot design awayGet energized by being foundational, defining what good means for a discipline that does not exist here yetThink the fastest way to raise quality is to make it measurable, then make it repeatableAre excited by a category still inventing its interaction patterns, where the work is invention rather than iterationIt’s Important To Us That You HaveWe care more about expertise and leadership than years of experience.Deep experience designing conversational behavior for LLM-based voice agents or assistants, not only scripted IVR flowsReal fluency with the speech pipeline, from ASR through LLM to TTS, and a working understanding of where design decisions actually live inside itA track record designing turn-taking, interruption, repair, and confirmation patterns that shipped and held up in productionEvidence of building quality measurement into the practice: evals, transcript review, benchmarks, or a structured failure-analysis loopExceptional writing craft, including sample dialogs, design guidance, and documentation that others can build againstExperience influencing engineering and ML partners on behavior they own, without authority over themExperience designing for developers or technical users, including APIs, SDKs, and documentation surfacesA working AI practice, with a point of view on where these tools help and where they misleadIt Would Be Great If You HadTime on a named assistant or a production voice agent platformPractice with Wizard of Oz testing and sample dialog methodsHands-on work with eval tooling for LLM or voice qualityExperience in high-stakes or regulated conversation domains where confirmation and recovery carry real costMultilingual or cross-locale conversation design experienceBackground in high-growth B2B companies with both self-serve and enterprise motionsNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.

reputatio - we connect people, technology, vision and reality Seit über 20 Jahren steht reputatio für moderne Cloud-Telekommunikationslösungen, IT-Infrastruktur und strategische Beratung auf Augenhöhe. Mit unserer innovativen Cloud-Telefonanlage reputatio CallManager sowie unseren Virtual DataCenter und Dynamic Network Lösungen verbinden wir, was zusammen gehört -Mensch, Technologie, Vision und Wirklichkeit. So erleichtern wir das tägliche Leben unserer Geschäftskunden aus dem Mittelstand und d…

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 …

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 …

Salt Digital Recruitment is seeking an experienced AI Automation & Knowledge Systems Engineer to design, build, and maintain the internal AI infrastructure that powers how we work. You will create AI agents, structure knowledge bases for human and AI use, and connect internal systems through automated workflows. The role requires delivering scalable AI solutions, integrating APIs, data pipelines, and authentication methods, and working with cutting-edge tools like n8n and Claude Code. J-18808-L…

LINKFIELDS INNOVATIONS (PTY) LTD in Johannesburg seeks a skilled SAP K-Pro Consultant to support a dynamic technical information infrastructure. The ideal candidate will have SAP certification and a minimum of 4 years' experience in SAP K-Pro, working on document management solutions. This role involves implementing SAP K-Pro, ensuring its integration with SAP applications, and enhancing knowledge management solutions. Strong troubleshooting skills and collaboration are essential for success. J…

Who we are DigiCert is a global leader in intelligent trust. We protect the digital world by ensuring the security, privacy, and authenticity of every interaction. Our AI-powered DigiCert ONE platform unifies PKI, DNS, and certificate lifecycle management, to secure infrastructure, software, devices, messages, AI content and agents. Learn why more than 100,000 organizations, including 90% of the Fortune 500, choose DigiCert to stop today's threats and prepare for a quantum-safe future at www.di…

Black Pen Recruitment is seeking a Technical Writer to create essential documentation for their cloud-based insurance policy administration system. This hybrid position in Cape Town requires collaboration with development and product teams to produce clear and concise technical documents, ensuring they meet user needs and enhance product features. The ideal candidate will have previous experience in technical writing, a robust portfolio of work, and proficiency in documentation tools. Strong co…

Our client is a modern, feature-rich, full-cycle insurance policy administration system designed for insurers, MGAs, and brokers seeking to optimise their processes, accelerate product launches, and enhance connectivity. Their cloud-based, no-code platform transforms the administration of insurance, delivering a seamless user experience across policy, claims, and billing functions. Role Overview The Technical Writer is responsible for the creation of technical documentation that clarifies the p…

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 …

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 …

Lavendo partners with startups and high‑growth companies to help them hire top‑tier sales, GTM, and technical talent. This role is with one of our clients; we’ll share full details about the company and interview process as we get to know you and confirm mutual fit.About the CompanyOur client is a frontier data research lab. Their thesis: models are what they eat. A large share of training compute is burned on data that's redundant, irrelevant, or harmful - so they built a platform that automatically curates petabytes of raw data into high-quality training data. It's modality-agnostic, needs no labels, and runs inside the customer's own cloud or on-prem.The results are concrete: 7-40x faster training, performance as if trained on 10x+ more raw data, and models with less than half the parameters beating larger ones. AI labs and enterprises use it to train and adapt their own models.Our client has raised ~$60M across Seed and Series A, led by Felicis and Amplify Partners, with Radical Ventures, Microsoft, and Amazon. Angels include Geoff Hinton, Yann LeCun, and Jeff Dean. The team is growing fast on the back of a strong enterprise pipeline.The MissionEvery company should own its intelligence. Our client wants every AI team - not just the frontier labs - to have frontier-quality training data and full control over the cost and roadmap of their own models.The OpportunityOur client is hiring an AI Developer Experience & Media Lead to build its media and developer experience function from zero. You'll be the voice of the company on X and beyond, turning real research into threads, demos, videos, and launches that technical people actually want to read and share.You'll sit on the marketing team and work directly with the co-founder on content strategy and execution, with direct access to the researchers and engineers doing the work. No legacy playbook, no layers of approval - and an AI community that's already paying attention.What You'll Do Turn research and product work into technical storytelling - threads, demos, videos, and launches Run the company's voice on X day-to-day: posting, replying, quote-posting, and joining live conversations in real time Help founders and researchers show up in their own voices - draft for them and enable their social presence Own research launches end to end across X, the technical blog, and video - angle, assets, sequencing, follow-through Build real relationships with researchers, open-source developers, AI creators, and technical founders Bring community feedback back to product and research to shape what gets built and communicated next Experiment across formats and channels, track what earns attention and trust, and let the data steer strategy What You BringMust-haves An active personal X account with 1,000+ followers and a technical audience Experience creating social content that explains technical concepts You build your own technical demos - code, notebooks, and video Strong short-form technical writing - threads, posts, blogs 2-7 years in technical content, developer marketing, or DevRel in AI/ML Nice-to-haves CS, ML, or other technical degree (or equivalent self-taught depth) Experience at an AI model or infrastructure company Key Success Drivers X-native: you're already in the AI conversation and know what earns respect from researchers and engineers Technically credible: you can read a paper, build a demo, and explain it without losing the substance Ownership: you ship without waiting for a brief and take on the unglamorous work Experimental: you test formats, read the data, and double down on what works Focused: you prioritize ruthlessly when everything looks important Collaborative and candid: you work closely with founders and researchers and give honest feedback with respect At home in a fast, flat, in-person startup Why Join? Real material: research with measurable, dramatic results - you'll never have to fake the story Greenfield ownership of the whole function, working directly with the co-founder Built-in credibility: backed by Felicis, Amplify, Radical, Microsoft, Amazon, Hinton, LeCun, and Dean Early equity at an inflection point, when brand and community compound most $160K-$230K base + significant equity 100% covered medical, dental, and vision; 401(k) with 4% match; unlimited PTO $2K wellness and $1K learning stipends; daily lunches; relocation assistance; open to visa transfers Interviewing Process1. First chat with the Hiring Manager (30 min)2. Head of Marketing interview (45 min)3. Take-home content exercise (1 hr)4. Founder conversation (30 min)5. On-site team meet (1 hr)We are proud to be an equal opportunity workplace and consider all qualified applicants without regard to race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran or military status, gender identity or expression, sexual orientation, or any other characteristic protected by law.Compensation Range: $160K - $230KOriginally posted on Himalayas

Circle (NYSE: CRCL) is one of the world’s leading internet financial platform companies, building the foundation of a more open, global economy through digital assets, payment applications, and programmable blockchain infrastructure. Circle’s platform includes the world’s largest regulated stablecoin network anchored by USDC, Circle Payments Network for global money movement, and Arc, an enterprise-grade blockchain designed to become the Economic OS for the internet. Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale financial innovation. Learn more at .What you’ll be part of:Circle is committed to visibility and stability in everything we do. As we grow as an organization, we're expanding into some of the world's strongest jurisdictions. Speed and efficiency are motivators for our success and our employees live by our company values: High Integrity, Future Forward, Multistakeholder, Mindful, and Driven by Excellence. We have built a flexible work environment where new ideas are encouraged and everyone is a stakeholder.What you'll be responsible for:You will accelerate adoption of USDC, Arc, Arc Studio, and the Circle Agent Stack across the AI ecosystem by serving as the technical voice for Circle’s AI platform from San Francisco or New York. You will build prototypes and developer experiences using coding agents and Arc Studio (Codex, Claude Code, Cursor, Arc Studio), create sample applications and technical content, and partner with Product, Engineering, and Marketing to turn developer feedback into product and platform improvements.What you'll work on: Building AI agents and agentic commerce applications with Arc Studio, Circle Agent Stack, Arc, and USDC, and converting learnings into sample apps, tutorials, demos, and open-source projects Creating technical content (blogs, videos, talks, workshops, docs) that helps developers build AI-powered financial applications Partnering with Product and Engineering to shape APIs, SDKs, docs, and developer experience before launch Supporting product launches with technical demos, example repos, reference architectures, and developer education Engaging AI developers, framework providers, API platforms, and open-source communities to drive adoption and surface ecosystem insights Prototyping with coding agents (Codex, Claude Code, Cursor) and Arc Studio to demonstrate workflows and evangelize Circle’s platform Measuring developer adoption and feedback, and iterating on samples, docs, and APIs What you'll bring to Circle:Core Requirements 7+ years of technical experience building developer tools, SDKs, APIs, platform integrations, or developer relations Proven track record creating developer-facing assets: sample apps, SDKs, tutorials, demos, workshops, or open-source repos Strong software engineering skills in JavaScript/TypeScript, Python, or similar languages and experience shipping production code Experience integrating payments, tokenized assets, or blockchain infrastructure (USDC, stablecoins, or equivalent) Experience collaborating with Product and Engineering to influence API design, SDKs, and developer documentation Familiarity with generative AI models and prompt development Preferred Requirements Experience/familiarity with Slack, Apple MacOS and GSuite Experience at fintech or blockchain infrastructure companies (e.g., Stripe, Block, Plaid, Solana, Base) Public technical presence through talks, blog posts, code samples, or active developer community participation Circle is on a mission to create an inclusive financial future, with transparency at our core. We consider a wide variety of elements when crafting our compensation ranges and total compensation packages.Starting pay is determined by various factors, including but not limited to: relevant experience, skill set, qualifications, and other business and organizational needs. Please note that compensation ranges may differ for candidates in other locations.Base Pay Range: $157,500 - $190,833We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status, or any other protected status required by the laws in the locations where we hire. Additionally, Circle participates in the E-Verify Program in certain locations, as required by law.Should you require accommodations or assistance in our interview process because of a disability, please reach out to for support. We respect your privacy and will connect with you separately from our interview process to accommodate your needs.Originally posted on Himalayas

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 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 DutiesWe’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. RequirementsWhat 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 EmployerAt 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 the UK, the Base compensation range for this role is GBP 81,000 - GBP 97,000. 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 *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. For information about how your personal data is used once you’ve applied to a job, check out our privacy policy. Originally posted on Himalayas

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 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 DutiesWe’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. RequirementsWhat 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 EmployerAt 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 Spain, the Base compensation range for this role is EUR 73,000 - 88,000. 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 *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. For information about how your personal data is used once you’ve applied to a job, check out our privacy policy. Originally posted on Himalayas

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 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 DutiesWe’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. RequirementsWhat 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 EmployerAt 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 Germany, the Base compensation range for this role is EUR 85,000 - 102,000. 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 *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. For information about how your personal data is used once you’ve applied to a job, check out our privacy policy. Originally posted on Himalayas

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 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 DutiesWe’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. RequirementsWhat 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 EmployerAt 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 the UK, the Base compensation range for this role is GBP 81,000 - GBP 97,000. 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 processWhat you’ll bring to the roleYou’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 the US, the Base compensation range for this role is $123,933 - $148,719. 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. For information about how your personal data is used once you’ve applied to a job, check out our privacy policy. Originally posted on Himalayas