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Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re 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.
The Opportunity:
At Grafana Labs, we’re redefining what post-sales technical partnership looks like—and it starts with the Observability Architect. This is a role for deeply technical experts who are ready to step into strategic leadership with our most important customers. If you thrive at the intersection of systems thinking, architecture design, and customer impact—this is your stage.
As an Observability Architect, you will be the technical owner of long-term customer success. You’ll architect and guide the implementation of complex observability solutions across a wide range of modern infrastructure and application environments. You’ll build strategic relationships with engineers, SREs, and architects—ensuring Grafana’s technology is not just deployed, but deeply embedded into mission-critical systems.
Working hand-in-hand with our Engagement Managers, you’ll lead technical discovery, design, onboarding, and enablement—all with a focus on delivering tangible outcomes. You’ll spot patterns, solve hard problems, and guide customers through their observability maturity curve with authority and clarity.
You’ll also represent the technical voice of our customers internally—shaping product feedback and roadmap priorities by working closely with Engineering and Product Management.
This is a hands-on, high-impact role for those who want to go deep, stay technical, and directly influence customer success at scale. Join us and become part of the most respected observability team in the industry.
What You'll Be Doing:
What Makes You a Great Fit:
Bonus Points For:
In the US, the OTE compensation range for this role is $204,000 - $260,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*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:
Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization 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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