About the role
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. This is a remote position. We are looking for candidates in the USA or Canada.
About
the Role We’re looking for a Staff Product Analyst to join our growing Product Analytics team and serve as a strategic partner to Grafana’s AI organization . This role will support the teams building Grafana Assistant , our synchronous chat experience; Investigations , our asynchronous AI workflow for incident analysis; and AI observability solutions , including Sigil . You will shape how the AI team measures success by defining KPIs, improving measurement practices, guiding experiment design and evaluation, and translating data into recommendations that influence product decisions. This is a highly cross-functional role. You’ll work closely with Product, Design, Engineering, and Data partners, with a primary focus on supporting the AI team, and report to the Product Analytics Manager If you’re excited about building strong product analytics capabilities and using data to shape the future of AI-powered experiences at Grafana , we’d love to hear from you. You Will Partner cross functionally across Product to establish top-level KPIs, dashboards, and product roadmap planning Define how success is measured for AI-powered product experiences, including adoption, engagement, quality, retention, and user outcomes Guide the instrumentation of product data in collaboration with our Product Design, Product Management, and Engineering teams to enable reliable analysis of AI features and workflows. Design, evaluate, and interpret experiments to assess the impact of new AI capabilities and inform product decisions. Develop dbt models to transform and test our user behavior data in partnership with our Analytics Engineering team Influence best practices for Product Analytics across teams and help define standards as the company scales Contribute to defining the long-term vision and strategy for Product Analytics, balancing near-term needs with scalable, durable solutions. You have Experience partnering across product and engineering organizations, and familiarity with typical product KPIs and frameworks (e.g., DAU/MAU, funnels, A/B testing) Experience defining and tracking success metrics for complex product areas, ideally including AI-powered features or workflows. SQL: writing complex yet efficient SQL is a daily habit for you Data Visualization: experience with any of the following tools: Tableau, Looker, Omni, Hex, or of course, Grafana! Experience writing dbt models, implementing Product Analytics tooling (e.g., Heap, Pendo, Amplitude, FullStory), and code version control (git) Experience using AI-assisted coding tools (e.g., Cursor, Claude Code) to quickly prototype and iterate across analysis, data modeling, instrumentation, visualization and code development. Excellent communication skills, able to explain technical topics to non-technical audiences, and maintain many of the essential cross-team and cross-functional relationships necessary for