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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Remote - **Company:** Grafana Labs - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $162,000.0 - $195,000.0 - **Contract:** Permanent contract - **Skills:** A/B Testing, Artificial Intelligence, Airflow, Data Analysis, Cloud Computing, Extract Transform Load (ETL), Data Visualization, Cursor (Graphical User Interface Elements), SQL Databases, Tableau (Software), Usage Analysis, Grafana, Git, Software Coding, Heap (Data Structure), Looker Analytics, Software Version Control - **Published:** July 4, 2026 - **Apply:** https://job-boards.greenhouse.io/grafanalabs/jobs/6107527004 ## About the Role * 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 the team's success A plus if you have * Knowledge about observability * Familiarity with Airflow or Prefect - generating ad hoc ETL jobs ## Description 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 Agent Observability. 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. ## Related Videos - [All your telemetry data from any source in one place](https://www.wearedevelopers.com/videos/57-all-your-telemetry-data-from-any-source-in-one-place) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [5 steps for running a Kubernetes environment at scale](https://www.wearedevelopers.com/videos/88-5-steps-for-running-a-kubernetes-environment-at-scale) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [Effortlessly Scale Prometheus With The Telemetry Data Platform – And Keep your Grafana Dashboards, Too!](https://www.wearedevelopers.com/magazine/3-effortlessly-scale-prometheus-with-the-telemetry-data-platform-and-keep-your-grafana-dashboards-too) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 139 - Soft and hard queries](https://www.wearedevelopers.com/magazine/487-dev-digest-139-soft-and-hard-queries) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix)