Staff AI Product Analyst, Grafana Labs

• 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

Desirable

• 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
• 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