Staff AI Product Analyst (Product Management)

Join Grafana, a leading open-source analytics platform, as a Staff AI Product Analyst. In this highly cross-functional role, you will partner with various teams to define KPIs, improve measurement practices, guide experiment design and evaluation, and translate data into recommendations that influence product decisions. You will support the AI team in building Grafana Assistant, Investigations, and AI observability solutions. This position offers a fully remote work environment, competitive benefits, and opportunities for professional development.

• Establish top-level KPIs, dashboards, and product roadmap planning in collaboration with cross-functional teams.
• 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 Product Design, Product Management, and Engineering teams to enable reliable analysis of AI features and workflows.
• 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
• 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
• Data Visualization: experience with any of the following tools: Tableau, Looker, Omni, Hex, or of course, Grafana!
• SQL: writing complex yet efficient SQL is a daily habit for you
• Experience writing dbt models, implementing Product Analytics tooling (e.g., Heap, Pendo, Amplitude, FullStory), and code version control (git)
• 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
• 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
• Knowledge about observability
• Familiarity with Airflow or Prefect - generating ad hoc ETL jobs