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Staff AI Product Analyst (Product Management)

Grafana Labs · Germany

External listingfull-time28 days ago

About The Role

Join Grafana, a leading open-source analytics platform, as a Staff AI Product Analyst. In this cross-functional role, you will partner with various teams to define success metrics for AI-powered product experiences, guide experiment design and evaluation, and translate data into recommendations that influence product decisions. You will have the opportunity to shape the future of AI-powered experiences at Grafana and enjoy a range of benefits, including 30 days of paid vacation, health coverage, retirement planning, and professional development opportunities.

  • Establish top-level KPIs, dashboards, and product roadmap planning for AI-powered product experiences.
  • Guide the instrumentation of product data in collaboration with Product Design, Product Management, and Engineering teams.
  • Design, evaluate, and interpret experiments to assess the impact of new AI capabilities and inform product decisions.
  • 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 defining and tracking success metrics for complex product areas, ideally including AI-powered features or workflows
  • Experience partnering across product and engineering organizations, and familiarity with typical product KPIs and frameworks (e.g., DAU/MAU, funnels, A/B testing)
  • 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
  • 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
  • Knowledge about observability
  • Familiarity with Airflow or Prefect - generating ad hoc ETL jobs

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