Staff AI Product Analyst (Product Management)

Join Grafana, a leading open-source analytics and monitoring platform, as a Staff AI Product Analyst. In this highly cross-functional role, you will support the AI team in measuring success, defining KPIs, guiding experiment design, and translating data into recommendations that influence product decisions. You will work closely with Product, Design, Engineering, and Data partners, and report to the Product Analytics Manager. Enjoy a fully remote work environment, generous vacation and healthcare benefits, retirement planning, professional development opportunities, and more.

• Collaborer avec les équipes interfonctionnelles pour établir des indicateurs clés de performance (KPI) et des tableaux de bord.
• Définir comment le succès est mesuré pour les expériences de produits alimentés par l'IA, y compris l'adoption, l'engagement, la qualité, la rétention et les résultats des utilisateurs.
• Concevoir, évaluer et interpréter des expériences pour évaluer l'impact des nouvelles capacités d'IA et informer les décisions de produit.
• 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
• Experience writing dbt models, implementing Product Analytics tooling (e.g., Heap, Pendo, Amplitude, FullStory), and code version control (git)
• SQL: writing complex yet efficient SQL is a daily habit for you
• Experience partnering across product and engineering organizations, and familiarity with typical product KPIs and frameworks (e.g., DAU/MAU, funnels, A/B testing)
• Data Visualization: experience with any of the following tools: Tableau, Looker, Omni, Hex, or of course, Grafana!
• 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
• Experience defining and tracking success metrics for complex product areas, ideally including AI-powered features or workflows
• Knowledge about observability
• Familiarity with Airflow or Prefect - generating ad hoc ETL jobs