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.

• 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 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
• 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)
• Knowledge about observability
• Familiarity with Airflow or Prefect - generating ad hoc ETL jobs