Staff AI Product Analyst, Product Management | Canada | Remote

Grafana Labs

16h•CA$164,490 - CA$197,389•Remote

About The Position

Grafana Labs is seeking a Staff Product Analyst to join their Product Analytics team, focusing on supporting the AI organization. This role will be instrumental in shaping how the AI team measures success by defining KPIs, enhancing measurement practices, guiding experiment design and evaluation, and translating data into actionable recommendations for product decisions. The position is highly cross-functional, requiring collaboration with Product, Design, Engineering, and Data partners, with a primary focus on supporting the AI team. The role reports to the Product Analytics Manager. This is a remote position open to candidates in the USA or Canada.

Requirements

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

Nice To Haves

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

Responsibilities

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.