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Staff AI Product Analyst, Product Management | Canada | Remote

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Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud’s actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. We are a 100% remote company with 1,600+ team members across 40+ countries and are headquartered in the USA/Canada. If you are excited about building strong product analytics capabilities and using data to shape the future of AI‑powered experiences, we would love to hear from you.

About the Role

We’re looking for a Staff Product Analyst to join our growing Product Analytics team and serve as a strategic partner to Grafana’s AI organization. This role will support the teams building Grafana Assistant, our synchronous chat experience; Investigations, our asynchronous AI workflow for incident analysis; and AI observability solutions, including Sigil. You will shape how the AI team measures success by defining KPIs, improving measurement practices, guiding experiment design and evaluation, and translating data into recommendations that influence product decisions.

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

Qualifications

  • 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 Tableau, Looker, Omni, Hex, or 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

Preferred Qualifications

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

Compensation & Benefits

In Canada, the base compensation range for this role is $164,490 – $197,389 CAD. Compensation may vary based on level, experience, and skillset.

Benefits

include equity, bonus (if applicable), and other benefits. Compensation ranges are country specific; applicants from other locations will receive a market‑specific pay range.

Equal Opportunity Employer

Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.

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