Strategic AI Product Analytics Lead — Remote

Grafana Labs

Philippines

Remote

PHP 6,814,185 - 8,177,036

Full time

14 days+

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Job summary

Grafana Labs is seeking a Staff AI Product Analyst to join our growing Product Analytics team in a remote German-based role. You will partner with Product, Design, Engineering, and Data to define KPIs, design experiments, and translate data into recommendations that shape AI features and workflows such as Grafana Assistant and AI observability tools.

You will instrument data, build dashboards, and establish standards for how we measure success across AI-powered experiences, influencing product

Qualifications

Experience partnering across product and engineering organizations, and familiarity with typical product KPIs and frameworks such as 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: proficient with Tableau, Looker, Omni, Hex, or Grafana.
Experience writing dbt models, implementing Product Analytics tooling such as Heap, Pendo, Amplitude, FullStory, and code version control with git.
Experience using AI-assisted coding tools such as Cursor, Claude Code to quickly prototype and iterate across analysis.
Excellent communication skills, able to explain technical topics to non-technical audiences.

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.