Staff AI Product Analyst, Product Management

📍 Germany
📍 Spain
📍 United Kingdom
📍 Sweden

GBP 91,800-110,100 per year

SENIOR

✅ Remote

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

A/B Testing @ 3 AI @ 6 Airflow @ 3 Claude Code @ 4 Communication @ 6 Data Modeling @ 4 Data Visualization @ 4 ETL @ 3 Git @ 4 Grafana @ 4 Looker @ 4 Observability @ 4 SQL @ 6 Tableau @ 4 dbt @ 4

Details

Grafana Labs is looking for a Staff Product Analyst to join its Product Analytics team and serve as a strategic partner to the AI organization. The role supports Grafana Assistant, Investigations, and AI observability solutions including Agent Observability.

The successful candidate 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. This is a highly cross-functional role working with Product, Design, Engineering, and Data teams, reporting to the Product Analytics Manager.

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 product data instrumentation in collaboration with 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 user behavior data in partnership with the Analytics Engineering team.
Influence Product Analytics best practices and help define standards as the company scales.
Contribute to the long-term vision and strategy for Product Analytics while balancing near-term needs with scalable, durable solutions.

Requirements

Experience partnering across product and engineering organizations.
Familiarity with product KPIs and frameworks such as DAU/MAU, funnels, and A/B testing.
Experience defining and tracking success metrics for complex product areas, ideally including AI-powered features or workflows.
Ability to write complex and efficient SQL.
Experience with data visualization tools such as Tableau, Looker, Omni, Hex, or Grafana.
Experience writing dbt models.
Experience implementing Product Analytics tools such as Heap, Pendo, Amplitude, or FullStory.
Experience with Git and code version control.
Experience using AI-assisted coding tools such as Cursor or Claude Code to prototype and iterate across analysis, data modeling, instrumentation, visualization, and code development.
Excellent communication skills, including the ability to explain technical topics to non-technical audiences and maintain cross-team relationships.

Additional Qualifications

Knowledge of observability.
Familiarity with Airflow or Prefect for generating ad hoc ETL jobs.

Benefits

Equity and bonus, if applicable.
100% remote global culture.
In-person onboarding.
30 days of annual leave per annum, including three Grafana Shutdown Days, subject to local legislation.
Career growth pathways and an innovation-driven, empowered work environment.