Staff AI Product Analyst, Product Management

📍 United States

USD 162,300-194,700 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 @ 4 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 seeking 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. You will define KPIs, improve measurement practices, guide experiment design and evaluation, and translate data into recommendations that influence product decisions.

This is a highly cross-functional role working with Product, Design, Engineering, and Data teams. The position reports to the Product Analytics Manager and is remote for candidates located in the USA on Eastern time zones.

Responsibilities

Partner cross-functionally across Product to establish top-level KPIs, dashboards, and product roadmap planning.
Define success measures 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, 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 or other code version control systems.
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-functional relationships.

Additional Qualifications

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

Compensation and Benefits

Base compensation range in the USA: $162,275–$194,730 USD per year.
Benefits include equity, bonus where applicable, and other company benefits.
100% remote work in a global culture.
In-person onboarding.
Global annual leave policy of 30 days per annum, including three Grafana Shutdown Days.
Career growth pathways, transparent communication, and empowered teams.