Staff AI Product Analyst, Product Management | USA, EST | Remote

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.

Responsibilities

• 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.
• Partner cross-functionally across Product to establish top-level KPIs, dashboards, and product roadmap planning.
• 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.
• Influence the long-term vision and strategy for Product Analytics, balancing near-term needs with scalable, durable solutions.

Requirements

You have 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.

A plus if you have Knowledge about observability and Familiarity with Airflow or Prefect - generating ad hoc ETL jobs.

Qualifications

You must have a Bachelor's degree in Computer Science, Statistics, Data Science, or a related field.

At least 5 years of experience in product analytics, data science, or a related field.

Skills

• Strong understanding of 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.
• Proficiency in SQL for writing complex yet efficient queries.
• Experience with data visualization tools such as Tableau, Looker, Omni, Hex, or Grafana.
• Experience with dbt models and implementing Product Analytics tooling (e.g., Heap, Pendo, Amplitude, FullStory).
• Experience using AI-assisted coding tools like Cursor or Claude Code.
• Excellent communication skills to explain technical topics to non-technical audiences.
• Knowledge about observability and familiarity with Airflow or Prefect.

Benefits

The Base compensation range for this role is $162,275 - $194,730 USD. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process.

Benefits include equity, bonus (if applicable) and other benefits listed here. Compensation ranges are country specific.