Used Tools & Technologies
Not specified
Required Skills & Competences
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.
Grafana @ 4
SQL @ 7
A/B Testing @ 3
Looker @ 4
Tableau @ 4
dbt @ 4
ETL @ 3
Airflow @ 3
Leadership @ 4
Communication @ 4
Git @ 4
Product Management @ 4
Claude Code @ 4
Observability @ 4
AI @ 4
Data Visualization @ 4
Data Modeling @ 4
- 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.
Details
Grafana Labs is the company behind the open observability cloud. Grafana Cloud is a fully managed observability platform with AI capabilities used to help organizations see, understand, and act on disparate data. Grafana Labs is a 100% remote company with a global team.
This is a remote position for candidates in the USA on Eastern time zones. The role will sit on the Product Analytics team and serve as a strategic partner to Grafana’s AI organization, supporting Grafana Assistant (synchronous chat), Investigations (asynchronous AI workflow for incident analysis), and AI observability solutions including Sigil.
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 Product Design, Product Management, and Engineering 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 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
Requirements
- Experience partnering across product and engineering organizations; familiarity with 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
- Strong SQL skills: writing complex yet efficient SQL is a daily habit
- Data visualization experience with tools such as Tableau, Looker, Omni, Hex, or Grafana
- Experience writing dbt models and implementing Product Analytics tooling (e.g., Heap, Pendo, Amplitude, FullStory)
- Experience with code version control (git)
- Experience using AI-assisted coding tools (e.g., Cursor, Claude Code) to 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 cross-team relationships
Nice to Have
- Knowledge about observability
- Familiarity with Airflow or Prefect for generating ad hoc ETL jobs
Compensation
- Base compensation range (USA): $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 linked on the company careers page.
Benefits & Culture
- 100% remote, global culture
- In-person onboarding
- Transparent communication and approachable leadership
- Career growth pathways
- Global annual leave policy of 30 days per annum (subject to local legislation), including 3 reserved Grafana Shutdown Days
- Grafana Labs is an equal opportunity employer
Other
- The role reports to the Product Analytics Manager and is highly cross-functional (Product, Design, Engineering, Data). Grafana Labs may utilize AI tools in its recruitment process to assist with CV matching; recruitment team will continue to review inbound CVs manually.