Used Tools & Technologies
GenAIRequired 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
Looker @ 4
Tableau @ 4
GCP @ 4
AWS @ 4
Azure @ 4
Communication @ 4
Data Engineering @ 4
Slack @ 4
Experimentation @ 4
Databricks @ 4
LLM @ 4
Snowflake @ 4
Observability @ 4
Generative AI @ 4
AI @ 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 building AI-driven observability and analytics features as part of a skunkworks initiative (2H) to bring observability to broader business use cases via general data analytics. The team focuses on rapid experimentation, iteration, and shipping production-grade AI features that help users discover, organize, and optimize access to large datasets, and expand analytics-focused AI agents for information retrieval and other workflows. This is a remote role considering candidates in Germany, Ireland, Sweden, Spain, and the United Kingdom.
Responsibilities
- Design, develop, test, and ship AI-powered features that handle large datasets and support analytics-focused workflows.
- Build and deliver high-performance, user-facing AI solutions that help users discover, organize, and optimize access to data.
- Rapidly prototype, test, validate with real users, and iterate on LLM- or agent-powered workflows for the data engineering and analytics lifecycle.
- Integrate agentic components with internal tools (e.g., Slack, alerting systems) and collaborate with internal data teams for dogfooding.
- Use AI and automation tools to improve product functionality and development workflows.
- Take ownership of solutions to ensure they are scalable, maintainable, and aligned with user workflows.
Requirements
- Experience with LLMs, context engineering, and building applications powered by Generative AI.
- Proven track record of delivering software into production that is actively used by users.
- Exposure to cloud-native environments (examples given: AWS, GCP, Azure).
- Experience using observability tools to understand and troubleshoot system behavior.
- Strong software engineering skills, ability to iterate quickly, and a pragmatic, product-focused mindset.
- Effective communication and collaboration skills; ability to operate autonomously in a small, highly iterative team.
Bonus Points
- Experience building or working with agent frameworks or multi-agent workflows.
- Experience as a data analyst or with data platforms (Looker, Tableau, PowerBI, Snowflake, Databricks).
- Experience building tools for data engineering.
Compensation & Rewards
- Base compensation range in the UK: A3100,000 - A3124,000 (actual compensation may vary by level, experience, and skillset). Benefits include equity, bonus (if applicable), and other benefits listed by Grafana Labs.
Location & Work Arrangement
- Remote position. Candidates are being considered in Germany, Ireland, Sweden, Spain, and the United Kingdom only.
- Grafana Labs is a 100% remote company; the role includes in-person onboarding to meet fellow new hires.
Why Youll Thrive
- Remote global culture, innovation-driven environment, transparent communication, open-source roots, empowered teams, and clear career growth pathways.
Equal Opportunity Employer
- Grafana Labs is an equal opportunities employer and may utilize AI tools in its recruitment process while continuing manual review of CVs.
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