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 @ 3
Looker @ 3
Tableau @ 3
GCP @ 3
Leadership @ 3
AWS @ 3
Azure @ 3
Communication @ 3
Data Engineering @ 3
Slack @ 3
Experimentation @ 3
Databricks @ 3
LLM @ 3
Snowflake @ 3
Observability @ 3
Generative AI @ 3
AI @ 3
GenAI @ 3
- 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 a 100% remote company building an open observability cloud. The 2nd Horizon (2H) team is a skunkworks initiative focused on bringing observability and general data analytics together via AI-driven features. The team builds systems that help users make sense of large, messy datasets through AI-powered features (product analytics, sales data, etc.), lowering the barrier of domain expertise and surfacing meaningful signals.
This is a remote position. Grafana Labs is considering candidates in Germany, Ireland, Sweden, Spain and the United Kingdom only.
Responsibilities
- Build and deliver AI solutions: design, develop, test, and ship high-performance AI features to help users discover, organize, and optimize access to large datasets.
- Rapid experimentation and iteration: quickly prototype, test, validate with real users, and evolve LLM- or agent-powered workflows for the data engineering lifecycle.
- Collaborate across the team: shape AI-driven product features and integrate agentic components with internal tools (e.g., Slack, alerting systems); engage with internal data teams for dogfooding.
- Utilize AI and automation tools to enhance product functionality and development workflows.
- Communicate effectively in a dynamic, collaborative environment and take ownership of AI solutions to ensure they are scalable and maintainable.
Requirements
- Experience with LLMs, context engineering, and building applications powered by generative AI (GenAI).
- Proven track record of delivering production-grade, user-facing software used by real users.
- Exposure to cloud-native environments (examples given: AWS, GCP, Azure).
- Experience using observability tools to understand and troubleshoot system behavior.
- Strong engineering skills, a pragmatic approach to AI, and a quick iteration/experimentation mindset.
Bonus Points
- Experience building or working with agent frameworks or multi-agent workflows.
- Experience as a data analyst or with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, Databricks).
- Experience building tools for data engineering.
Compensation & Rewards
- In Germany, the base compensation range is €109,000 - €137,000. Actual compensation may vary based on level, experience, and skillset.
- Benefits include equity, bonus (if applicable), and other benefits listed by Grafana Labs.
Why You’ll Thrive at Grafana Labs
- 100% remote, global culture with a scaling organization and transparent communication.
- Innovation-driven environment with autonomy and support to ship work and try new things.
- Open source roots, empowered teams, career growth pathways, approachable leadership, in-person onboarding, and a global annual leave policy (30 days per annum; 3 days reserved for company shutdown days).
Other Notes
- Grafana Labs may use AI tools in its recruitment process to assist in matching CVs to job postings. The recruitment team will continue manual review of inbound CVs.
- The posting states candidates are being considered only in Germany, Ireland, Sweden, Spain, and the United Kingdom.
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