Responsibilities
- Develop high-performance AI features that help users discover, organize, and optimize access to large datasets.
- Rapidly prototype, test with real users, ship, and iterate on LLM- and agent-powered workflows for the data engineering lifecycle.
- Shape AI-driven product features and integrate agentic components with internal tools such as Slack and alerting systems.
- Collaborate with internal data teams for dogfooding and validation.
- Use AI and automation tools to improve product functionality and development workflows.
- Own AI solutions end to end, ensuring they are scalable, maintainable, and aligned with user workflows.
- Design, develop, test, and ship software in a highly autonomous skunkworks environment.
Requirements
- Experience with LLMs, context engineering, and applications powered by generative AI.
- A proven record of delivering production software that is actively used by customers or users.
- Exposure to cloud-native environments such as AWS, GCP, or Azure.
- Experience using observability tools to understand and troubleshoot system behavior.
- Experience with agent frameworks or multi-agent workflows is preferred.
- Experience as a data analyst or with data platforms such as Looker, Tableau, Power BI, Snowflake, or Databricks is preferred.
- Experience building tools for data engineering is preferred.
- Strong production software engineering skills, practical AI experience, ownership, experimentation, and effective collaboration are expected.
Benefits
- 100% remote position for candidates in Germany, Ireland, Sweden, Spain, and the UK.
- In-person onboarding is provided.
- 30 days of annual leave per year, including 3 Grafana Shutdown Days, subject to local legislation.
- Equity, bonus where applicable, and other country-specific benefits are offered.
- Career growth pathways, transparent communication, and an autonomy-focused culture.
Tech Stack
Categories
About Grafana
Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions, while getting the visibility they need to run AI systems reliably and at scale. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,400+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital.