Staff AI Engineer - 2nd Horizon

Details

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. 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 1,600+ team members across 40+ countries.

This is a remote position. We are considering candidates in Germany, Ireland, Sweden, Spain and the UK only.

Responsibilities

• Build and deliver AI solutions: take ownership of developing delightful, high-performance AI features to help users discover, organize, and optimize access to large datasets.
• Rapid experimentation and iteration: implement a highly iterative process where you quickly prototype, test, and validate with real users, including shipping and evolving LLM- or agent-powered workflows for the data engineering lifecycle.
• Collaborate: work with the rest of the team to shape AI-driven product features, including the integration of agentic components with internal tools like Slack and alerting systems while engaging with internal data teams for dogfooding.
• Utilize AI tools effectively: use AI and automation tools to enhance both product functionality and your own development workflows.
• Effective communication: contribute across teams in a highly dynamic and collaborative environment.
• Ownership and impact: take full ownership of the AI solutions you develop, ensuring they are scalable, maintainable, and aligned with real user workflows.

Requirements

• Experience with LLMs, context engineering, and building applications powered by Generative AI.
• Proven track record of delivering software that made it into production and is actively used by users.
• Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure).
• Experience using observability tools to understand and troubleshoot system behavior.
• Strong engineering skills: solid experience building production-grade, user-facing software systems; self-starter capable of tackling complex engineering problems and making UI design decisions with minimal supervision.
• Quick iteration and experimentation mindset: comfortable releasing prototypes, collecting feedback, and iterating pragmatically.
• Proven initiative and a collaborative attitude: ownership, ability to deal with ambiguity, and effective communication.

Bonus Points

• Experience building or working with agent frameworks or multi-agent workflows.
• Experience as a data analyst or working with data platforms (e.g., Looker, Tableau, Power BI, Snowflake, Databricks).
• Experience building tools for data engineering.

Compensation & Rewards

In Spain, the Base compensation range for this role is €94,000 - €117,000. 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 on the company careers page. Compensation ranges are country specific; recruiters will discuss the market-specific pay range & benefits if applying from a different location.

Why You'll Thrive at Grafana Labs

• 100% Remote, Global Culture
• Scaling Organization with meaningful work
• Transparent Communication and approachable leadership
• Innovation-driven, open source roots, empowered teams
• In-person onboarding and a global annual leave policy of 30 days per annum (with 3 days reserved for Grafana Shutdown Days)

Equal Opportunity

Grafana Labs is an equal opportunities employer and welcomes applications from everyone regardless of protected characteristics. The company may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually.