Senior Full-Stack Engineer - Grafana Analytics

Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations. We are a 100% remote company with team members across 40+ countries. We’re looking for a Senior Full-Stack Engineer to join our new Grafana Analytics team.

About the Role

We recently started a skunkworks initiative with a mission to bring observability to the rest of the business via general data analytics. Our goal is to make Grafana the single best place where humans and AI agents understand and act on data from across the enterprise.

This new team works like a startup within the company: you'll wear multiple hats and won't rely on cross-functional teams that typically support other teams inside Grafana Labs engineering. You will design, develop, test, and ship AI-powered features that can manage large datasets, while also expanding the capabilities of analytics-focused AI agents to assist users with information retrieval.

Key Responsibilities

• Build and deliver full-stack user experiences: 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 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.

What We're Looking For

• Product mindset: Understand user problems and develop solutions with proficiency and taste.
• Strong engineering skills: Solid experience building production-grade, user-facing software systems with minimal supervision.
• AI experience with a practical mindset: Familiarity with AI technologies and frameworks, focusing on real-world delivery.
• Quick iteration and experimentation: Comfortable releasing prototypes, collecting feedback, and iterating pragmatically.
• Proven initiative: Ability to deal with ambiguity, define scope, and drive impactful solutions forward.
• Collaborative attitude: Open to feedback and brings a solutions-oriented mindset.

Requirements

• Track record of building user-facing experiences that strike the right balance between utility and delight.
• Experience with LLMs, context engineering, and building applications powered by GenAI.
• Proven track record of delivering software into production 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.

Nice to Have

• 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, PowerBI, Snowflake, Databricks).
• Experience building tools for data engineering.

Compensation & Rewards

The US base compensation range for this role is $154,445 - $185,334. All roles include Restricted Stock Units (RSUs) to give every team member ownership in Grafana Labs' success. We operate a global annual leave policy of 30 days per annum (including 3 Grafana Shutdown Days).