Staff AI Growth Engineer | United States | Remote

Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with Grafana Cloud or self-managed with the Grafana Enterprise Stack, both featuring scalable metrics (Grafana Mimir), logs (Grafana Loki), and traces (Grafana Tempo).

We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.

You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.

The Opportunity:

Grafana Labs is seeking a Staff AI Growth Engineer to architect and lead the development of our next-generation AI agent and workflow systems. This role is not a support desk - it is a strategic leadership position focused on AI innovation, system design, cross-departmental enablement, and scalable business automation. You will own the AI growth roadmap, shaping internal capabilities and integrations that streamline marketing and operational workflows across teams.

Ideal for a strategic systems architect and technical leader with deep AI integration experience, this role requires strong coding ability, an eye for operational scalability, and business acumen. The right candidate translates business bottlenecks into comprehensive, automated solutions that drive measurable ROI, accelerate growth, and elevate team effectiveness across departments.

What You’ll Be Doing:

Strategic Architecture & Technical Leadership

• Own the architecture and development of AI-powered systems, workflows, and multi-agent platforms across marketing operations and extended business functions
• Build and maintain scalable cloud-based infrastructure (GCP) and workflow automation via no-code/low-code platforms (Make.com, n8n, Workato) with focus on high-impact business applications.
• Drive modular, scalable, multi-agent AI systems that operate 24/7 and integrate with marketing platforms (e.g., Customer.io, Marketo, Salesforce, BigQuery).
• Develop CI/CD pipelines and scalable automation frameworks.

Cross-Functional Strategic Enablement

• Lead strategic AI transformation initiatives across cross-functional teams while maintaining technical ownership of core systems and strategic direction
• Partner with RevOps, Demand Generation, Regional Marketing, Events Marketing, & SDRs to identify workflow inefficiencies and deliver agent-based solutions with measurable business outcomes.
• Design templates and governance models that enable teams to build, trigger, and measure AI solutions independently.

AI Governance & Strategic Scale

• Build and maintain secure, documented systems with robust PII controls, compliance protocols, and strategic permission frameworks
• Establish and drive company-wide standards for AI prompt engineering, version control, testing, observability, and business impact measurement
• Provide internal training, best practices, and scalable documentation frameworks for AI tools that enable cross-functional team success and organizational AI adoption.

What Makes You a Great Fit:

Technical Proficiency

• 8+ years of experience in engineering or systems development with 2+ years focused on AI-first development.
• Proven experience building 0-1 AI products and strategic technology implementations with measurable business outcomes.
• Proficient in JavaScript/Node.js, Python, and working with Git-based development workflows and strategic architecture planning.
• Deep familiarity with Google Cloud Platform, BigQuery, Cloud Functions, and AI-assisted development (GitHub Copilot, Cursor).
• Hands-on experience building across AI/LLM frameworks (OpenAI, Gemini, etc.) and integrating into workflows.

Marketing Technology Alignment

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