Staff AI Engineer

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. This is a remote opportunity and we are looking for candidates from Canada. Residents of Quebec are not eligible for this role. The Opportunity Grafana Labs is seeking a Staff GTM Engineer (AI & Automation) to build our next-generation AI agent and workflow systems. You'll spend most of your time writing code — designing multi-agent architectures, integrating LLM APIs, building data pipelines, and shipping automation that runs 24/7 across Marketing, RevOps, and SDR teams. Ideal for a builder who thrives at the intersection of AI, automation, and business growth. You'll execute the AI growth roadmap, building internal capabilities and integrations that streamline marketing and operational workflows across teams. You'll implement multi-agent systems that drive results across Marketing, RevOps, and SDR teams. With strong technical ability and execution focus, you'll deliver AI-first solutions that translate business bottlenecks into comprehensive, automated systems that drive measurable ROI, accelerate growth, and elevate team effectiveness across departments. This is a hands-on builder role with 60-70% coding and systems development, and 30-40% operational enablement (requirements, documentation, training, measurement, and stakeholder alignment). You'll be a key driver of Grafana's internal AI transformation by implementing governance and delivering automation that accelerates marketing and go-to-market efficiency. What You'll Be Doing Build & operate GTM automation systems • Build and operate reliable automation across custom code + orchestration tools (e.g., n8n/Workato/Make), including CI/CD, testing, deployment practices, and runbooks that keep iteration fast and safe • Implement modular, scalable, multi-agent AI systems that operate 24/7 and integrate with marketing platforms (e.g., Customer.io, Marketo, Salesforce, BigQuery) • Own technical direction for GTM automation: design data models, define API contracts, build shared libraries, and maintain reference architectures used across teams • Review code, write tests, and maintain production reliability standards Operate, enable, and scale GTM workflows • Partner with RevOps, Demand Generation, Regional Marketing, Events Marketing, & SDRs to solve workflow inefficiencies through agent-based solutions with measurable business outcomes • Create reusable workflow templates, playbooks, and "how-to" docs so partner teams can safely self-serve common automations (with clear ownership and measurement) • Provide hands-on technical support and troubleshooting for AI systems across teams Key Strategic Project: AI Chatbot Routing & Human-in-the-Loop Orchestration • Align AI chatbot systems across multiple teams (Marketing, SDR, Customer Success) to create unified prospect interaction routing • Build intelligent routing logic that determines when and how to engage human resources in prospect interactions • Implement tracking and analytics to measure routing effectiveness and refine human-in-the-loop triggers • Create scalable patterns for prospect intent classification and optimal channel/resource assignment • Define SLAs, failure modes, and fallback pathways (when routing is uncertain, when systems are down, when confidence is low) • Instrument end-to-end funnel metrics (handoff time, qualification accuracy, meeting set rate, pipeline influence) and iterate AI Implementation & Operational Excellence • Build and maintain secure, documented systems with robust PII controls, compliance protocols, and permission frameworks • Implement company-wide standards for AI prompt engineering, version control, testing, observability, and business impact measurement • Create internal training materials, best practices documentation, and scalable frameworks for AI tools that enable cross-functional team succes