The role focuses on building and operating next-generation AI agent and workflow systems, spending 60-70% of time coding to design multi-agent architectures, integrate LLM APIs, and ship automation across Marketing, RevOps, and SDR teams. Key tasks include owning technical direction for GTM automation, implementing governance, and driving internal AI transformation through measurable solutions.
Candidates need over 7 years building production systems and integrations, with at least 2 years applying LLMs/AI to production workflows, demonstrating proven delivery of AI-enabled systems with measurable business outcomes. Strong proficiency in Python, JavaScript/Node.js, Git workflows, and familiarity with Google Cloud Platform, BigQuery, and LLM frameworks like RAG and agent orchestration are essential.
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, enabling organizations to see, understand, and act on all their disparate data so they can move at the speed of their ambitions. Today, more than 25 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. Follow Grafana Labs on LinkedIn and Twitter or visit grafana.com.