Senior Software Engineer - AI and Automation, Data & Analytics

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 would be interested in applicants from Canada time zones only at this time. Senior Software Engineer - AI and Automation The Opportunity: Grafana's Revenue Operations organization is looking for a Senior Software Engineer focused on building AI-powered internal tools and agentic workflows for our GTM teams. You'll own the technical infrastructure that powers automation across Sales, Customer Success, and Marketing—from agentic skills that automate SDR outreach to backend services that connect AI models to Salesforce, Slack, BigQuery, and internal data platforms. You'll be the technical architect behind systems that give every GTM team member leverage. Part systems builder and part problem detective, you'll identify bottlenecks across the business, design automated solutions using LLM APIs and orchestration frameworks, and ship tools that people actually use. Your work will directly shape how Grafana's GTM organization scales. You'll partner closely with Data Engineering, GTM Systems, Field Operations, and GTM leadership to build scalable, self-service automation that reduces manual work and surface intelligence. What You'll Be Doing: Agentic Tool Development • Own end-to-end development of agentic and AI-integrated workflows: design, implementation, testing, deployment, and maintenance • Build modular, composable agentic systems using frameworks like LangChain, CrewAI, Anthropic MCP, or similar orchestration libraries • Develop "agentic skills" for SDR and CSM teams—reusable capabilities that agents can invoke across interfaces (Slack, dashboards, internal apps) • Implement observability and feedback loops: logging, performance metrics, prompt iteration, and model evaluation Systems Integration & Backend Services • Build MCP servers, CLIs and APIs and microservices that connect AI models to business systems: Salesforce, BigQuery, Slack, HubSpot, email, calendars, analytics tools • Architect data flows that enable retrieval-augmented generation (RAG): connecting LLMs to internal knowledge bases, customer data in BigQuery, Salesforce data, and real-time business context • Build serverless or containerized services (GCP Cloud Functions, Cloud Run, or similar) that scale with usage and integrate with Grafana's cloud infrastructure GTM Automation & Workflow Manufacturing • Scope high-impact automation problems autonomously by shadowing Sales, Customer Success, and Marketing teams to identify efficiency gaps • Design and deploy automation workflows using tools like n8n, Zapier, Prefect, or custom orchestration platforms • Build systems designed for self-service, with documentation and enablement materials that let others operate them independently. Collaboration & Technical Leadership • Partner with GTM Analytics, Field Operations, Strategy & Planning, and GTM Systems teams to scope, prioritize, and refine use cases • Collaborate with Data Engineering to source and structure relevant data for agentic and AI-enabled workflows • Communicate technical constraints and trade-offs clearly to non-technical stakeholders across Revenue Operations and GTM leadership • Establish and champion governance and compliance standards to AI workflows, including access controls, audit trails, and human-in-the-loop escalation path, setting the bar for responsible use of sensitive customer and business data. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong cod