Senior Software Engineer - AI and Automation, Data & Analytics | USA | Remote

Grafana Labs is a remote-first, open-source powerhouse with over 20 million users of its visualization tool. They are seeking a Senior Software Engineer focused on building AI-powered internal tools and workflows for their GTM teams, responsible for developing automation across various business functions.

Responsibilities:

• 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
• 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
• 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
• 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

Requirements:

• 5+ years of software engineering experience, including backend development and systems integration work
• Strong proficiency in Python (preferred) or Javascript/Node.js
• Hands-on experience with LLM APIs (OpenAI, Anthropic Claude, or similar) and orchestration libraries (LangChain, LlamaIndex, Anthropic MCP, Semantic Kernel, etc.)
• Comfortable building internal APIs, microservices, or serverless systems (GCP Cloud Functions, Cloud Run, AWS Lambda, or similar)
• Familiarity with SQL and data warehouses (BigQuery preferred)—you understand how to query, structure, and pipeline data for AI workflows
• Experience with authentication patterns, secure API handling, rate limiting, and workflow automation
• Proven ability to deliver AI-powered features in production environments—you've shipped tools that real users depend on
• Strong problem selector who can identify high-leverage initiatives and push back on low-impact requests
• Thrives in ambiguous, fast-moving projects; able to balance experimentation with engineering rigor
• Clear technical communicator—you can explain complex systems in simple terms and collaborate effectively with product and data stakeholders
• Comfort with autonomy—you identify the right questions, structure unstructured problems, and drive work independently
• Experience with frontend frameworks & tooling (React, Slack Block Kit, dashboard components) to build user-facing interfaces for AI tools
• Familiarity with GTM platforms like Salesforce, HubSpot, Outreach, Gainsight, or similar CRM/sales engagement tools
• Experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, pgvector, or similar)
• Prior work automating sales, customer success, or marketing workflows in a B2B SaaS environment
• Experience with workflow automation platforms like n8n, Prefect, Clay, PhantomBuster, Apify, Dust, or similar tools
• Familiarity with Model Context Protocol (MCP) or similar standards for connecting AI systems to data sources and tools
• Exposure to observability tools for AI systems (LangSmith, Weights & Biases, custom logging/evaluation frameworks)
• Experience working in Revenue Operations, GTM Analytics, or Sales Operations environments
• Previous experience in open source or developer-focused SaaS companies
• Familiarity with or exposure to graph databases and their use in RAG systems (Neo4J, Memgraph, Puppygraph)