Job Title

Senior Software Engineer - AI and Automation, Data & Analytics | Canada | 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 selfmanaged with the Grafana Enterprise Stack, both featuring scalable metrics (Grafana Mimir), logs (Grafana Loki), and traces (Grafana Tempo). Were scaling fast and staying true to what makes us different: an opensource legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovationdriven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and thats okay. If this role excites you, wed love you to raise your hand for what could be a truly careerdefining 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 AIpowered internal tools and agentic workflows for our GTM teams. You''ll own the technical infrastructure that powers automation across Sales, Customer Success, and Marketingfrom 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, selfservice automation that reduces manual work and surface intelligence. What Youll Be Doing: Agentic Tool Development Own endtoend development of agentic and AIintegrated 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 teamsreusable 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 retrievalaugmented generation (RAG): connecting LLMs to internal knowledge bases, customer data in BigQuery, Salesforce data, and realtime 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 highimpact 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 selfservice, 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 AIenabled workflows Communicate technical constraints and tradeoffs clearly to nontechnical stakeholders across Revenue Operations and GTM leadership Establish and champion governance and compliance standards for AI workflows, including access controls, audit trails, and humanintheloop escalation paths, 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 companyfunded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AIassisted development: faster prototyping, test generation, refactors, documentation, and incident followupsalways paired with strong code review and quality standards. Youll also have access to frontier models (e.g., GPTCodex 5/3, Claude Opus 4.6, Gemini 3 Pro). What Makes You a Great Fit / Requirements: 5+ years of software engineering experience, including backend development and systems integration work Handson 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 AIpowered features in production environments you''ve shipped tools that real users depend on Strong problem selector who can identify highleverage initiatives and push back on lowimpact requests Thrives in ambiguous, fastmoving 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 Bonus Points For: Experience with frontend frameworks & tooling (React, Slack Block Kit, dashboard components) to build userfacing 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 developerfocused SaaS companies Familiarity with or exposure to graph databases and their use in RAG systems (Neo4J, Memgraph, Puppygraph) Compensation & Rewards: In Canada, the base compensation range for this role is CAD164,490CAD197,389. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs'' success. We believe in shared outcomesRSUs help us stay aligned and invested as we scale globally. Why Youll Thrive at Grafana Labs: 100% Remote, Global Culture As a remoteonly company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization Tackle meaningful work in a highgrowth, everevolving environment. Transparent Communication Expect open decisionmaking and regular companywide updates. InnovationDriven Autonomy and support to ship great work and try new things. Open Source Roots Built on communitydriven values that shape how we work. Empowered Teams High trust, low ego culture that values outcomes over optics. Career Growth Pathways Defined opportunities to grow and develop your career. Approachable Leadership Transparent execs who are involved, visible, and human. Passionate People Join a team of smart, supportive folks who care deeply about what they do. InPerson onboarding We want you to thrive from day1 with your fellow new Grafanistas to learn all about what we do and how we do it. Balance is Key We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.We will comply with local legislation where applicable. Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and were working hard to make sure thats the foundation of our organization as we grow. *Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. For information about how your personal data is used once youve applied to a job, check out our privacy policy. #J-18808-Ljbffr