Senior Software Engineer - AI and Automation, Data & Analytics

at Grafana Labs

📍 Canada

CAD 164,500-197,400 per year

SENIOR

✅ Remote

Used Tools & Technologies

Not specified

Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

Marketing @ 4 Grafana @ 4 Python @ 7 SQL @ 3 GCP @ 4 Leadership @ 4 AWS @ 4 Communication @ 7 Data Engineering @ 4 JavaScript @ 7 React @ 4 Node.js @ 7 Microservices @ 4 Slack @ 4 API @ 4 Technical Leadership @ 4 AWS Lambda @ 4 LLM @ 4 Audit @ 4 Compliance @ 4 Salesforce @ 4 Codex @ 4 Observability @ 4 AI @ 4 RAG @ 4 LangChain @ 4

Details

Grafana Labs is a remote-first, open-source powerhouse with more than 20M users of Grafana and customers including Bloomberg, JPMorgan Chase, and eBay. The company builds the Grafana LGTM Stack (metrics, logs, traces) and offers managed and self-managed products (Grafana Cloud, Grafana Enterprise Stack).

This is a remote opportunity for applicants in Canada time zones only.

Responsibilities

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 paths

Grafana invests heavily in developer productivity and supports modern AI coding assistants and access to frontier models (examples listed: GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

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)
Experience with authentication patterns, secure API handling, and rate limiting
Proven ability to deliver AI-powered features in production environments
Ability to identify high-leverage initiatives and work autonomously in ambiguous, fast-moving projects
Strong technical communication skills and the ability to collaborate with product and data stakeholders

Bonus Points For

Experience with frontend frameworks & tooling (React, Slack Block Kit)
Familiarity with GTM platforms like Salesforce, HubSpot, Outreach, Gainsight
Experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, pgvector)
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
Familiarity with Model Context Protocol (MCP) or similar standards
Exposure to observability tools for AI systems (LangSmith, Weights & Biases)
Experience in Revenue Operations, GTM Analytics, or Sales Operations environments
Previous experience in open source or developer-focused SaaS companies

Compensation & Rewards

Base compensation range for Canada: CAD 164,490 - CAD 197,389
Roles include Restricted Stock Units (RSUs)
Compensation ranges are country specific; candidates applying from other locations will have market-specific ranges discussed by a recruiter

Other Notes

In-person onboarding is mentioned as part of the role
Grafana Labs is an Equal Opportunity Employer and may utilize AI tools in its recruitment process
Location constraint: remote applicants should be in Canada time zones