Staff GTM Engineer (AI & Automation)

This is a remote opportunity and we are looking for candidates from Canada. Residents of Quebec are not eligible for this role.

The Opportunity

Grafana Labs is seeking a Staff GTM Engineer (AI & Automation) to build our next-generation AI agent and workflow systems. You'll spend most of your time writing code — designing multi-agent architectures, integrating LLM APIs, building data pipelines, and shipping automation that runs 24/7 across Marketing, RevOps, and SDR teams. Ideal for a builder who thrives at the intersection of AI, automation, and business growth.

You'll execute the AI growth roadmap, building internal capabilities and integrations that streamline marketing and operational workflows across teams. You'll implement multi-agent systems that drive results across Marketing, RevOps, and SDR teams. With strong technical ability and execution focus, you'll deliver AI-first solutions that translate business bottlenecks into comprehensive, automated systems that drive measurable ROI, accelerate growth, and elevate team effectiveness across departments.

This is a hands-on builder role with 60-70% coding and systems development, and 30-40% operational enablement (requirements, documentation, training, measurement, and stakeholder alignment). You’ll be a key driver of Grafana’s internal AI transformation by implementing governance and delivering automation that accelerates marketing and go-to-market efficiency.

What You'll Be Doing

Build & operate GTM automation systems

• Build and operate reliable automation across custom code + orchestration tools (e.g., n8n/Workato/Make), including CI/CD, testing, deployment practices, and runbooks that keep iteration fast and safe

• Implement modular, scalable, multi-agent AI systems that operate 24/7 and integrate with marketing platforms (e.g., Customer.io, Marketo, Salesforce, BigQuery)

• Own technical direction for GTM automation: design data models, define API contracts, build shared libraries, and maintain reference architectures used across teams

• Review code, write tests, and maintain production reliability standards

Operate, enable, and scale GTM workflows

• Partner with RevOps, Demand Generation, Regional Marketing, Events Marketing, & SDRs to solve workflow inefficiencies through agent-based solutions with measurable business outcomes

• Create reusable workflow templates, playbooks, and “how-to” docs so partner teams can safely self-serve common automations (with clear ownership and measurement)

• Provide hands-on technical support and troubleshooting for AI systems across teams

Key Strategic Project: AI Chatbot Routing & Human-in-the-Loop Orchestration

• Align AI chatbot systems across multiple teams (Marketing, SDR, Customer Success) to create unified prospect interaction routing

• Build intelligent routing logic that determines when and how to engage human resources in prospect interactions

• Implement tracking and analytics to measure routing effectiveness and refine human-in-the-loop triggers

• Create scalable patterns for prospect intent classification and optimal channel/resource assignment

• Define SLAs, failure modes, and fallback pathways (when routing is uncertain, when systems are down, when confidence is low)

• Instrument end-to-end funnel metrics (handoff time, qualification accuracy, meeting set rate, pipeline influence) and iterate

AI Implementation & Operational Excellence

• Build and maintain secure, documented systems with robust PII controls, compliance protocols, and permission frameworks

• Implement company-wide standards for AI prompt engineering, version control, testing, observability, and business impact measurement

• Create internal training materials, best practices documentation, and scalable frameworks for AI tools that enable cross-functional team success

• Support ongoing AI adoption through hands-on technical assistance and system optimization

What Makes You a Great Fit

Technical Proficiency

• 7+ years building production systems and integrations (software engineering, data/analytics engineering, business systems, or GTM engineering)

• 2+ years hands-on experience applying LLMs/AI to production workflows — not just prototypes

• Proven experience delivering AI-enabled systems or automation (0→1 or major expansions) with measurable business outcomes

• Strong in Python and JavaScript/Node.js with Git-based development workflows, code review practices, and testing discipline

• Deep familiarity with Google Cloud Platform, BigQuery, and Cloud Functions

• Hands-on experience with LLM frameworks and patterns: prompt engineering, RAG, function calling/tool use, agent orchestration, structured output parsing, and evaluation

• Fluent with AI-assisted development tools (GitHub Copilot, Cursor, Claude Code) — you use AI to build AI systems

Systems Implementation & Operational Excellence

• Experience implementing automation systems, building agent workflows, and maintaining scalable infrastructure

• Proven ability to execute, prioritize, and deliver high-ROI AI automation projects

• Strong documentation skills and ability to communicate clearly with technical and business audiences

• Experience integrating with Salesforce (or similar CRM) and at least one marketing automation platform (Customer.io / HubSpot / Marketo)

• Background working with analytics, segmentation, and personalization platforms

Mindset & Approach

• A hands-on builder who helps others thrive, where you ship solutions and enable colleagues to build on your work

• Comfortable working in ambiguity with high autonomy and you scope your own work, follow through on commitments, and default to transparency when making technical decisions

• Favors progress over perfection by shipping iteratively, learn from production, and improve continuously

• Seeks diverse perspectives when designing systems, gather input from the teams who'll use what you build, not just the ones who requested it

AI & Agent Systems

• Experience building multi-agent systems: agent decomposition, orchestration patterns (sequential chains, router/dispatcher, parallel fan-out), state management across handoffs

• Understanding of LLM failure modes and production mitigations: confidence thresholds, fallback logic, human escalation, cost/latency management

• Experience with systematic LLM evaluation: golden datasets, regression testing, A/B testing prompts, monitoring for drift

• Familiarity with conversational AI, chatbot development, and routing logic

Bonus Points

• Background in B2B SaaS or GTM operations 

• Active in open-source communities

• Experience with workflow orchestration platforms (n8n, Temporal, Prefect, Airflow)

In Canada, the base compensation range for this role is CAD 186,368- CAD 223,642. 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 outcomes—RSUs help us stay aligned and invested as we scale globally.