Staff GTM Engineer (AI & Automation)

Details

Grafana Labs is a remote-first, open-source company used by millions worldwide. The company helps organizations manage observability with tools for metrics (Mimir), logs (Loki), and traces (Tempo). This role is a remote opportunity for candidates located in Canada (residents of Quebec are not eligible).

Opportunity

Grafana Labs is hiring a Staff GTM Engineer (AI & Automation) to build the next-generation AI agent and workflow systems. The role focuses on designing multi-agent architectures, integrating LLM APIs, building data pipelines, and shipping automation that runs 24/7 across Marketing, RevOps, and SDR teams. Expect ~60–70% hands-on coding and systems development and ~30–40% operational enablement (requirements, documentation, training, measurement, and stakeholder alignment).

You will execute the AI growth roadmap to build internal capabilities and integrations that streamline marketing and operational workflows, implement multi-agent systems, and deliver AI-first solutions that translate business bottlenecks into automated systems with measurable ROI.

Responsibilities

• Build and operate GTM automation systems combining custom code and orchestration tools (examples: n8n, Workato, Make), including CI/CD, testing, deployment practices, and runbooks.
• Implement modular, scalable, multi-agent AI systems operating 24/7 and integrating 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.
• Review code, write tests, and maintain production reliability standards.
• Partner with RevOps, Demand Generation, Regional Marketing, Events Marketing, and SDRs to solve workflow inefficiencies via agent-based solutions with measurable outcomes.
• Create reusable workflow templates, playbooks, and documentation so partner teams can self-serve common automations with clear ownership and measurement.
• Provide hands-on technical support and troubleshooting for AI systems across teams.

Key strategic project responsibilities (example):

• Align AI chatbot systems across teams to create unified prospect interaction routing and build intelligent routing logic with human-in-the-loop orchestration.
• Implement tracking and analytics to measure routing effectiveness and refine triggers.
• Define SLAs, failure modes, fallback pathways, and instrument funnel metrics (handoff time, qualification accuracy, meeting set rate, pipeline influence).

Requirements

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.
• 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).

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 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.

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).

Compensation

• In Canada, the base compensation range for this role is CAD 186,368 - CAD 223,642. Roles include Restricted Stock Units (RSUs). Compensation ranges are country-specific.

Why You’ll Thrive at Grafana Labs

• 100% remote, global culture; in-person onboarding.
• Scaling organization with transparent communication and innovation-driven environment.
• Career growth pathways, empowered teams, and a high-trust culture.
• Global annual leave policy of 30 days per annum (subject to local legislation).

Equal Opportunity & Privacy

• Grafana Labs is an equal opportunity employer and may utilize AI tools in its recruitment process. For information about personal data usage, see the applicant privacy policy linked in the original posting.