Staff GTM Engineer (AI & Automation)

at Grafana Labs

📍 United States

USD 175,000-210,000 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 GitHub @ 6 CI/CD @ 4 Technical Proficiency @ 6 Communication @ 4 Git @ 4 JavaScript @ 7 Node.js @ 7 CRM @ 4 API @ 4 Workato @ 4 LLM @ 4 Compliance @ 4 Salesforce @ 4 Claude Code @ 6 Observability @ 4 AI @ 4 RAG @ 4 Data Pipelines @ 4 Prompt Engineering @ 4

Details

Grafana Labs is seeking a Staff GTM Engineer (AI & Automation) to build next‑generation AI agent and workflow systems that streamline marketing and operational workflows across teams. You will 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. This is a hands-on builder role (60–70% coding and systems development; 30–40% operational enablement) focused on implementing governance and delivering automation that accelerates marketing and go-to-market efficiency.

Responsibilities

Build & operate GTM automation systems

Build and operate reliable automation across custom code and orchestration tools (examples: n8n, Workato, Make), including CI/CD, testing, deployment practices, and runbooks
Implement modular, scalable, multi-agent AI systems that operate 24/7 and integrate with marketing platforms (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

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 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: AI Chatbot Routing & Human-in-the-Loop Orchestration

Align AI chatbot systems across Marketing, SDR, and Customer Success to create unified prospect interaction routing
Build intelligent routing logic and human-in-the-loop orchestration, define SLAs, failure modes and fallback pathways
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
Support ongoing AI adoption through hands-on technical assistance and system optimization

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 (examples: GitHub Copilot, Cursor, Claude Code)

Systems & operational skills

Experience implementing automation systems, building agent workflows, and maintaining scalable infrastructure
Proven ability to execute and prioritize 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

Mindset & approach

Hands-on builder who ships solutions and enables colleagues to build on your work
Comfortable with ambiguity and high autonomy; transparent decision-making and iterative delivery
Experience with multi-agent systems, state management across handoffs, and production mitigations for LLM failure modes

Compensation

In the United States, the base compensation range for this role is USD $174,986 - USD $209,983. Actual compensation may vary based on level, experience, and skillset. All roles include Restricted Stock Units (RSUs).

Why You’ll Thrive at Grafana Labs

100% Remote, Global Culture; remote-first company
Scaling organization with meaningful work in a high-growth environment
Transparent communication, innovation-driven, open-source roots
In-person onboarding; global annual leave policy (30 days per annum, including 3 Grafana Shutdown Days)