Staff GTM Engineer (AI & Automation) | US | 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 self-managed with the Grafana Enterprise Stack, both featuring scalable metrics (Grafana Mimir), logs (Grafana Loki), and traces (Grafana Tempo).
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote opportunity and we are looking for candidates from the U.S.
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 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 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.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
- 100% Remote, Global Culture - As a remote-only 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 high-growth, ever-evolving environment.
- Transparent Communication – Expect open decision-making and regular company-wide updates.
- Innovation-Driven – Autonomy and support to ship great work and try new things.
- Open Source Roots – Built on community-driven 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.
- In-Person onboarding - We want you to thrive from day 1 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 we’re working hard to make sure that’s 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.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our privacy policy.