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.
Grafana Labs is seeking a Staff AI Growth Engineer to architect and lead the development of our next-generation AI agent and workflow systems. This role is not a support desk - it is a strategic leadership position focused on AI innovation, system design, cross-departmental enablement, and scalable business automation. You will own the AI growth roadmap, shaping internal capabilities and integrations that streamline marketing and operational workflows across teams.
Ideal for a strategic systems architect and technical leader with deep AI integration experience, this role requires strong coding ability, an eye for operational scalability, and business acumen. The right candidate translates business bottlenecks into comprehensive, automated solutions that drive measurable ROI, accelerate growth, and elevate team effectiveness across departments.
What You’ll Be Doing:Strategic Architecture & Technical Leadership- Own the architecture and development of AI-powered systems, workflows, and multi-agent platforms across marketing operations and extended business functions
- Build and maintain scalable cloud-based infrastructure (GCP) and workflow automation via no-code/low-code platforms (Make.com, n8n, Workato) with focus on high-impact business applications.
- Drive modular, scalable, multi-agent AI systems that operate 24/7 and integrate with marketing platforms (e.g., Customer.io, Marketo, Salesforce, BigQuery).
- Develop CI/CD pipelines and scalable automation frameworks.
- Lead strategic AI transformation initiatives across cross-functional teams while maintaining technical ownership of core systems and strategic direction
- Partner with RevOps, Demand Generation, Regional Marketing, Events Marketing, & SDRs to identify workflow inefficiencies and deliver agent-based solutions with measurable business outcomes.
- Design templates and governance models that enable teams to build, trigger, and measure AI solutions independently.
- Build and maintain secure, documented systems with robust PII controls, compliance protocols, and strategic permission frameworks
- Establish and drive company-wide standards for AI prompt engineering, version control, testing, observability, and business impact measurement
- Provide internal training, best practices, and scalable documentation frameworks for AI tools that enable cross-functional team success and organizational AI adoption.
- 8+ years of experience in engineering or systems development with 2+ years focused on AI-first development.
- Proven experience building 0-1 AI products and strategic technology implementations with measurable business outcomes.
- Proficient in JavaScript/Node.js, Python, and working with Git-based development workflows and strategic architecture planning.
- Deep familiarity with Google Cloud Platform, BigQuery, Cloud Functions, and AI-assisted development (GitHub Copilot, Cursor).
- Hands-on experience building across AI/LLM frameworks (OpenAI, Gemini, etc.) and integrating into workflows.
- Demonstrated experience integrating with Customer.io, Hubspot, Marketo, and Salesforce.
- Expertise in building lead enrichment, routing, scoring, and governance workflows.
- Background working with analytics, segmentation, and personalization platforms.
- Experience designing automation roadmaps, agent hierarchies, and reusable infrastructure.
- Proven ability to scope, prioritize, and deliver high-ROI AI automation projects.
- Strong documentation, stakeholder communication, and presentation skills across technical and business audiences
- A strategic systems thinker who integrates technical rigor with practical business applications and drives measurable outcomes
- A technical leader and proactive collaborator who mentors, enables, and scales others without assuming support burden
- Comfortable working in ambiguity, building frameworks to drive repeatability and efficiency.
- Demonstrates curiosity, experimentation, and evolving knowledge in the AI development ecosystem.
Compensation & Rewards:
In the United States, the base compensation range for this role is $178,000 - $215,000. 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
Top Skills
Similar Jobs
What you need to know about the Boston Tech Scene
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
