Job Title

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). Were scaling fast and staying true to what makes us different: an opensource legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovationdriven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and thats okay. If this role excites you, wed love you to raise your hand for what could be a truly careerdefining opportunity. 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 looking for a Staff AI Engineer, People Technology to help build the next generation of AIpowered systems that support our global workforce and People programs. This role sits within the People Technology team, partnering closely with People Operations, Talent Acquisition, Enablement, Finance, and GotoMarket teams to design intelligent workflows and data products that improve how we hire, develop, and support Grafanistas worldwide. At Grafana Labs, we believe AI should be actually useful. Our approach to AI is grounded in solving real problems and creating practical tools that help teams work better. As part of this philosophy, youll apply AI thoughtfully within our People systems, building solutions that improve how we operate and support team members. As our first People Team AI Engineer, youll architect and implement AIdriven solutions that unlock insights from our People data ecosystem, including BigQuery and systems such as Workday, Greenhouse, Docebo, Tangelo, and Salesforce. Your work will focus on creating scalable data pipelines, automation, and AIpowered workflows that drive operational efficiency and deliver actionable insights for People leaders. This role requires both technical depth and a strong understanding of data governance, privacy, and responsible AI practices. Youll help establish standards for anonymization, ethical AI usage, and secure handling of sensitive People data while building systems that empower the People team to make datainformed decisions. As a Stafflevel engineer, you will also set technical direction, mentor other engineers, and influence how AI is adopted and governed across the broader organization, not just within the People team. This is an opportunity to play a foundational role in shaping how AI supports the employee lifecycle at Grafana Labs, from recruiting and onboarding to development, engagement, and workforce planning. What You''ll Be Doing AI Architecture & People Data Intelligence Design and build AIpowered workflows, agents, and analytics tools that transform People data into actionable insights and reduce manual processes across the People Team Architect solutions that leverage BigQuery as the central data layer, integrating platforms such as Workday, Greenhouse, Docebo, Tangelo, Salesforce, and other internal systems Establish and maintain CI/CD pipelines, testing frameworks, and observability standards for AI systems and automated workflows Define prompt engineering standards, version control practices, and evaluation frameworks for LLMbased systems operating on People data Partner with People Analytics to ensure AI systems operate on wellgoverned, highquality datasets and align with established workforce metrics and data models Build internal dashboards, AI assistants, or automated workflows that support reporting, insights, and operational efficiency Collaborate with People partners to translate business problems into scalable technical solutions Define and track success metrics and measurable business outcomes for AI initiatives, including efficiency gains, time savings, and decision quality improvements Responsible AI, Security & Data Governance Design systems that securely handle sensitive employee data using anonymization, aggregation, and robust access controls Establish governance standards for AI models, prompts, and automation workflows, ensuring compliance with internal security, privacy, and regulatory requirements Implement monitoring and evaluation frameworks that ensure AI systems operate accurately, fairly, and reliably over time Cross-Functional Collaboration & Enablement Partner closely with Data Engineering and teams across People, IT, Security and Privacy, Finance, and GTM Operations to align data architecture and AI capabilities Collaborate with other AI Engineers across the organization to align on architecture patterns, shared tooling, and companywide AI standards Document systems, architecture decisions, and governance frameworks for People AI initiatives Help establish internal standards for AI experimentation, deployment, and measurement of impact Provide guidance and enablement to People teams adopting AIdriven tools and workflows Create training materials, playbooks, and scalable frameworks that enable People team members to confidently build, trigger, and measure AIassisted workflows independently Technical Leadership Set technical direction for AI architecture within the People technology ecosystem Mentor and provide technical guidance to engineers and technical partners working on adjacent systems Influence crossfunctional architecture decisions, advocating for responsible, scalable, and wellgoverned AI practices across the organization Drive alignment between AI initiatives and broader engineering standards, ensuring People systems are not built in isolation What Makes You a Great Fit 7+ years of engineering or data engineering experience, including 2+ years working with AI/ML systems or LLMbased workflows. Demonstrated ability to set technical direction, mentor engineers, and drive organizationwide impact through AI or automation initiatives Strong experience working with Google Cloud Platform and BigQuery for data processing and analytics Proficiency in Python, SQL, modern APIs, and LLM platforms or frameworks (OpenAI, Gemini, Claude, or similar), including integrating enterprise SaaS systems such as HRIS or CRM platforms Experience designing scalable data pipelines, automation frameworks, and analytics platforms, with a strong knowledge of data modeling, ETL/ELT pipelines, and analytics infrastructure Experience working with sensitive data environments and implementing responsible AI practices, including anonymization, access controls, governance, and regulatory considerations when applying AI to People data Ability to partner with both technical and nontechnical stakeholders to define and deliver solutions, document systems clearly, and translate evolving business needs into scalable technical solutions Bonus Points Experience working with HR technology ecosystems such as Workday, Greenhouse, and learning platforms Background in People Analytics or workforce analytics platforms Experience building internal AI tools, copilots, or automation agents for business teams Familiarity with workflow automation platforms (Zenphi, n8n, Workato, Zapier, Make, etc.) Experience working in highgrowth SaaS or distributed organizations Contributions to AI governance frameworks, responsible AI standards, or opensource AI tooling 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 outcomesRSUs 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 markets defined pay range & benefits at the beginning of the process. Why Youll Thrive At Grafana Labs 100% Remote, Global Culture As a remoteonly 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 highgrowth, everevolving environment. Transparent Communication Expect open decisionmaking and regular companywide updates. InnovationDriven Autonomy and support to ship great work and try new things. Open Source Roots Built on communitydriven 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. InPerson 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 were working hard to make sure thats 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. For information about how your personal data is used once youve applied to a job, check out our privacy policy. #J-18808-Ljbffr