Design and build AI-powered 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 LLM-based systems operating on People data.
Partner with People Analytics to ensure AI systems operate on well-governed, high-quality 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.
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.
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 company-wide 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 AI-driven tools and workflows.
Create training materials, playbooks, and scalable frameworks that enable People team members to confidently build, trigger, and measure AI-assisted workflows independently.
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 cross-functional architecture decisions, advocating for responsible, scalable, and well-governed AI practices across the organization.
Drive alignment between AI initiatives and broader engineering standards, ensuring People systems are not built in isolation.

Requirements

7+ years of engineering or data engineering experience, including 2+ years working with AI/ML systems or LLM-based workflows. Demonstrated ability to set technical direction, mentor engineers, and drive organization-wide 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 non-technical stakeholders to define and deliver solutions, document systems clearly, and translate evolving business needs into scalable technical solutions.

Benefits

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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI systemsML systemsLLM-based workflowsPythonSQLBigQuerydata modelingETLELTdata processing

Soft Skills

mentoringcollaborationcommunicationtechnical directioninfluencedocumentationproblem-solvingstakeholder engagementguidanceenablement