HR AI & Automation Operations Lead

Accountabilities

• Own the strategy and delivery of AI and automation initiatives across HR Operations, using customer and employee feedback, operational data, and business insights to identify opportunities for improvement.


• Act as the directly responsible individual for multi-phase initiatives, taking projects from discovery and process redesign through prototyping, launch, optimization, and sustainable delivery.


• Translate operational pain points into scalable automation and intelligent solutions in collaboration with Product, Engineering, Design, and IT teams.


• Map end-to-end operational processes, identify bottlenecks and inefficiencies, and design workflows that improve speed, accuracy, consistency, and scalability.


• Build and maintain integrations and data flows across HRIS, case management, payroll, and other operational platforms using native connectors, APIs, event triggers, and related technologies.


• Develop rapid automation solutions using low-code/no-code platforms such as Zapier, Make, Retool, n8n, or comparable tools.


• Deploy, manage, and govern AI tools and agents for use cases such as document processing, query triage, policy guidance, data auditing, and operational support.


• Design multi-agent workflows, including routing and maker/checker patterns, with appropriate retries, fallbacks, guardrails, and human oversight for employment-related processes.


• Establish automation observability and governance practices, including logging, tracing, agent-run evaluation, role-based access controls, and auditability appropriate for sensitive HR data.


• Ensure regulatory, statutory, privacy, and compliance requirements are embedded into automation and system design decisions.


• Develop operational data models that support reporting, audits, compliance, data integrity, and performance management.


• Build and maintain HR Operations dashboards and reports using SQL and business intelligence tools such as Tableau, Sigma, or equivalent platforms.


• Monitor operational performance and use data-driven insights to identify trends, measure outcomes, and prioritize continuous improvement.


• Lead change management, training, adoption, and continuous improvement initiatives related to AI and automation solutions.


• Serve as a technical subject-matter lead for AI and automation within Operations, helping establish scalable best practices and ways of working.


• Mentor and support junior team members while contributing to greater technical and operational maturity across the organization.


• Manage complex stakeholder conversations independently, resolving conflicts constructively and building alignment across teams.

Requirements

• Progressive experience in automation, business process optimization, systems integration, operations technology, or a related discipline.


• Experience translating operational challenges into automated or intelligent solutions in collaboration with technical and cross-functional teams.


• Experience in HR Operations, Shared Services, or comparable operational environments is strongly preferred.


• Demonstrated understanding of user experience, operational efficiency, process design, and scalable service delivery.


• Experience building automation in regulated or compliance-sensitive environments such as hiring, employment, payroll, or other HR processes.


• Strong understanding of sensitive personal data, privacy obligations, data lifecycle risks, access controls, auditability, and their impact on system and automation design.


• Extensive hands-on experience with low-code/no-code workflow platforms such as Zapier, Make, Retool, n8n, or similar technologies.


• Practical experience using light scripting languages such as Python, TypeScript, or JavaScript to build integrations, custom agents, webhooks, message queues, or supporting services.


• Experience working with APIs and integrating multiple business systems to create reliable cross-platform workflows.


• Familiarity with AI agents, multi-agent architectures, AI-assisted workflows, and responsible AI governance.


• Experience with data analytics, SQL, operational data models, and business intelligence tools such as Tableau or Sigma.


• Strong project management skills and the ability to take initiatives from early exploration through scalable implementation.


• Proven ability to work autonomously, take ownership, set direction, and deliver outcomes in a fast-moving environment.


• Strong influencing, negotiation, conflict-management, and stakeholder communication skills.


• Excellent written and verbal English communication skills.


• Proactive, curious, analytical, and solutions-oriented mindset with a strong appetite for continuous improvement.


• Ability to balance strategic thinking with hands-on technical and operational execution.


• Experience working with distributed or remote teams is an advantage.


• Basic understanding of mobility and immigration processes is a plus.

• Fully remote working environment with the flexibility to work from anywhere, subject to applicable location and employment requirements.


• Flexible working hours within an asynchronous work culture.


• Flexible paid time off.


• 16 weeks of paid parental leave.


• Health and mental health support services.


• Stock options.


• Learning and professional development budget.


• Home office budget and IT equipment.


• Budget for local in-person social events or coworking spaces.


• Global and distributed working environment with colleagues across multiple continents.


• Strong emphasis on work-life balance, autonomy, and the ability to organize your schedule around your personal needs.


• Opportunity to work at the intersection of HR, AI, automation, data, and global employment operations.


• Significant ownership over initiatives that can improve operational efficiency and employee and customer experiences at scale.


• Opportunity to help shape responsible AI and automation practices for sensitive HR workflows.


• Supportive environment focused on professional growth, continuous learning, and innovation.


• Competitive compensation aligned with role, experience, skills, location, and local market conditions.

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