Relativity

LLM Engineer

• Define and execute long-term vision for cloud infrastructure
• Partner directly with Engineering to architect elastic and efficient systems
• Build delightful user experience by understanding pain points of developers
• Establish and own metrics for adoption, performance, and cost-efficiency
• Act as lead evangelist, building consensus across groups
• Craft and execute rollout strategies for platform usage

Group Product Manager – Cloud & AI Infrastructure

Support Engineer

• Use SQL applications and tools to run basic SQL queries
• Respond to client questions, problems, and work requests on a daily basis
• Develop an expertise in company products and services and the initiative to take an active role in sharing this knowledge with customers
• Partner with senior level team members as needed to troubleshoot and resolve customer incidents
• Follow appropriate procedures for creating, categorizing, updating, escalating, transitioning, and resolving tickets
• Monitor assigned open tickets, contact customers, and update tickets on a timely basis
• Provide responsive support to clients during normal shift hours
• Complete all daily tasks and projects
• Track time daily

Technical Support Application Analyst – 24/7

• Administer and support Human Resources Jira Project and Jira Service Management environments, including HR Service Desk operations, HR initiative and OKR tracking, and HR system change management workflows, in partnership with IT and other stakeholder teams.
• Configure and optimize workflows, request types, queues, SLAs, permissions, automations, and reporting to support effective HR service delivery, intake management, and operational visibility.
• Serve as a primary technical partner to HR stakeholders by gathering requirements, evaluating tradeoffs, and translating business needs into scalable system configurations.
• Catalogue HR policies, processes, and operational information in Confluence Cloud (Einstein) and build a structured, searchable HR Knowledge Base aligned to self-service and support workflows.
• Enable HR self-service by integrating knowledge content with HR Service Delivery intake experiences to improve resolution efficiency and employee experience.
• Provide operational support for the HR Service Desk, including ticket queue monitoring and execution of a regular quality assurance process to ensure adherence to service standards.
• Deliver medium complexity HR technology enhancements end-to-end, including analysis, configuration, testing, and release support.
• Develop and maintain technical documentation and user guidance to support adoption, consistency, and operational sustainability.
• Analyze service and project data to identify trends, risks, and opportunities for automation, standardization, and continuous improvement.
• Collaborate with HR Ops Engineering peers, IT, Security, and cross-functional partners to ensure solutions align with enterprise standards and data privacy requirements.
• Own defined HR technology domains or workstreams (e.g., HR Service Desk, HR Knowledge Base).

Group Product Manager – Cloud & AI Infrastructure

Technical Support Application Analyst – 24/7

Technical Analyst, HR – Fixed Term Contract