About this role
The AI Orchestration Engine Operations role operationalizes the signals, playbooks and AI assets that make the orchestration engine useful in day-to-day Customer Success Services work. The role turns strategic priorities into clear signal definitions, measurable criteria and repeatable operating procedures. This individual partners with business and technical teams to ensure signals are documented, reliable, actionable and continuously improved.
Key Responsibilities
• Define and operationalize new signals, including business purpose, trigger conditions, source systems, data quality criteria, owners and intended actions.
• Create signal metrics, thresholds and validation routines that support consistent interpretation and operational use.
• Develop and maintain signal documentation, playbooks, standard operating procedures and knowledge assets for end users and operators.
• Create, configure or operationalize AI assets that support signal triage, insight generation, recommended actions and workflow execution.
• Partner with data, engineering and business teams to investigate signal quality issues, gaps and adoption barriers.
• Track signal performance, usage and outcomes; recommend enhancements based on operational feedback and measured impact.
Key Qualifications
• 5-8+ years of experience in business operations, analytics, Customer Success Services operations, process improvement or technical program support.
• Strong & proven track record of defining operational metrics, data criteria, procedures and playbooks for business processes.
• Working knowledge of AI-enabled workflows, analytics and the practical considerations of using signals to drive action.
• Strong attention to detail, documentation discipline and ability to work effectively across business and technical teams.
• Experience with Customer Success Services data, applications, OCI or enterprise operational platforms is preferred.
Education
Bachelor degree or equivalent experience is required. Relevant formal training or certifications in AI, cloud technology, program management, change management, analytics or the role specialty are an advantage.