Remote
AI Specialist Revenue Operations (India Remote)
About this role
The AI Specialist, Revenue Operations is responsible for building and running the AI workloads that support the global revenue organization. Revenue Operations is establishing an AI orchestration platform alongside a set of AI agents and automations that change how commercial teams work, and this role is the first dedicated build resource within it. The primary focus is twofold. The role develops automations and agent features against a defined specification, and it owns the operational work that keeps live AI systems healthy and measurably effective: evaluation, knowledge curation, monitoring and first-line diagnosis.
Technical direction and platform architecture are set by the Senior Director, Revenue Enablement & AI Transformation. This role also assists in establishing the working practices that Revenue Operations will follow. The standards this role helps set around documentation, evaluation and production readiness will determine how quickly our AI platforms can scale, and how much of the technical work can be safely devolved over time.
Core areas of impact include: Workload Development: Building AI agents, automations and integrations against a defined specification. Quality Evaluation: Establishing and running the evaluation that evidences AI agent performance. Knowledge Curation: Maintaining the knowledge bases and data that grounded AI agents depend on. Operational Support: Monitoring live AI workloads and owning first-line diagnosis of failures.
Production Readiness: Supporting the movement of AI workloads through technical and security review into production. Responsibilities: Workload Development: Builds automations and AI agent features against a written specification and within the platform's established patterns, including prompt development, retrieval and knowledge grounding. Quality Evaluation: Authors and runs evaluation test cases for AI workloads, extends coverage as those workloads change, and produces the reporting that evidences whether agent performance is improving.
Knowledge Curation: Curates and maintains the knowledge bases, content and data that grounded AI agents depend on, and prepares and transforms data for agent consumption. Workload Operations: Monitors live AI workloads, owns first-line investigation of failures, resolves issues within scope, and escalates the remainder with a clear technical diagnosis. Integration Development: Builds and maintains integrations with Revenue Operations systems through APIs and workflow orchestration tooling, with due attention to authentication, error handling and access control.