Engagement Manager leading AI agent deployments from strategy to execution for enterprise customers. Driving customer outcomes and managing cross-functional teams for AI transformation initiatives.
Responsibilities
Lead End-to-End AI Agent Delivery: Own AI Agent deployments from kickoff → design → build → testing → go-live → hypercare → optimization. Conduct business and technical discovery to deeply understand customer workflows, KPIs, and success criteria.
Orchestrate a Cross-Functional Delivery Pod: Lead a matrixed delivery team including Experience Designers, AI Agent Engineers, and Telephony Engineers. Coordinate with Engineering on feature gaps, technical escalations, and roadmap alignment.
Drive Customer Outcomes & Long-Term Success: Own the success of multi-phase AI transformation programs. Post–go live, act as the customer’s primary AI Agent program lead - running QBRs, tracking KPIs, and driving continuous value.
Establish Scalable Processes & Governance: Create and refine playbooks, delivery templates, evaluation frameworks, UAT processes, hypercare models, and best practices. Ensure compliance with testing, evaluation frameworks, UAT processes, and deployment checklists. Manage timelines, deliverables, documentation, and cross-functional dependencies for multiple concurrent customer programs.
Customer Enablement & Training: Guide customers through operational readiness, change management, and best practices for scaling AI within their contact centers.
Be the Face of AI Strategy for Enterprise Customers: Present confidently to frontline leaders, IT executives, and C-suite stakeholders. Translate complex AI/technical concepts into business outcomes and guide customers through AI maturity and transformation journeys.
Requirements
5+ years in enterprise customer delivery, professional services, program management, or consulting (SaaS, AI, CX, digital transformation, or contact center domains preferred)
Proven success leading complex enterprise implementations with cross-functional and executive stakeholders.
Strong understanding of contact center KPIs like containment, AHT, CSAT, NPS, and how they influence AI Agent projects.
Comfort leading customer-facing discussions - from deep technical troubleshooting to weekly project demos.
Demonstrated ability to manage multiple projects simultaneously in fast-paced, evolving environments.
Excellent communication, training, documentation, and relationship-building skills.
Bonus points for:
Experience with Conversational AI, VoiceAI, RAG systems, or NLU/NLP platforms.
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