Engage in a three - year PhD program focused on developing AI frameworks to enhance automotive product innovations. Collaborate with industry partners and research institutions in advanced engineering.
About the role
- 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.
- Hands-on experience to CCaaS platforms (Genesys, NICE, Amazon Connect, Five9, Talkdesk, Zoom Contact Center).
Benefits
- Competitive compensation including equity
- Excellent medical, dental, and vision insurance options
- Flexible time off
- 10 Company holidays + Winter Break and up to 16-weeks of parental leave
- 401K plan
- Quarterly Lifestyle Spend
- Monthly Mobile + Internet Stipend
- Pre-tax Commuter Benefits
Job title
Job type
Experience level
Salary
Degree requirement
Location requirements
AI Trainer responsible for delivering training on AI and Cloud technologies with flexible scheduling. Engaging participants through webinars and workshops for an international media organization.
Principal Director leading applied AI initiatives at Aerospace Corporation focused on national security and advanced infrastructure. Driving innovation through AI and cloud integration for complex space systems.
Busperson role at ai Pazzi restaurant in Las Vegas, maintaining dining room standards and assisting servers. Providing excellent guest service and adhering to department policies.
Specialist in Gen AI Development at Sun Life working on innovative technologies and solutions. Collaborating with teams to implement GenAI technologies and improve existing processes.
Werkstudent in Condition Monitoring mit Embedded AI at Fraunhofer in Nürnberg. Developing solutions for embedded AI systems in a flexible part - time role.
Supports planning and organization of research projects in Human AI - Interaction at Fraunhofer Institute. Involves interdisciplinary teamwork and various research methodologies.
Specialist in Gen AI Development at Sun Life, a leading financial services company. Focusing on app development and design with cloud technologies and Gen AI applications.
AI Project Delivery Manager leading the delivery of meaningful AI, Analytics, and Reporting projects at Orica. Transforming business needs into real solutions and guiding data delivery teams.
Senior AI VFX Engineer driving executive engagement with media leaders at Adobe. Overseeing VFX workflow innovations and establishing best practices in media and entertainment sectors.