Job Snapshot
Role: Product Owner - Conversational AI
Location: Dubai, United Arab Emirates
Industry: Automotive
Function: Product Management
Experience: 8-10 years
Job Type: Full‑time
Country: United Arab Emirates
City: Dubai
Salary: 30,000-45,000 (estimated)
Context
The Product Owner - Conversational AI will convert customer experience challenges into working AI products rather than limiting the role to roadmaps, coordination, or documentation. The position owns the complete build cycle, covering customer journey design, rapid prototyping, live testing, deployment, measurement, and continuous improvement. The successful candidate will work directly with large language models, APIs, voice platforms, agent architectures, and AI development tools. Using real interaction data, the Product Owner will improve resolution rates, conversion, customer satisfaction, service consistency, and cost efficiency across Al‑Futtaim Automotive brands.
Key Responsibilities
- Personally design, prototype, test, and launch conversational AI and voice AI experiences.
- Build practical AI solutions across chat, telephone, web, mobile, and other customer service channels.
- Work directly with large language models, APIs, prompt systems, development environments, and agent‑based architectures.
- Manage the complete product loop from initial hypothesis and prototype through live deployment and optimization.
- Design customer journeys, dialogue structures, call flows, decision paths, and escalation rules.
- Create reliable human handover processes for interactions that require specialist or operational support.
- Develop multi‑agent orchestration patterns for complex customer enquiries and service journeys.
- Analyze live conversation data to identify failure points, customer intent, abandonment, and improvement opportunities.
- Improve automated resolution rates while maintaining customer trust, accuracy, and service quality.
- Optimize conversion outcomes for sales, service booking, lead qualification, and customer support use cases.
- Define product metrics covering resolution, conversion, customer experience, containment, latency, and cost per resolution.
- Monitor token usage, inference cost, platform expenditure, and other AI unit economics.
- Establish testing frameworks for prompts, models, journeys, integrations, and customer outcomes.
- Use controlled experiments and hypothesis‑driven development to validate product improvements.
- Prioritize the product backlog according to customer impact, commercial value, technical feasibility, and operational readiness.
- Coordinate end‑to‑end delivery with Customer Experience, Digital, Technology, Data, Operations, and external partners.
- Translate business requirements into clear technical workflows and deployable AI capabilities.
- Ensure conversational solutions integrate effectively with customer data, digital systems, and operational platforms.
- Build reusable conversation patterns, components, and service logic that can be scaled across automotive brands.
- Maintain consistency in tone, service standards, escalation behavior, and information delivery across channels.
- Introduce lightweight governance for quality, privacy, security, responsible AI, and production change control.
- Create operating routines that support rapid iteration without slowing product delivery.
- Track production performance and respond quickly to model errors, journey breakdowns, and changing customer behavior.
- Present product outcomes, commercial impact, operational findings, and roadmap priorities to senior stakeholders.
- Keep current with emerging developments in generative AI, voice technology, agent systems, and AI‑enabled customer service.
Ideal Profile
- University degree in Product Management, Computer Science, Engineering, Data and Analytics, Business, Digital, or a related field.
- 8-10 years of relevant experience in product ownership, AI product development, conversational AI, or voice AI.
- Demonstrable portfolio of conversational or voice AI solutions personally built, launched, and improved.
- Proven ability to work hands‑on from concept development through prototyping, production release, and optimization.
- Strong practical knowledge of large language models, APIs, AI development tools, and agent architectures.
- Experience designing end‑to‑end conversational journeys and automated customer service experiences.
- Understanding of escalation design, human handover, multi‑agent coordination, and service recovery.
- Strong product judgment with the ability to prioritize measurable customer and business outcomes.
- Experience improving customer experience, conversion, operational efficiency, and product unit economics.
- Ability to interpret customer interaction data and convert findings into product changes.
- Confident collaboration with technical, commercial, operational, data, and customer experience stakeholders.
- Comfortable operating in a fast‑moving transformation environment with incomplete information and evolving requirements.
- Strong bias for building, testing, learning, and delivering usable products.
- Automotive, mobility, customer operations, or contact centre experience is advantageous.
- Experience within an AI platform company or internal AI product team is preferred.
- Familiarity with Jobs‑to‑be‑Done and conversion optimization methods is beneficial.
Skills Set
- Conversational AI
- Voice AI
- Generative AI
- Large language models
- LLM application development
- API integration
- Agent‑based architecture
- Multi‑agent orchestration
- Prompt engineering
- Customer journey design
- Conversation flow design
- Voice call flow design
- Human handover logic
- Escalation strategy
- AI product ownership
- Rapid prototyping
- Product experimentation
- Hypothesis‑driven development
- Jobs‑to‑be‑Done
- Conversion optimization
- Customer experience analytics
- Resolution rate optimization
- Cost‑per‑resolution analysis
- Token cost monitoring
- Inference cost management
- Product metrics
- Live interaction analysis
- Cursor
- Windsurf
- Claude Code
- AI service governance
- Cross‑functional delivery
- Automotive customer experience
- Omnichannel service design
Why Join Us
This role offers the opportunity to build production AI experiences that influence how customers interact with major automotive brands across the region. The Product Owner will work beyond conceptual strategy and take direct responsibility for solutions used in real customer conversations. The position provides exposure to enterprise‑scale AI transformation, multi‑brand automotive operations, voice and digital service channels, customer data, and advanced product experimentation. It also creates a strong pathway toward senior AI product leadership, digital customer experience management, intelligent automation, and enterprise AI platform roles.
About the Company
Al‑Futtaim Automotive is a major division of Al‑Futtaim Group with operations across vehicle distribution, manufacturing, leasing, aftersales, and mobility services. The business represents internationally recognized automotive brands and serves customers across the Middle East, Asia, and Africa. Through its Customer Experience and Digital Ecosystem team, Al‑Futtaim Automotive is developing intelligent, connected, and consistent customer journeys across its brands. The 800‑AF programme supports this direction by applying conversational and voice AI to real automotive sales, service, and customer support interactions.