AI Product Owner

About the role

Experienced Product Owner with a strong background in conversational AI, generative AI, and enterprise voice-agent solutions to lead the strategy, roadmap, and execution of AI-driven customer experiences. This role is responsible for defining enterprise prompt strategy, AI personas, and multi-agent orchestration while partnering with cross-functional teams to deliver scalable, secure, and measurable AI capabilities. The Product Owner will drive business alignment, product prioritization, performance optimization, and continuous improvement through data-driven decision making. This position plays a critical leadership role in advancing enterprise AI initiatives while ensuring operational excellence and exceptional customer experiences.

Location: Carrollton, Texas. Work Type: Onsite.

Responsibilities

• Own the overall product vision and roadmap for enterprise conversational AI and voice-agent initiatives.
• Define and govern the enterprise AI persona, brand voice, system instruction, and prompt development strategy.
• Lead product orchestration across sales, servicing, fulfillment, and operational teams supporting parallel AI-agent development.
• Architect multi-agent conversational models that route user intent to specialized AI agents.
• Define agent responsibilities, context parameters, tool access, decision logic, and escalation paths.
• Develop, test, refine, and optimize system prompts, prompt templates, system instructions, and few-shot examples.
• Balance conversational quality, contextual accuracy, token efficiency, latency, and operational performance across AWS-based AI solutions.
• Establish product frameworks and dashboards to measure prompt effectiveness, AI performance, and customer outcomes.
• Track AI-specific metrics including hallucination rates, contextual accuracy, containment rates, task completion, latency, escalation frequency, and user abandonment.
• Utilize customer feedback and operational metrics to continuously improve AI performance.
• Lead prioritization of business requirements across multiple stakeholder groups.
• Identify dependencies, resolve competing priorities, and eliminate business and technical bottlenecks.
• Define and maintain representative AI evaluation datasets and testing scenarios.
• Partner with engineering teams to integrate automated evaluation pipelines and quality frameworks.
• Lead A/B testing initiatives for prompts, conversational flows, personas, and response strategies.
• Define product success metrics aligned with business KPIs.
• Track Customer Satisfaction, Average Handle Time, containment, conversion, and resolution metrics.
• Collaborate with engineering teams on APIs, infrastructure integration, latency optimization, and AI safety guardrails.
• Mentor Product Analysts responsible for prompt development, testing, business requirements, and knowledge management.