More jobs:
Product Manager II, Conversational AI; IVR & Chat
Job in
Englewood, Arapahoe County, Colorado, 80151, USA
Listed on 2026-01-02
Listing for:
EchoStar Corporation
Full Time
position Listed on 2026-01-02
Job specializations:
-
IT/Tech
AI Engineer, Data Analyst
Job Description & How to Apply Below
Company Summary
Echo Star is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products.
Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV.
Department SummaryOur Customer Experience Operations (CXO) teams go above and beyond by simplifying lives and enhancing community access to our products and services. Behind the scenes, dedicated individuals focus on refining the experience for millions of customers across all of our brands and providing support to our field agents.
Key ResponsibilitiesJob Duties and Responsibilities
- Conversational AI Product Strategy &
Roadmap:
Define and own the product vision, strategy, and roadmap for our IVR and Chat conversational AI platforms. Identify opportunities, customer needs, and business value to prioritize features and initiatives - AI Chat & IVR Agent Design & Configuration:
Lead the design, configuration, and ongoing management of generative AI agents for both chat and IVR channels. This includes expertise in intent recognition, entity extraction, dialogue flows, prompt engineering, and natural language generation for dynamic and context‑aware responses - Training Data & Model Management:
Collaborate closely with IT, vendors and engineering teams to identify, gather, curate, and manage high‑quality training data for AI models across IVR and Chat. Oversee model performance and iterative improvements - Business Logic & Policy Definition:
Partner with diverse stakeholders (e.g., operations, legal, compliance, marketing) to translate business requirements into precise rules, policies, and guidelines that govern the AI agents responses and actions across voice and text channels - Performance Monitoring & Optimization (QA):
Develop and implement robust quality management processes for conversational AI agents. Define and track key performance indicators related to accuracy, containment, customer satisfaction, and efficiency. Analyze user feedback and data to identify areas for continuous improvement and drive data‑driven optimizations - Cross‑functional Leadership &
Collaboration:
Act as the primary subject matter expert and central point of contact for all conversational AI initiatives (IVR and Chat). Foster strong relationships and alignment with engineering, UX/UI, operations, analytics, and business teams to ensure successful product development, launch, and adoption - Feature Approval & Launch Management:
Facilitate the review, approval, and successful deployment of new conversational AI functionalities and content, ensuring compliance with internal standards and external regulations across both IVR and chat interfaces - Documentation & Knowledge Management:
Maintain comprehensive product documentation, including feature specifications, dialogue flows, business rules, training data principles, and operational procedures for all conversational AI solutions
Education and Experience:
- Bachelor's degree in Computer Science, Linguistics, Business, Marketing, or a related technical field, OR two years of relevant experience in conversational AI product management
- Experience with IVR design and optimization, including speech recognition and text‑to‑speech technologies
- Experience with A/B testing and experimentation methodologies for AI systems
- Prior experience in quality assurance or testing methodologies specifically for AI and conversational systems
- Deep understanding and hands‑on experience with generative AI principles, natural language processing (NLP), natural language understanding (NLU), and conversational AI platforms
- Demonstrated experience in configuring, training, and optimizing AI chatbots or virtual assistants, with a strong emphasis on prompt engineering
- Experience in managing project timelines and delivering solutions in an agile environment
- Understanding of customer journey mapping and user experience (UX) principles for conversational interfaces
- Excellent cross‑functional collaboration and communication skills, with the ability to articulate complex…
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