Justin Bleiweis
Product Manager building Conversational AI & Support Platforms | AI-Powered Self-Service, Automation & Analytics | Curious Builder
- Role
- Product Manager Ii - Ai Voice & Chatbot Systems at DISH TV
- Location
- Denver, CO, US
- LinkedIn followers
- 500 followers
About Justin Bleiweis
Product Manager building Conversational AI & Support PlatformsI’m a Product Manager who builds AI-powered support and self-service products used at scale. My work sits at the intersection of conversational AI, automation, and analytics—turning messy customer problems and operational pain points into clear, data-backed product decisions.In my current role, I’ve led end-to-end delivery of AI-driven Voice, Chat, and customer support platforms, shipping features that have driven $25M+ in annual business impact through cost reduction, revenue growth, and improved customer experience. I’m especially comfortable operating in ambiguous problem spaces—aligning product, engineering, operations, and analytics to move from “we think this is broken” to shipped, measurable outcomes.What I focus on: Building conversational AI Voice and Chat platforms, and self-service experiences that reduce friction and scale support Using data, experimentation, and customer insight to prioritize the right problems Translating complex systems and stakeholder needs into simple, shippable product features Laying the groundwork for AI-first platforms (from data foundations to automation)A few highlights: Launched Automated and AI-powered Voice and Chat features, driving 25M+ in annual business impact Led the transition from a rules-based decision tree system to a conversational AI experience Owned the data requirements for migrating Voice platforms to AWS, enabling future generative AI and automation use cases Increased actionable customer feedback 69% through survey redesign and experimentation Introduced a structured product discovery process that aligned Product, IT, Ops, and Support around real user pain pointsOutside of my core role, I enjoy building and experimenting on my own—prototyping lightweight products and automation workflows using tools like Claude Code, n8n, and low-code platforms. These projects help me stay close to emerging AI capabilities, sharpen my product instincts, and pressure-test ideas before they ever reach a roadmap.I’m excited by teams building AI-first products in fast-moving environments where product decisions directly shape customer experience and business outcomes. If you’re working on conversational AI, support platforms, or automation-heavy products and need a PM who blends strategy, data, and execution, I’d love to connect.
Experience
Product Manager Ii - Ai Voice & Chatbot Systems
Jan 2023 — Present · Englewood, CO, US
Product Manager responsible for DISH’s AI-driven customer self-service platforms, including Interactive Voice Response (IVR), chatbots, and automated support channels serving 55M+ callers annually. I lead product strategy, experimentation, and feature development to improve self-service adoption, reduce call center demand, and enhance customer experience across voice and digital channels.Partnering with engineering, data science, CX, and operations teams, I design intent-driven automation journeys, optimize conversational AI performance, and build the data and platform foundations enabling Generative AI, LLM, and omnichannel customer support capabilities. Owned strategy and roadmap for AI-powered IVR and conversational platforms supporting ~55M annual customer interactions, driving $18M in cost savings and $7.2M in incremental revenue Leading the transition from a rules-based decision tree system to a conversational AI experience, building out GenAgent tasks and logic routing Defined and evolved core platform capabilities (identification, authentication, flow routing, intent handling) to strengthen the foundation of an AI-driven automation system, enabling scalable improvements across millions of customer interactionsReduced agent transfers by 92.5% in retention flows (e.g, cancellations) through statistical call analysis and intent refinement, saving ~$1.8M annually Owned and optimized core automation metrics (containment, AHT, FCR) using data analysis and A/B experimentation to drive continuous performance improvements Defined product data requirements for AWS migration, enabling future integration of GenAI/LLM capabilities across voice, chat, SMS, web, and app channels
Education
USC Marshall School of Business
Master of Science - MS, Business Analytics
2021 — 2022
Universidad Pontificia Comillas
Business Administration and Management, General
2019 — 2019
University of Southern California
Master of Science - MS, Business Analytics
2021 — 2022
Tulane University - A.B. Freeman School of Business
Bachelor of Science in Management, Finance, Management
2016 — 2020
Tulane University
Bachelor of Science in Management, Finance, Management
2016 — 2020
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