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Principal Technical Program Manager - Computer Vision

Motorola Solutions

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At a glance

Compensation
No compensation found
Location
Cleveland, OH
Work Authorization
Not specified

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Job overview

Reporting to the VP of AI, the Principal Technical Program Manager will define and drive the strategy, roadmap, and measurable success of Motorola Solutions’ Computer Vision Platform. The role partners with internal product leaders to establish platform requirements and adoption of central AI models and infrastructure across the product portfolio. It also manages enterprise-scale cloud and edge AI programs and owns select end-to-end computer vision products.

Skills & qualifications

RequiredNice to have

Skills

Computer VisionTechnical Program ManagementProduct StrategyProduct RoadmappingProduct RequirementsAI Model Lifecycle ManagementCloud AI PlatformsEdge AI PlatformsPlatform Metrics

Full job description

Company Overview At Motorola Solutions, we believe that everything starts with our people. We're a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that's critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future. Department Overview Motorola Solutions' innovations, products, and services play essential roles in people's lives. Our end-to-end suite of software solutions helps customers manage emergency communications, process video and evidence, and leverage cutting-edge AI-driven analytics for security and operational insights. We are industry leaders in video security and analytics, with solutions deployed in more than 120 countries across diverse environments such as school campuses, transportation systems, healthcare centers, public venues, critical infrastructure, prisons, factories, casinos, airports, financial institutions, government facilities, and retailers. Our AI-powered security solutions integrate advanced video analytics, machine learning, and embedded intelligence to enable proactive threat detection, enhanced situational awareness, and automated decision-making. Job Description Reporting to the VP of AI for Motorola Solutions, the Principal Technical Program Manager - Computer Vision will be a critical, high-impact leader who thrives on turning highly ambiguous concepts into enterprise-scale Computer Vision solutions. They will be responsible for defining and driving the strategy, roadmap, and measurable success of our core Computer Vision Platform. This role is pivotal in partnering with internal product leaders to define the platform's requirements and drive the adoption of central AI models and foundational AI infrastructure across Motorola's product portfolio. This includes technical program management for our enterprise-scale cloud and edge AI platforms, ensuring our AI investments translate into quantifiable, improved customer and business outcomes. This role also includes product ownership for select end-to-end computer vision-based products. Key ResponsibilitiesThe Principal Technical Program Manager will own the strategy, definition, and roadmap across the following core areas, with an emphasis on the Computer Vision Platform: Platform Product Strategy & Roadmap: Define the vision, strategy and roadmap for the Computer Vision Platform, ensuring alignment with Motorola Solutions' overall product portfolio and strategic business goals. Internal Partner Management & Alignment: Serve as the primary product leader for the platform, engaging with internal product leaders and teams across Motorola to understand their computer vision needs, define platform requirements (APIs, capabilities, scalability), and drive adoption of platform services. Product Definition & Requirements: Author high-quality Market Requirements Documents (MRDs), Product Requirements Documents (PRDs), and user stories for core platform capabilities (e.g., model serving, data pipelines, edge-to-cloud synchronization) and for select end-to-end computer vision products. AI Model Lifecycle Ownership: Own the product lifecycle for central, reusable computer vision models and foundational AI infrastructure, from ideation and research collaboration through deployment, adoption, and deprecation. Platform Success Metrics: Define, implement, and track key business, customer, and technical metrics (e.g., platform adoption, performance, latency, cost-efficiency, and quantifiable customer outcomes) to measure the success and health of the platform and drive continuous improvement. Market &

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