Principal Product Manager (Computer Vision)

Join Motorola Solutions as a Principal Product Manager for Computer Vision. In this high-impact role, you will define and drive the strategy, roadmap, and success of our core Computer Vision Platform. You will collaborate with internal product leaders, manage product definitions and requirements, own the AI model lifecycle, track platform success metrics, and conduct market and customer insights. This position offers flexible work models, paid time off, health care benefits, and more.

• Defining and driving the strategy, roadmap, and measurable success of the core Computer Vision Platform.
• Partnering with internal product leaders to define the platform's requirements and drive the adoption of central AI models and foundational AI infrastructure.
• Owning the product lifecycle for central, reusable computer vision models and foundational AI infrastructure, from ideation and research collaboration through deployment, adoption, and deprecation.

• Leadership: Demonstrated ability to operate at a Principal level, influence senior leaders across organizations, drive consensus, and communicate complex technical and strategic concepts clearly and concisely, including presenting roadmap elements and business cases
• Product Strategy & Metrics: Proven experience defining product vision, strategy, and roadmaps. Expertise in defining and implementing metrics frameworks (KPIs, OKRs) to measure product success (adoption, revenue, customer value) and drive organizational change and accountability
• Pathfinding: Experience bringing initial definition to "highly ambiguous" product concepts and conducting early-stage discovery for emergent initiatives
• Strong analytical skills, with experience working with AI performance metrics (e.g., Precision/Recall), real-time video processing, and inference optimization
• 10+ years of product management experience, with a focus on platform products, AI/ML, or complex, cross-functional technical domains
• Domain Knowledge: Experience in public safety, security-focused software (e.g., video security, evidence management), mission-critical systems, or emergency communications is a plus
• Technical Acumen: Deep understanding of computer vision and machine learning, machine learning lifecycle (MLOps), data platforms, and the challenges of building and deploying central, reusable AI infrastructure and models. Demonstrated ability to engage in technical discussions with engineering teams, understand architectural trade-offs, and define clear, measurable product requirements
• Customer-focused with a track record of building strong relationships and conducting early-stage discovery to understand internal and external customer needs
• If you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team