Principal Product Manager - Computer Vision

Motorola Solutions is a global community dedicated to enhancing safety through technology. The Principal Product Manager - Computer Vision will lead the strategy and roadmap for the Computer Vision Platform, collaborating with internal teams to define requirements and drive adoption of AI models across the product portfolio.

Responsibilities:

• Define the vision, strategy and roadmap for the Computer Vision Platform, ensuring alignment with Motorola Solutions' overall product portfolio and strategic business goals
• 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
• 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
• Own the product lifecycle for central, reusable computer vision models and foundational AI infrastructure, from ideation and research collaboration through deployment, adoption, and deprecation
• 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
• Conduct market research, competitive analysis, and customer/partner discovery to identify new opportunities, validate product concepts, and inform strategic build-versus-buy decisions

Requirements:

• 10+ years of product management experience, with a focus on platform products, AI/ML, or complex, cross-functional technical domains
• 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
• 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
• Strong analytical skills, with experience working with AI performance metrics (e.g., Precision/Recall), real-time video processing, and inference optimization
• 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
• Customer-focused with a track record of building strong relationships and conducting early-stage discovery to understand internal and external customer needs
• Experience in public safety, security-focused software (e.g., video security, evidence management), mission-critical systems, or emergency communications
• Experience bringing initial definition to 'highly ambiguous' product concepts and conducting early-stage discovery for emergent initiatives