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.

Aperçu de l’entreprise

Chez Motorola Solutions, nous pensons que tout commence par nos employés. Nous sommes une communauté mondiale soudée, unie par la volonté incessante de contribuer à la sécurité des personnes partout dans le monde. Nous concevons et connectons des technologies qui contribuent à protéger les personnes, les biens et les infrastructures. Nos solutions favorisent la collaboration essentielle pour améliorer la sécurité des populations, des écoles, des hôpitaux, des entreprises et, finalement, des nations. Connectez-vous à une carrière qui compte et aidez-nous à bâtir un avenir plus sûr.

Department Overview

Within the Video Security & Access Control (VS&AC) business unit at Motorola Solutions, we are helping solve some of the biggest challenges around safety and physical security by developing advanced artificial intelligence (AI) technologies and products. Avigilon, a Motorola Solutions brand, designs, develops, and manufactures advanced AI, video analytics, network video management software and hardware, and surveillance cameras that help change the way people interact with their security systems.

Job Description

Reporting to the Group Product Manager, AI & Analytics, you will own the vision, strategy, and execution for key AI and analytics initiatives across the Avigilon platform. You'll be part of an empowered product team operating with a start-up mindset inside a large enterprise.

Artificial Intelligence is transforming the physical security landscape, and this role is at the center of that evolution. You will bring a proven track record of having shipped AI/ML products at scale, taking complex models out of research and deploying them into production environments serving high-volume, real-world workloads. In this role, you will turn next-generation AI, from computer vision and object detection to Vision-Language Models (VLMs), generative workflows, and agentic AI, into intuitive, high-value user workflows that make our entire end-to-end product ecosystem shine.

Beyond your own initiative areas, you will help shape how the broader video product team integrates intelligence to solve complex security problems for our customers. You will maintain clear ownership over product vision, discovery, user experience, and technical model trade-offs while collaborating cross-functionally to ensure seamless delivery.

Responsibilities Include:

Own Strategic AI Product Area(s): Take full ownership of assigned AI and analytics capabilities within the Avigilon platform. Define the vision for your area, set outcomes, run discovery, and drive the multi-quarter roadmap for high-scale AI capabilities in close partnership with AI research and engineering teams.
Bridge AI Research & Technical Scale: Engage deeply with AI Platform Engineering and AI Research teams to evaluate technical trade-offs around model accuracy, inference latency, compute-to-serve costs, infrastructure scaling, and edge vs. cloud deployment. Translate cutting-edge AI capabilities into well-framed problem statements and intuitive operator experiences.
Lead Continuous Discovery: Run a rigorous market discovery practice. Conduct customer interviews, observe security workflows in the field, analyze usage data, and synthesize findings to ensure AI capabilities solve real operational pain points rather than serving as "technology-first" novelties.
Drive Cross-Functional Platform Alignment: Partner with Video Management Software (VMS), Access Control, Appliances, and Devices Product Management teams to ensure AI features feel like unified platform experiences across the entire ecosystem.
Define and Own Scale Metrics: Build the measurement framework for your assigned AI capabilities. Instrument your product to track adoption, field accuracy, inference reliability at scale, engagement, and business impact. Use data to validate hypotheses, refine models, and make the case for future investment.
Influence Across the Organization & Field Engagement: Work with Sales, Support,

Senior Product Manager, AI & Analytics at Motorola Solutions