Senior Product Manager, AI & Analytics

Motorola Solutions•Waltham, MA

7d•Onsite

About The Position

Motorola Solutions is seeking a Senior Product Manager, AI & Analytics to join the Avigilon team within the Video Security & Access Control (VS&AC) business unit. This role is central to developing advanced AI technologies and products that enhance safety and physical security. You will own the vision, strategy, and execution for key AI and analytics initiatives, transforming cutting-edge AI like computer vision, object detection, Vision-Language Models (VLMs), generative workflows, and agentic AI into intuitive, high-value user workflows. The position requires a proven track record of shipping AI/ML products at scale and deploying complex models into production environments. You will collaborate cross-functionally to ensure seamless delivery and integrate intelligence across the product ecosystem to solve complex security problems for customers.

Requirements

Bachelors Degree
5+ years of product management experience
5+ years of Product Management experience delivering software, cloud, or enterprise solutions, with a demonstrated track record of shipping AI/ML-driven products or capabilities at production scale (e.g., serving thousands of active users, processing high-volume streaming data, or managing large-scale inference workloads).
Deep understanding of computer vision, deep learning, LLMs/VLMs, and analytics workflows, with the technical fluency to engage meaningfully with AI researchers on model deployment, optimization, latency trade-offs, and cost-to-serve at scale.
Exceptional critical thinker who is decisive, possesses both technical and business acumen, and has a proven track record of taking complex AI products from research/discovery through to commercial deployment.
Experience running customer discovery, conducting field interviews, and translating qualitative and quantitative insights into product strategy and clear requirements.
Ability to visualize how edge-to-cloud AI implementations interact at scale, balancing model execution on local hardware versus cloud/on-prem compute costs, bandwidth constraints, and system load.
Exceptional written, verbal, and relationship skills to present product strategy to senior leadership and align cross-functional engineering, hardware, and marketing teams without direct authority.
Legal authorization to work in the U.S. indefinitely is required. Employer work permit sponsorship is not available for this position

Nice To Haves

Large-Scale GenAI or Agentic AI Deployment: Experience launching or scaling products in production that leverage Vision-Language Models (VLMs), Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), or multi-step AI agents.
AI Prototyping: Ability to rapidly stand up AI-generated prototypes to explore possibilities, test hypotheses, and iterate on workflows before engineering build.
Security & Computer Vision Domain Knowledge: Prior experience deploying computer vision models or video analytics at scale within physical security, video management systems (VMS), or IoT/hardware environments.
Cloud + On-Prem Hybrid Architecture: Experience scaling products that bridge cloud and on-premise deployments, or managing edge-to-cloud model distribution strategies.

Responsibilities

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, Training, and Product Marketing to ensure successful launches, strong feedback loops, and customer enablement. Create technical value propositions, respond to field inquiries, and help align stakeholders around AI priorities.