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Senior AI Product Manager (Hybrid)
Full-time
Motorola Solutions builds and connects technologies to help keep people safer everywhere. The Design and Tools (D&T) organization focuses on improving agent efficiency and enhancing customer self-service within Centralized Managed Support Operations.
We are seeking a Senior AI Product Manager to lead and drive the AI & Automation value stream within D&T. You will own the end-to-end strategy, roadmap, and execution, collaborating with business operations to translate user requirements into proactive solutions and leading data scientists to build predictive and prescriptive machine learning models.
Key Responsibilities
Strategic Vision & Roadmap
Develop the overarching strategy, vision, and roadmap for all AI projects to achieve business objectives.
Seek and analyze user feedback to prioritize features based on impact and feasibility.
Track key product metrics and analyze user behavior to inform improvements and measure ROI.
Cross-Functional Collaboration
Collaborate with global stakeholders to resolve conflicts and drive successful project delivery.
Drive requirements, design, and architecture for AI projects in partnership with Salesforce and ServiceNow Product Managers.
Communicate the value of delivered solutions to leadership while managing product launches.
AI & Predictive Modeling
Identify and prioritize AI use cases in the customer care domain to elevate support efficiencies.
Perform feature planning, prioritization, and execution for advanced automation capabilities.
Develop AI project charters and statements of work to obtain stakeholder buy-in.
Job Requirements
Technical Expertise
Generative and conversational AI to design AI-powered features for customer-facing channels, including chatbots and virtual agents.
Natural Language Processing (NLP) to apply sentiment analysis and topic modeling for trend detection and root cause identification.
Cloud computing with leading public clouds such as AWS, Google Cloud, or Azure.
ServiceNow and Salesforce to enhance the support workflow ecosystem.
Professional Experience
Customer care operations supporting a high-volume technical support organization.
Data science leadership, guiding teams building predictive and prescriptive ML models.
Strong communication skills to present technical value to leadership.
Time management to prioritize and multitask across functional groups.
