Senior AI Program Manager – Enterprise-scale AI Platforms

Motorola Solutions; St. Louis (MO); On-site; USD 150,000 - 230,000; Full time

Job summary

Motorola Solutions is seeking a Principal Technical Program Manager to lead enterprise-scale AI initiatives. This role focuses on turning ambiguous AI concepts into tangible products, driving strategy, and measuring success of AI investments across cloud and edge platforms.

Reporting to the VP of AI, you will oversee lifecycle management of central AI models and AI infrastructure consumed by product teams, ensuring measurable improvements in customer outcomes and development efficiency.

Responsibilities

• End-to-end AI Feature Delivery: Drive and coordinate efforts across the central AI organization and all dependent product teams to ensure the seamless, end-to-end delivery of AI features and products that demonstrably deliver value for our end customers.
• AI Impact Tracker & Baseline: Define and measure a systemic link between AI model performance and customer outcomes, baselining current impact and driving continuous improvement in AI effectiveness.
• AI for Developer Practices: Drive programs to integrate AI/ML into the internal software development lifecycle, tracking adoption and impact on engineering velocity and quality.
• Organizational Performance Management: Design and maintain an executive-facing dashboard tracking AI impact metrics, development efficiency, and organizational goals with accurate reporting.
• Cross-Functional Alignment & Impact Communication: Lead transparency and alignment with partner product teams, regularly presenting AI metrics and communicating strategic initiatives.

Job description

Motorola Solutions is seeking a Principal Technical Program Manager to lead enterprise-scale AI initiatives. This role focuses on turning ambiguous AI concepts into tangible products, driving strategy, and measuring success of AI investments across cloud and edge platforms.

Reporting to the VP of AI, you will oversee lifecycle management of central AI models and AI infrastructure consumed by product teams, ensuring measurable improvements in customer outcomes and development efficiency.