Principal Technical Program Manager - AI

Motorola Solutions•Waltham, TN

1d•$160,000 - $220,000•Remote

About The Position

Motorola Solutions' innovations, products, and services play essential roles in people's lives. Our end-to-end suite of software solutions helps customers manage emergency communications, process video and evidence, and leverage cutting-edge AI-driven analytics for security and operational insights. We are industry leaders in video security and analytics, with solutions deployed in more than 120 countries across diverse environments such as school campuses, transportation systems, healthcare centers, public venues, critical infrastructure, prisons, factories, casinos, airports, financial institutions, government facilities, and retailers. Our AI-powered security solutions integrate advanced video analytics, machine learning, and embedded intelligence to enable proactive threat detection, enhanced situational awareness, and automated decision-making. Reporting to the VP of AI for Motorola Solutions, the Principal Technical Program Manager will be a critical, high-impact leader who thrives on turning highly ambiguous concepts into enterprise-scale AI products and solutions. They will be responsible for driving the strategy and measurable success of our core Artificial Intelligence efforts. This role is pivotal in managing the lifecycle and adoption of central AI models and foundational AI infrastructure built by our organization and consumed by downstream product teams for their features. This includes building enterprise-scale cloud and edge AI platforms, ensuring that our AI investments translate into quantifiable, improved customer outcomes.

Requirements

10+ years of technical program management experience, with significant time spent leading complex, cross-functional programs in AI/ML research and platforms.
Deep understanding of AI and Machine learning, Machine Learning lifecycle (MLOps), data platforms, and the challenges of building and deploying central, reusable AI infrastructure and models.
Proven experience defining and implementing metrics frameworks (KPIs, OKRs) to measure the success of core technology platforms 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.
Excellent oral and written communication skills, with the ability to present ideas, roadmap elements, and business cases to both technical and non-technical stakeholders.
Customer-focused with a track record of building strong relationships and understanding customer needs.
Experience bringing initial definition to "highly ambiguous" product concepts and conducting early-stage discovery for emergent initiatives.
10+ years of technical program management experience

Nice To Haves

A background in computer vision and/or voice technologies is a significant plus.
Experience in public safety, security-focused software (e.g., video security, evidence management), mission-critical systems, or emergency communications is a plus.

Responsibilities

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.
Work across various product teams to define and implement ways to establish and measure a systemic link AI model performance and customer outcomes. This includes baselining current customer impact and owning the program to drive measurable, continuous improvement in AI effectiveness.
Drive strategic programs to integrate AI/ML into our internal software development lifecycle, tracking adoption, evangelizing best practices, and reporting on the impact of these tools on engineering velocity and quality.
Design, implement, and maintain a high-value, executive-facing dashboard that tracks all key AI impact metrics, development efficiency metrics, and overall organizational goals. Managing the data fidelity and reporting accuracy is a core responsibility.
Own the organizational mechanism for driving transparency and alignment with partner product teams. This includes regularly presenting the status of core AI metrics, communicating strategic research initiatives to move those metrics, tracking progress, and quantifying the actual impact delivered to stakeholders and customers.
Provide immediate program management and definition for critical projects. This is a dynamic responsibility that may involve: Bringing initial definition to highly ambiguous product concepts. Conducting early-stage customer/partner discovery. Ensuring these initiatives are properly prioritized, staffed, and smoothly transitioned to a dedicated Product Manager (PdM) once scoped.