Principal Technical Program Manager - Computer Vision

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.

Department Overview

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.

Job Description

Reporting to the VP of AI for Motorola Solutions, the Principal Technical Program Manager - Computer Vision will be a critical, high-impact leader who thrives on turning highly ambiguous concepts into enterprise-scale Computer Vision solutions. They will be responsible for defining and driving the strategy, roadmap, and measurable success of our core Computer Vision Platform. This role is pivotal in partnering with internal product leaders to define the platform's requirements and drive the adoption of central AI models and foundational AI infrastructure across Motorola's product portfolio. This includes technical program management for our enterprise-scale cloud and edge AI platforms, ensuring our AI investments translate into quantifiable, improved customer and business outcomes. This role also includes product ownership for select end-to-end computer vision-based products.

Key Responsibilities
The Principal Technical Program Manager will own the strategy, definition, and roadmap across the following core areas, with an emphasis on the Computer Vision Platform:

• Platform Product Strategy & Roadmap: Define the vision, strategy and roadmap for the Computer Vision Platform, ensuring alignment with Motorola Solutions' overall product portfolio and strategic business goals.
• Internal Partner Management & Alignment: Serve as the primary product leader for the platform, engaging with internal product leaders and teams across Motorola to understand their computer vision needs, define platform requirements (APIs, capabilities, scalability), and drive adoption of platform services.
• Product Definition & Requirements: Author high-quality Market Requirements Documents (MRDs), Product Requirements Documents (PRDs), and user stories for core platform capabilities (e.g., model serving, data pipelines, edge-to-cloud synchronization) and for select end-to-end computer vision products.
• AI Model Lifecycle Ownership: Own the product lifecycle for central, reusable computer vision models and foundational AI infrastructure, from ideation and research collaboration through deployment, adoption, and deprecation.
• Platform Success Metrics: Define, implement, and track key business, customer, and technical metrics (e.g., platform adoption, performance, latency, cost-efficiency, and quantifiable customer outcomes) to measure the success and health of the platform and drive continuous improvement.
• Market & Customer Insights: Conduct market research, competitive analysis, and customer/partner discovery along with Product Management team to identify new opportunities, validate product concepts, and inform strategic build-versus-buy decisions.

Qualifications & Experience

• 10+ years of technical program management experience, with a focus on platform products, AI/ML, or complex, cross-functional technical domains.
• 3+ years of hands-on experience as an individual contributor building machine learning models, production ML pipelines, computer vision algorithms, or software engineering for ML or data-oriented products.
• Technical Acumen: Deep understanding of computer vision and machine learning, machine learning lifecycle (MLOps), data platforms, and the challenges of building and deploying central, reusable AI infrastructure and models. Demonstrated ability to engage in technical discussions with engineering teams, understand architectural trade-offs, and define clear, measurable product requirements.
• Product Strategy & Metrics: Proven experience defining product vision, strategy, and roadmaps. Expertise in defining and implementing metrics frameworks (KPIs, OKRs) to measure product success (adoption, revenue, customer value) 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.
• Leadership: 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, including presenting roadmap elements and business cases.
• Customer-focused with a track record of building strong relationships and conducting early-stage discovery to understand internal and external customer needs.
• Domain Knowledge: Experience in video analytics for security or for retail or manufacturing operations is a plus.
• Pathfinding: Experience bringing initial definition to "highly ambiguous" product concepts and conducting early-stage discovery for emergent initiatives.

Target Base Salary Range: $180,000 USD - $220,000 USD

Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate.

Note: Candidates must reside in a US state within the Eastern (EST) or Central (CST) Time Zone.

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Basic Requirements

• 10+ years of technical program management experience, with a focus on platform products, AI/ML, or complex, cross-functional technical domains.
• AND 3+ years of hands-on experience as an individual contributor building machine learning models, production ML pipelines, computer vision algorithms, or software engineering for ML or data-oriented products.

Travel Requirements

10-25%

Relocation Provided

None

Position Type

Experienced

Referral Payment Plan

No

Our U.S. Benefits include:

• Incentive Bonus Plans

• Medical, Dental, Vision benefits

• 401K with Company Match

• 10 Paid Holidays

• Generous Paid Time Off Packages

• Employee Stock Purchase Plan

• Paid Parental & Family Leave

• and more!

EEO Statement

Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic. 

We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team.

We’re committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete this Reasonable Accommodations Form so we can assist you.