Principal Technical Program Manager - Computer Vision

Motorola Solutions•Waltham, MA

3d•Remote

About The Position

Motorola Solutions is seeking a Principal Technical Program Manager - Computer Vision to lead the definition and execution of their core Computer Vision Platform. This role reports to the VP of AI and is crucial for transforming ambiguous concepts into enterprise-scale Computer Vision solutions. The position involves defining strategy, roadmap, and success metrics, partnering with internal product leaders to establish platform requirements, and driving the adoption of AI models and infrastructure across Motorola's product portfolio. This includes technical program management for cloud and edge AI platforms, ensuring AI investments yield tangible customer and business outcomes. The role also encompasses product ownership for select computer vision-based products.

Requirements

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

Nice To Haves

Experience in video analytics for security or for retail or manufacturing operations is a plus.

Responsibilities

Define the vision, strategy, and roadmap for the Computer Vision Platform, ensuring alignment with Motorola Solutions' overall product portfolio and strategic business goals.
Serve as the primary product leader for the platform, engaging with internal product leaders and teams to understand their computer vision needs, define platform requirements (APIs, capabilities, scalability), and drive adoption of platform services.
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.
Own the product lifecycle for central, reusable computer vision models and foundational AI infrastructure, from ideation and research collaboration through deployment, adoption, and deprecation.
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.
Conduct market research, competitive analysis, and customer/partner discovery along with the Product Management team to identify new opportunities, validate product concepts, and inform strategic build-versus-buy decisions.
Bring initial definition to 'highly ambiguous' product concepts and conduct early-stage discovery for emergent initiatives.