ABOUT LVT

LVT is on a mission to make the world safer and more secure through rapidly deployable security hardware that runs on our proprietary SaaS platform. Our enterprise-grade safety and security ecosystem makes it easy to secure essentially any physical environment through intelligent automation and actionable insights. As an industry leader in the IoT space, our systems are deployed in every state and adopted by Fortune 500 enterprise companies who share this vision.

QUALIFICATIONS

• A Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field. An advanced degree (Master’s, PhD) is a plus but not required.
• 7+ years of product management experience, with at least 5+ years in AI/ML-driven products.
• Prior experience on fine tuning, optimizing and productizing computer vision models such as Yolo, ResNet, CNN etc.
• Strong understanding of AI/ML model development, training data, inference optimization, and cloud AI services (e.g., AWS SageMaker, Azure ML, Google Vertex AI).
• Deep knowledge of IoT architectures, including edge computing constraints (latency, compute, power efficiency) and cloud AI scaling.
• Strong analytical skills with experience in MLOps, A/B testing, and AI model performance evaluation.
• Excellent communication skills, with the ability to translate complex AI concepts into business value for non-technical stakeholders.

ABOUT THIS ROLE

As a Staff Product Manager specializing in Camera Analytics & Computer Vision, you will take ownership of the strategy, execution, and lifecycle management of products in the camera and computer vision space. You will collaborate with cross-functional teams to define the vision, drive product requirements, and ensure seamless integration of advanced analytics and AI capabilities into our offerings. You will play a critical role in shaping the future of how we analyze and interpret multi-modal data, derive insights and continuously measure model performance.

RESPONSIBILITIES

• Define and own the product vision, strategy, and roadmap for camera analytics and other computer vision products
• Prioritize AI features based on customer impact, business value, and technical feasibility.
• Define and optimize key AI model performance metrics such as precision-recall, latency, power efficiency etc.
• Stay ahead of emerging AI/ML trends, edge computing advancements, and cloud AI services to drive innovation.
• Work closely with engineering, data science, systems engineering, and cloud infrastructure teams to define and deliver AI-powered product capabilities.
• Align with regulatory and security teams to ensure AI-powered solutions comply with industry standards and best practices.
• Establish a tight feedback loop with customers and market intelligence to continuously improve camera analytics.
• Communicate product vision and roadmap to executive leadership, partners, and key stakeholders.