AI Product Manger

Company Description EyeGo.ai is a global pioneer in Physical AI and edge-native spatial intelligence, helping smart cities, critical infrastructure, and enterprises operate smarter, safer, and more efficiently. By connecting physical environments with autonomous AI through the BRAIN Edge OS and Naseh Agentic AI Engine, EyeGo.ai converts real-time visual feeds and sensor data into actionable spatial intelligence. The platform enables organizations to automate operational compliance, optimize resource management, and leverage zero-latency compute for mission-critical decisions. Leaders in urban management, industrial operations, and security use EyeGo.ai to gain full visibility and control over physical assets, venues, and complex destinations. With capabilities from edge-native monitoring to predictive analytics, EyeGo.ai supports both immediate performance goals and long-term sustainability objectives.

Role Description The Artificial Intelligence Product Manager is a full-time, hybrid role based in Cairo, Egypt, with flexibility for partial work from home. This role is responsible for defining product vision and strategy for AI and edge-native spatial intelligence solutions, aligning product roadmaps with customer needs and business objectives. Day-to-day responsibilities include gathering and prioritizing requirements, collaborating with engineering, data science, design, and operations teams, and transforming complex technical capabilities into clear, user-centered product features. The Product Manager will lead discovery efforts with customers and internal stakeholders, conduct market and competitive analysis, and oversee the product lifecycle from concept through launch and iteration. The role also involves setting success metrics, tracking product performance, and ensuring that EyeGo.ai’s solutions deliver measurable value in smart city, industrial, and security environments.

Qualifications

Product management skills, including product strategy, roadmap development, and requirements gathering for AI or data-driven platforms.
Technical understanding of AI/ML concepts, edge computing, computer vision, and data analytics sufficient to collaborate effectively with engineering and data science teams.
Experience in user-centered design, stakeholder management, and cross-functional collaboration to deliver complex technology products.
Background in market research, competitive analysis, and go-to-market planning for enterprise or B2B technology solutions.
Strong analytical, problem-solving, and decision-making abilities, with experience defining KPIs and using data to drive product improvements.
Excellent written and verbal communication skills, including the ability to translate technical concepts into clear product narratives and documentation.
Bachelor’s degree in Engineering, Computer Science, Business, or a related field; an advanced degree or product management certification is a plus.
Experience in smart cities, industrial operations, security, or physical infrastructure domains is highly beneficial.
Ability to work effectively in a hybrid environment, manage multiple priorities, and collaborate with global teams and customers.