Head of Engineering

Head of Engineering - Augmodo

Augmodo uses Spatial AI to bridge the gap between spatial computing and retail, redefining physical commerce for the AI era. As Head of Engineering, you will be responsible for building and scaling the technical foundation of Augmodo. You will lead a team of world-class engineers in developing real-time AI-driven spatial computing applications that seamlessly integrate with the physical world.

Roles & Responsibilities

• Lead and manage a multi-disciplinary engineering team spanning computer vision, backend, frontend, hardware, and firmware.
• Define and execute the engineering roadmap, balancing innovation with scalability.
• Architect and build real-time, AI-driven spatial computing applications.
• Collaborate closely with product, business, and operations teams to translate business requirements into technical solutions.
• Oversee the development and delivery of new features and products, ensuring they meet quality standards and customer expectations.
• Ensure the scalability, security, and reliability of Augmodo’s platform.
• Stay at the forefront of spatial AI, computer vision, and real-time data processing.
• Own technical decision-making, from infrastructure to ML model deployment.
• Cultivate a culture of innovation, rapid iteration, and continuous improvement.

Experience & Qualifications

• Master's in Computer Science, Robotics, or a related field.
• 15+ years of engineering experience, with 5+ years of senior management experience overseeing multiple engineering functions.
• Expertise in computer vision, AI/ML, sensor fusion, or robotics.
• Experience in full-stack development and scalable cloud architectures.
• Passion for retail tech, AI, and transforming physical work.
• Strong problem-solving skills and the ability to thrive in ambiguity.
• A builder mentality—hands-on when needed, but able to scale teams and delegate effectively.
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams.

Preferred Skills

• Ph.D. in Computer Science, Robotics, Computer Vision, or a related field.
• Experience with AR/MR technologies.
• Experience in retail tech.