Technical Product Manager

Company Introduction

At KNQ, we pioneer the future of sports through cutting-edge technology and innovation. Specializing in sports broadcasting and training solutions, we harness AI to transform how athletes perform and fans engage. Our advanced broadcasting tools create immersive viewing experiences, while AI-driven training platforms optimize athlete development with data-driven insights. We’re a global team united by a passion for sports and technology, dedicated to making sports more entertaining and training smarter. Whether you’re a tech enthusiast, sports aficionado, or creative mind, we invite you to join our mission to redefine the boundaries of the industry. Together, let’s merge AI and sports to inspire the next generation of athletes and audiences worldwide.

Job Function

Technology Research and Development

Job Description

As a Technical Product Manager, you’ll bridge the gap between product vision and technical execution. You’ll transform high-level product requirements (PRDs) into actionable technical specifications, working closely with engineers, data scientists, and product teams to deliver cutting-edge AI solutions for sports broadcasting and training.

Work Mode

Mix-mode (remain consistent within a calendar month)

Work Location

Science Park (Pak Shek Kok)

Preferred Academic Disciplines

Business & Management, Engineering, Media and Communication, Sciences, Social Sciences, Technology

Preferred Skills and Knowledge

Ideal candidates will possess a strong understanding of sports dynamics, including rules, training methodologies, and fan engagement trends, to ensure our products align with the needs of athletes, coaches, and audiences. Experience with AI/ML frameworks like TensorFlow or PyTorch is valuable, particularly in deploying models for applications such as motion analysis or real-time data processing. Familiarity with video streaming protocols (e.g., HLS, RTMP) or integrating sensor/IoT devices (e.g., wearables, biomechanical tools) for performance tracking is a plus. Knowledge of cloud platforms (AWS, GCP) and MLOps pipelines to scale AI solutions is preferred, as is prior exposure to sports tech, broadcasting, or analytics. Strong communication skills are essential to translate sports industry challenges into clear technical requirements for cross-functional teams.