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The Product Compliance Manager at OKX will be responsible for ensuring new product development adheres to legal and compliance requirements. This role will involve collaborating with various teams to maintain a strong control environment and mitigate product risks. The manager will also be involved in expanding global product launches and staying informed on regulatory changes and industry developments.

As a Senior IT Support Engineer at OKX, you will collaborate with vendors, ensure software and hardware functionality, provide technical support, and manage inventory. Excellent communication, project management, and technical knowledge required. Proficiency in Cantonese and Mandarin is a must with knowledge of MacOS. Additional OS knowledge, tech enthusiasm, and network skills are desired.

Responsible for developing and improving front-end quality inspection systems and tools to enhance the efficiency of the digital asset trading platform. Conduct research on new technologies and lead the iteration of basic front-end tools and design systems.

Leading the development and management of a Decision Intelligence Platform, collaborating with cross-functional teams, defining product roadmap, gathering feedback, and optimizing product effectiveness through data-informed decisions.

Lead the development and management of a Machine Learning Decision Platform, collaborate with cross-functional teams, define product roadmaps, track key metrics, and optimize product effectiveness. Requires strong technical background in machine learning and data-driven decision-making, business acumen, problem-solving skills, and leadership abilities.

Design and build resilient data pipelines, architect data infrastructure on cloud, collaborate with cross-functional teams, ensure data integrity and scalability, drive resolution on data issues, improve products and services based on data insights.

Responsible for managing the OKBrain Infra and ML team at OKX, aligning with product and org objectives, defining long term technical roadmap, designing data pipelines and ML models, developing ML models to measure payment risks, and building infrastructure for ML development.