Job Responsibilities and Duties:
- Token Listing Process and Campaign Operations:
- Develop and implement a comprehensive token listing process, and coordinate with marketing promotions for new token listing by incorporating industry best practices and staying abreast of trends.
- Align operational activities with the company’s strategic goals and translate them into actionable plans. Ensure compliance with established standards and protocols.
- Listing campaign configuration and promotion, such as Launchpad/Launchpool, etc.
- Cross-Functional Collaboration:
- Coordinate with internal stakeholders, including legal, compliance, risk, product, and technical teams, to ensure efficient and compliant token listing process.
- Manage multiple projects simultaneously, ensuring efficient resource allocation and timely delivery.
- Relationship Management:
- Engage in effective communication with token project teams, fostering strong relationships to facilitate the listing process.
- Collaborate with token project teams to ensure compliance with listing requirements and resolve any outstanding issues or concerns.
- Maintain ongoing relationships with listed token projects, providing support and addressing their operational needs.
- Process and Product Optimization:
- Continuously review and optimize the token listing process to enhance efficiency, transparency, and scalability.
- Ensure compliance with relevant regulatory requirements, internal policies, and industry best practices.
- Collaborate with legal and compliance teams to address regulatory challenges and implement necessary compliance measures.
Job Requirements:
- Bachelor’s degree preferably in fields such as finance, marketing, media, or language-related disciplines.
- Minimum of 3 years of experience in asset operations within the crypto industry.
- Strong understanding of the crypto industry and market trends.
- Knowledge of regulatory frameworks and compliance requirements related to digital assets.
- Data-driven, familiar with user growth-related metrics, and strong data analysis skills.
- Attention to detail and a commitment to delivering high-quality work.
- Excellent communication skills in both English and Chinese.
