Responsibilities:Analyze marketing campaign performance, customer behavior, and market trends to identify opportunities and risks.Develop and maintain marketing dashboards and reports to track KPIs and ROI.Collaborate with marketing and sales teams t..
Responsibilities:
Analyze marketing campaign performance, customer behavior, and market trends to identify opportunities and risks.
Develop and maintain marketing dashboards and reports to track KPIs and ROI.
Collaborate with marketing and sales teams to define data requirements and support campaign planning.
Conduct competitor analysis and market research to inform marketing strategies.
Use data visualization tools to present insights clearly to stakeholders.
Identify trends and recommend improvements to optimize marketing spend and effectiveness.
Operations, strategies, and specific KOL traffic analysis, performance analysis (registration conversion), etc.
Qualifications:
Bachelor’s degree in Marketing, Business, Statistics, or related field.
Proven experience in marketing analysis, business intelligence, or related roles.
Proficiency in data analysis tools such as Excel, SQL, Tableau, Power BI, or similar.
Strong analytical skills with the ability to interpret complex data sets.
Bilingual English/Mandarin is required to coordinate with overseas partners and stakeholders. Additional languages would be a strong advantage.
Knowledge of digital marketing channels and metrics is a plus.
Experience with statistical software or programming languages (Python, R) is a bonus.
ResponsibilitiesIndependently own the product strategy and execution for products related to KYB and other compliance-related projects end to endCollaborate with global KYB vendors to build the state-of-the-art KYB and verification platform using cut..
Responsibilities
Independently own the product strategy and execution for products related to KYB and other compliance-related projects end to end
Collaborate with global KYB vendors to build the state-of-the-art KYB and verification platform using cutting-edge technology
Work closely with compliance and operational teams to enable superior KYB onboarding experiences for our corporate users
Work closely with Product Managers, engineers, and designers to ensure a high quality product is built
Prioritize feedback from users/internal stakeholders (e.g. compliance, legal, operation, data etc.), make difficult trade-offs, and drive the product roadmap
Define and analyze key product metrics to inform decision-making and measure success
AI/ML Integration: Collaborate with engineering and data science teams to design and deploy scalable AI models streamline KYB process
Requirements
At least 5+ years of relevant experience as a Product Manager
Understanding of AI/ML concepts
Experience in building products for international markets
Experience in product lifecycle management
Strong communication/presentation skills
Strong stakeholder management skills
User-focused and product-driven mindset
Ability to operate under tight deadlines while maintaining multiple projects
Bilingual English/Mandarin is required to be able to coordinate with overseas partners and stakeholders.
Familiarity with Blockchain technology or fin-tech sector is a plus
ResponsibilitiesDesign and manage search recommendation services and models to support the content team, empowering content ecosystem development.Utilize machine learning-based personalization methods, design patterns, and tools to enhance content ma..
Responsibilities
Design and manage search recommendation services and models to support the content team, empowering content ecosystem development.
Utilize machine learning-based personalization methods, design patterns, and tools to enhance content matching and distribution efficiency.
Deep understanding of recommendation systems within the content domain, leveraging business knowledge to drive AI product upgrades and improve content experience and business outcomes.
Lead the development of core content recommendation modules using data-driven strategies to maximize content value and user impact.
Collaborate with content, business, and product management teams to identify needs and opportunities within content scenarios, and jointly define success metrics.
Requirements
MSc or PhD in Machine Learning, Computer Vision, Computer Science, or Applied Mathematics, with at least 5 years of relevant industry experience (experience in the content domain is preferred).
Strong hands-on experience with popular machine learning frameworks such as PyTorch or TensorFlow.
Experience in large-scale application development, preferably in content-related user-facing applications.
Excellent cross-team collaboration skills with the ability to work effectively with global content teams.
Publication record at top-tier conferences or journals is a plus.
