AI Strategy & Technical Leadership
Develop and implement the group’s AI technology vision; lead the evolution of AI infrastructure (computing power/models/algorithm platforms).
Drive the industrial application of cutting-edge technologies like large language models and generative AI in marketing scenarios.
Establish a group-level AI innovation mechanism. Use an MLOps system to create a closed loop from algorithm R&D to deployment and iteration, ensuring technological leadership translates into business growth.
Global Tech Team Building & Management
Build a Silicon Valley–standard AI R&D team from the ground up.
Create a cross-functional matrix of “Tech Scientists (AI/ML) + Engineering Experts (MLOps) + Product Architects.”
Prioritize recruiting top talent from major global tech companies (e.g., Google, Meta, Amazon).
AI Product Commercialization & Global Expansion
Lead the design of core modules for AI-powered marketing tools (e.g., generative ad creative engines, AI-driven livestreaming tools, cross-border user behavior prediction systems).
Use LLMs and multimodal technologies to overcome traditional marketing bottlenecks and drive GMV growth in overseas markets.
Personally lead the global deployment of complex AI systems (e.g., AIGC content compliance engines, multilingual LLM adaptation).
Ensure products meet data privacy standards in the EU and US (GDPR/CCPA), achieving leadership in technology, compliance, and user experience.
Executive Collaboration & Ecosystem Empowerment
Serve as the CEO’s technical advisor; deeply involved in negotiating AI solutions for global strategic clients (e.g., co-developing industry-specific models with partners like OpenAI or Mistral).
Lead the premium positioning of technical solutions.

Master’s degree or above in Computer Science/AI from a global Top 100 university; fluent in English for work.
5+ years of full-stack AI technical management experience (from algorithm development to engineering deployment to business outcomes).
Led AI product systems with over 10 million DAUs; background in automotive AI systems is a plus.
3+ years of technical management experience, with a proven track record of managing cross-time-zone teams of 50+ people.
Demonstrated success in scaling AI technologies in marketing or cross-border scenarios (must provide verifiable performance metrics).