Deputy Head of Technical (AI & Growth Platform)

We are looking for a Deputy Head of Technical (Growth Engineering & AI Platform) to architect and lead our clients next-generation AI-native growth platform. This is a 0-to-1 leadership role that sits at the intersection of AI Agent Development, Growth Engineering, and Data Platform. You will own the end-to-end technical strategy for global user acquisition, data intelligence, and AI transformation - directly supporting C-level decision making and enabling automated, intelligent growth operations. Key Responsibilities 1. AI & Agent Development Architect and develop scenario-based AI Agents for business use cases such as data enquiry, marketing performance analysis, management intelligence, and creative operations. Design reusable Agent framework including orchestration workflow, tool/function calling, MCP-based integration, prompt management, context engineering, and Agent evaluation pipelines. Build enterprise AI applications leveraging LLM & Multimodal capabilities (e.g., RAG-based analytics, executive insights, automated creative production). 2. Paid Acquisition & Growth Engineering Own the end-to-end global growth platform (Golang + Big Data) supporting multi-region campaign management, attribution, user growth analytics, and scalable acquisition operations. Lead AdTech initiatives: Attribution, Marketing API integration, Advertising Delivery, RTB, and growth optimization. Build ML models for User Segmentation, LTV / ROI Prediction, and Creative Performance Evaluation to drive budget allocation and targeting strategy. 3. Data Platform & Data Governance (Batch + Streaming) Build and own the company-level data platform with Lakehouse architecture, real-time and batch ETL pipelines, unified data services, and analytics infrastructure. Establish best practices for data warehouse architecture, data modeling, metrics architecture, and data asset management. Ensure data quality, governance, and availability to support BI and AI applications. 4. Advertising & Recommendation Systems Develop and optimize advertising delivery and recommendation systems including RTB, growth optimization loops, and creative tagging/classification using multimodal LLM. 5. Technical Leadership Build the technical team from scratch - hiring, mentoring, and establishing SOPs, engineering standards, and delivery processes. Drive cross-functional coordination across Product, Marketing, UA, Data, and Operations (China + Overseas markets). Own cloud infrastructure and DevOps strategy on GCP. 6. Business-Oriented Partnership Directly partner with CEO, COO, and HODs to translate business goals into technical solutions with data-driven decision making. Requirements 12+ years in Data Platform, Growth Engineering, or AdTech, with at least 3+ years in a Tech Lead / Head of Engineering role building teams from 0-to-1. Proven experience architecting large-scale growth platforms and data platforms (batch + streaming). Hands-on expertise in LLM Agent development: RAG, Vector DB, Function Calling, Agent Orchestration. Strong ML background: XGBoost, clustering, behavioral modeling, deep learning for LTV/ROI prediction, multimodal understanding. Strong engineering background: Golang, Java (Spring Boot), Python, Spark, Flink, Kafka, BigQuery / MaxCompute / Paimon. Experience with Google Cloud Platform: Vertex AI, Gemini, Agent Development Kit (ADK), GKE, BigQuery. Tech Stack You'll Lead LLM & AI: Google Gemini, Vertex AI, Prompt Engineering, Embeddings, Function Calling Agent: ADK, LangChain, LangGraph, MCP, Tool Calling, Context Management RAG: Vertex AI Vector Search, Semantic Search ML: PyTorch, XGBoost, LightGBM, Scikit-learn Data & Infra: Golang, Java, Python, Spark, Flink, Kafka, BigQuery, Lakehouse, GCP, Kubernetes, Docker, CI/CD