Product Lead, AI-Native (Special Projects)

6 мес. назад

ChinaWorldwideLeadOnsite

aiproduct_management

Lead a lean AI-Native special projects team to build AI-powered agents for millions of users, bridging first-party data with user experience.

О компании

Our Journey The Group is Asia-Pacific’s leading shopping, rewards, and payments platform, serving over 20 million active members across 13 markets. In 2025, the Group continued its global growth with its expansion into North America. Driven by the vision to make every day more rewarding, is dedicated to saving members money and time, and delivering delight every day. The platform also enables merchants and brands to engage with their members in a cost-effective manner. Founded in 2014, now powers over US$5.5 billion in annual sales for over 20,000 online and in-store partners, and has rewarded shoppers with more than US$900 million (over S$1 billion) in Cashback to date. Through its innovative offerings, continues to create value for both members and mer

Другое

Strong Execution: Architect and build the first versions of our AI agents. You are the "First Builder” on this team.
Rapid Iteration: Move from ideation to a working prototype in days. You value Velocity over Complexity.
AI Implementation: Design and implementation of custom multi-agent AI solutions, integrating both state-of-the-art LLMs (OpenAI, Anthropic, Gemini) or suitable open models using modern orchestration frameworks such as Langchain’s LangGraph to create dynamic and scalable AI agents.
Data Driven: Work with our data teams to turn the trove of proprietary first part data into fine-tuned context for our AI agents.
Leadership: Lead, grow and develop a lean team of AI-native full-stack generalists who share your bias for action and product-first mindset.
Product Discovery: Spend time with prospective customers, including merchants, to understand their pain points. You define the problem before you build the solution.
AI Native: You understand foundational model latent space and RAG-enhanced architectures, and how to handle non-deterministic outputs. You know when an LLM is the answer and when a simple heuristic is better.
Full-Stack Capability: You can navigate the entire stack—from highly scalable Python-based agentic backends to a polished Flutter interface for cross platform UI/UX.
Collaboration: collaborate with cross-functional teams to integrate modern AI stacks into existing infrastructure without getting bogged down in red tape.
Impact First: You don't care about "lines of code"; you care about "GMV uplift" and “Users’ time and cost saved."
High Ownership: You treat this team with extreme ownership. You find the data you need, you talk to users, and you ship.
User Obsessed: You make something people want. And you realise that for an AI agent, the interface is the personality. You care about how the AI "feels" to the user.