Shopback 21mo ago

Product Lead, AI-Native (Special Projects)

SingaporeFull-timelead

Product ManagementData ScienceOtherProduct LeadProduct Ai Native

0 views0 saves0 applied

Apply Now

Quick Summary

Overview

Our Journey The ShopBack Group is Asia-Pacific’s leading shopping, rewards, and payments platform, serving over 60 million shoppers across 13 markets. In 2025,

Technical Tools

Product ManagementData ScienceOtherProduct LeadProduct Ai Native

Our Journey

The ShopBack Group is Asia-Pacific’s leading shopping, rewards, and payments platform, serving over 60 million shoppers 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, ShopBack 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, ShopBack 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$800 million (over S$1 billion) in Cashback to date. Through its innovative offerings, ShopBack continues to create value for both members and merchants. Notably, its payment solution, ShopBack Pay, offers members a convenient and rewarding payment option at checkout.

Your Role

ShopBack is building a lean, high-velocity AI-Native Special Projects team to build the future of AI agents for millions of users. As the Lead, you will lead a lean team of product generalists to build agents powered by AI. You will report to the CPO.

You are the bridge between ShopBack’s large first-party data moat and traffic, and the end-user experience. You will be 80% builder and 20% strategist. You will not manage via spreadsheets; you will lead by setting the architectural vision while also leading by executing and shipping hands-on.

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.