Location
In office (Shenzhen)
Seniority
Staff
Employment
Full-Time
Overview
Company
Impact
Profile match
ShopBack is a shopping rewards and cashback platform headquartered in Singapore and founded in 2014. The company provides a mobile app and browser extension that allow users to earn cashback on purchases from thousands of partner merchants across categories like fashion, electronics, and travel. It operates across ten markets in the Asia-Pacific region, serving millions of shoppers and partnering with major e-commerce platforms and physical retailers to drive sales through performance-based marketing.
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.
What You'll Own
- 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.
Essentials to Succeed
- 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.
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