Venture Lead, Monetization (AI-Native)

Job description

### **Our Journey** The ShopBack 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, 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$900 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** As the Venture Lead, you will own both the business line and the product — defining how ShopBack's proprietary data becomes a category-defining new venture. You are equal parts deal-maker and builder — 50% commercial, 50% product. You won't manage a roadmap; you'll manage a P&L. ***This is an independent contributor role, reporting directly to the CPO with ownership of the new venture.*** ### What You'll Own - **Business Development:** Identify, structure, and close data licensing or data-as-a-service deals with merchants, partners, and platforms. You understand how data is priced, packaged, and sold. - **Product Build:** Define and ship the AI data product that the business needs — working alongside engineers to build multi-agent systems grounded in ShopBack's first-party behavioural and transaction data. - **Commercial Architecture:** Design monetisation models for AI-enhanced data products — from API access tiers to white-label agent deployments. - **Go-to-Market:** Shape the narrative and pitch ShopBack's data moat to external partners. You've done this before — in data syndication, data clean rooms, or programmatic data markets. - **Rapid Validation:** Move from commercial hypothesis to working prototype fast. You test with real partners, not just internal stakeholders. ### Essentials to Succeed - **Domain Depth:** You've worked in data licensing, data monetisation, or data marketplace businesses — and you understand how data products are structured, valued, and sold. - **Builder Instinct:** You've either built a data platform, scoped one with engineers, or owned a product that sits on top of proprietary data. You can spec what needs to be built without a PM interpreter. - **Commercial Drive:** You think in revenue, margin, and deal structure — not just DAUs and retention curves. - **AI Literacy:** You don't need to write the code, but you understand LLMs, RAG architectures, and agent frameworks well enough to make product decisions. - **Operator Mindset:** You're comfortable with ambiguity. You find the data you need, you talk to customers directly, and you ship. - **Impact First:** You measure success in GMV uplift, revenue unlocked, and advertiser retention — not roadmap velocity.