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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

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.
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