Venture Lead, Monetization (AI-Native)

About ShopBack Group

ShopBack Group is the foremost shopping, rewards, and payments platform across Asia-Pacific, serving over 20 million active users spanning 13 countries. Its international expansion reached North America in 2025, extending its mission to make each day more rewarding by helping users save time and money. Since its inception in 2014, ShopBack has supported more than US$5.5 billion in annual sales via 20,000+ online and physical retail partners and has delivered over US$900 million in cashback rewards. The platform also offers innovative payment solutions such as ShopBack Pay to enhance checkout experiences.

Role Overview

As Venture Lead for Monetization focused on AI-native solutions, you will be accountable for ownership of both the business vertical and product strategy, transforming ShopBack's proprietary data assets into a groundbreaking new venture. This hybrid role balances commercial deal-making with hands-on product building, reporting directly to the Chief Product Officer. Your responsibility is to manage the profit and loss aspects and lead the enterprise's growth independently.

Key Accountabilities

• Drive business development by sourcing, structuring, and finalizing data licensing or data-as-a-service agreements with diverse merchants and partners, ensuring optimal pricing and packaging strategies.
• Collaborate closely with engineering teams to conceptualize and deliver AI-driven data products, leveraging ShopBack’s behavioral and transactional first-party data to build multi-agent systems.
• Architect revenue models for AI-enhanced data products, including tiered API access and white-label agent deployment structures.
• Lead go-to-market initiatives by crafting compelling narratives and pitches emphasizing ShopBack’s unique data advantages to external stakeholders.
• Rapidly prototype and validate commercial hypotheses through real-world partner testing, iterating swiftly beyond internal trials.

Qualifications and Skills Required

• Substantial experience in data licensing, monetization, or operating within data marketplace environments, with a clear understanding of product structuring, valuation, and sales.
• Proven ability to define product requirements for data platforms or products built on proprietary data, with hands-on experience collaborating on or managing product builds without requiring intermediary product management.
• Strong commercial acumen focused on revenue generation, margin optimization, and structuring deals rather than traditional user engagement metrics.
• Solid understanding of artificial intelligence concepts including large language models (LLMs), retrieval-augmented generation (RAG) frameworks, and agent systems to inform sound product decision-making.
• An operator’s mindset comfortable with ambiguity, customer engagement, data discovery, and delivering outcomes effectively.
• A results-oriented approach emphasizing tangible impact on gross merchandise value uplift, revenue maximization, and customer retention versus mere roadmap progression.

Cultural Traits

• Proactive Ownership: Independently drive initiatives forward, overcoming obstacles without waiting for permission.
• Sound Judgement: Prioritize high-impact decisions aligned with greater organizational goals, balancing speed with thoughtful consideration.
• Rapid Learning: Quickly acquire new skills and adapt by discarding outdated methods, continually raising personal standards.
• Persistence: Maintain composure under pressure, engage in open debate, fully commit once decisions are made, and support teammates throughout challenges.

Benefits

• Opportunities for career advancement through taking on significant challenges aligned with your ambitions.
• Joining a high-performing team expanding globally.
• Performance-based competitive remuneration.
• A transparent, open culture that encourages feedback and collaboration.

Additional Information on Recruitment

The hiring process may incorporate AI tools to assist in reviewing applications and assessments; however, all final decisions are made by human recruiters. Candidate privacy and fair process are ensured in compliance with applicable data protection legislation. ShopBack is committed to equal opportunity employment, fostering diversity and inclusion without discrimination based on race, religion, gender, age, disability, or other protected characteristics.