Staff Product Manager, Monetization (AI-Native)

Your Role

As an AI-Native Staff Product Manager, you will define and ship ShopBack's data product strategy - packaging our proprietary data into high-value products that generate new revenue streams. You will operate as a senior independent contributor reporting directly to the CPO, working across Data, Ads, and Merchant teams to bring these products to life.

This is a zero-to-one role. You will be the dedicated PM on this problem.

What You'll Own

• Data-Driven Advertising: Explore and define how ShopBack's purchase signals can power more measurable, high-impact advertising experiences for merchants and brands
• New Revenue Surfaces: Identify and validate how ShopBack's first-party data can be packaged into products that unlock value for external partners - without compromising user trust or data control
• AI-Driven Enhancements: Layer AI on top of ShopBack's data to build smarter audience segments, predictive signals, and automated ad optimisation tools
• Monetization Architecture: Define how ShopBack's data assets are productised, priced, and distributed - without ever compromising user trust or data control
• Go-to-Market: Work closely with merchant sales and partnerships teams to commercialise data products and close deals
• Discovery: Spend time with merchants, advertisers, and enterprise buyers to understand their measurement and targeting pain points before you build

Essentials to Succeed

• Data Product Fluency: You've built or monetized data products before - audiences, segments, attribution models, or alternative data feeds - and understand how buyers evaluate and pay for them
• Retail Media Instinct: You understand how closed-loop advertising works and why purchase data is the most defensible ad-targeting signal available
• AI-Native Thinking: You know when to apply LLMs, ML models, or simple heuristics to a data problem - and you default to what ships fastest with the most impact
• Commercial Acumen: You think in revenue models, not just features. You understand the difference between licensing, SaaS, and usage-based data pricing
• Stakeholder Influence: You move cross-functional teams without direct authority - data engineering, legal, sales, and growth all need to be in your orbit
• High Ownership: You find the data you need, define the problem yourself, and ship without waiting for perfect conditions
• Impact First: You measure success in GMV uplift, revenue unlocked, and advertiser retention - not roadmap velocity