Director, Product

Strongly preferred

• Experience with behavioral data platforms, customer data infrastructure, or CDPs — how event-level data is collected, governed, and activated for personalization and AI use cases.
• Familiarity with loyalty program data economics — how transactional, behavioral, and engagement signals combine to drive member retention, offer optimization, and lifetime value.
• Experience integrating AI and ML capabilities — propensity models, recommendation engines, next-best-action — into existing product workflows rather than shipping standalone AI features.
• Background in or exposure to agentic AI workflows, real-time decisioning, or AI-assisted campaign and offer optimization.
• Experience in adjacent domains — retail media, fintech data products, adtech, or digital analytics — where data monetization and client-outcome orientation are core to the product model.

This role is not a fit if

• Your product experience is primarily in data engineering or infrastructure delivery — commercial ownership and client outcome orientation are central to this role.
• AI is a talking point on your resume rather than something you actively use and build with today.
• You've managed data platform roadmaps but have never owned pricing, packaging, or attach rate for a product.
• You're most comfortable working within engineering — this role requires sustained fluency with commercial, client services, and executive audiences.