Director, Product

About the role

Kobie is evolving its Product Management organization from project execution to a P&L ownership model. This role sits at the center of that transformation.

Responsibilities

• Define Kobie's data product portfolio with a clear focus on marketing, loyalty, and customer experience outcomes — establishing product boundaries, value propositions, and positioning for KLICs and the Data Engine that go well beyond data movement or pipeline delivery
• Set the standard for what "AI-ready data" means at Kobie — ensuring our behavioral and transactional data is structured, governed, and accessible in ways that support real-time personalization, predictive modeling, and AI-assisted marketing workflows
• Drive the long-term roadmap for data capabilities that help clients transform unified customer data into actionable audiences, personalized experiences, and measurable loyalty outcomes
• Embed practical AI-driven capabilities into existing data products — identifying where AI should assist, accelerate, or automate across the loyalty and marketing analytics lifecycle, in ways that are durable and commercially scalable
• Partner with Data Engineering and Data Science to ensure AI and ML outputs — propensity models, segment recommendations, next-best-action signals — are productized as client-facing capabilities with clear value propositions, not internal experiments
• Actively use AI in your own product workflow; bring firsthand fluency to decisions about where AI belongs in a product and where it doesn't
• Own pricing and packaging strategies for data-driven offerings — usage-based, tiered, and outcome-based models; define the unit of value and validate willingness-to-pay with commercial teams
• Improve attach rates and revenue contribution of data products by translating platform capabilities into client-facing value narratives that sales and client services can execute against
• Own the commercialization framework for new AI-enabled capabilities — from proof-of-concept through pricing validation, GTM readiness, and first client deployment
• Partner with Client Services to identify repeatable patterns across bespoke client work and convert them into standardized, scalable product offerings — with a clear framework for what gets productized versus what stays custom
• Build structured intake and prioritization for product signals from Client Services, Business Development, and clients — roadmap direction driven by patterns and commercial opportunity, not reactive one-off requests

Requirements

• 8-12+ years of product management experience owning commercial outcomes for data, platform, analytics, or engagement products in technology, martech, or data-driven environments
• Demonstrated experience defining and scaling products focused on marketing, loyalty, or customer experience outcomes — not just data infrastructure delivery or database-to-database movement
• Strong commercial acumen: pricing, packaging, and monetization strategy; hands-on experience with usage-based, tiered, or outcome-based pricing models; has owned the unit-of-value definition for a product
• Proven ability to influence across complex, cross-functional environments without always having direct authority — drives a sharp point of view from concept through build and first sale
• An analytical mindset with the ability to translate behavioral data, model outputs, and client feedback into strategic product decisions
• 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

What we'll build together

We are evolving from project execution to a P&L ownership model — where leaders drive revenue, customer satisfaction, and the commercial value of Kobie's data capabilities.

Benefits

Discover more about our perks and benefits here.