Director, Product
Raleigh, Rush County, Indiana, USA
Listed on 2026-04-29
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IT/Tech
Data Analyst, AI Engineer, Data Science Manager, Machine Learning/ ML Engineer
Join a National Top Workplace
Named a Top Workplace in the USA and Top Remote Workplace, Kobie is where the best minds in loyalty come together, driven by passion and innovation. We’re always looking for talented individuals who are ready to join a collaborative, growth-focused culture. As a partner to some of the world’s most recognized brands, we are leaders in loyalty, helping brands build lasting emotional connections with their consumers.
Join Us from Anywhere
While our headquarters are nestled in sunny St. Petersburg, Florida, Kobie embraces a flexible work environment, offering teammates the freedom to work remotely. We understand the importance of work-life balance and support our team with:
- Flexible Time Off to recharge when needed
- Nine Company-Wide Holidays
- A diverse suite of benefits prioritizing your growth, development, and personal well-being
Discover more about our perks and benefits here.
Kobie's Product Management organization is 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. This role sits at the center of that transformation.
As Director, Product you will define what Kobie's data platform means as a market-facing product: how behavioral and transactional data becomes the engine behind smarter loyalty programs, better marketing performance, and more personalized customer experiences. You will set strategy for KLICs and the Data Engine, build the commercial model to monetize them, and ensure our data capabilities fuel AI-driven outcomes — not just move data between systems.
Success at year one looks like increased attach rates, at least one AI-powered capability live with measurable client outcomes, and clear differentiated positioning of Kobie's data platform in the market.
You will work directly with Product, Data Engineering, Client Services, and Commercial teams to convert Kobie's data assets into scalable, repeatable offerings.
How you will make an impactData product strategy & outcomes orientation
- 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…
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