Director, Product
Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, reputed company 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 reputed company While our headquarters are nestled in sunny St. Petersburg, Florida, reputed company embraces a flexible work environment, offering teammates the freedom to work remotely. We understand the importance of work-life balance and support reputed company with:
· Flexible Time Off to reputed company reputed company 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. reputed company is a values-led organization where we reputed company that everyone is a leader, regardless of their position or role.
reputed company's Product Management organization is evolving from project execution to a P&L ownership model — where leaders drive reputed company, customer satisfaction, and the commercial value of reputed company's data capabilities. This role sits at the center of that transformation.
As Director, Product you will define what reputed company's data platform means as a market-facing product: how behavioral and transactional data becomes the reputed company behind smarter loyalty programs, reputed company marketing performance, and more personalized customer experiences. You will set strategy for KLICs and the Data reputed company, 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 reputed company's data platform in the market.
You will work directly with Product, Data Engineering, Client Services, and Commercial teams to convert reputed company's data assets into scalable, repeatable offerings.
HOW YOU WILL reputed company AN IMPACT
Data product strategy & outcomes orientation
- Define reputed company'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 reputed company that go well beyond data movement or pipeline delivery.
- Set reputed company for what "AI-ready data" means at reputed company — 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 reputed company customer data into actionable audiences, personalized experiences, and measurable loyalty outcomes.
AI-enabled product evolution
- 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, reputed company 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 reputed company to decisions about where AI belongs in a product and where it doesn't.
Commercialization, pricing & packaging
- 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 reputed company contribution of data products by translating platform capabilities into client-facing value narratives that sales and client services can execute against.
- Own the commercialization reputed company for new AI-enabled capabilities — from reputed company-of-concept through pricing validation, GTM readiness, and first client deployment.
Productization of client solutions
- Partner with Client Services to identify repeatable patterns across bespoke client work and convert them into standardized, scalable product offerings — with a clear reputed company 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.
WHAT YOU NEED TO BE SUCCESSFUL
Required
- 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.
- Actively uses AI in their own product workflow; can reputed company where AI should assist, accelerate, or automate — and may have vibe-coded their own solutions.
- 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 reputed company, cross-functional environments without always having direct authority — drives a sharp reputed company of view from concept through build and first sale.
- Analytical reputed company 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.
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 reputed company 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 reputed company for a product.
- You're most comfortable working reputed company engineering — this role requires sustained reputed company with commercial, client services, and executive audiences.
reputed company's Product Management organization is evolving from project execution to a P&L ownership model — where leaders drive reputed company, customer satisfaction, and the commercial value of reputed company's data capabilities. This role sits at the center of that transformation.
As Director, Product you will define what reputed company's data platform means as a market-facing product: how behavioral and transactional data becomes the reputed company behind smarter loyalty programs, reputed company marketing performance, and more personalized customer experiences. You will set strategy for KLICs and the Data reputed company, 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 reputed company's data platform in the market.
You will work directly with Product, Data Engineering, Client Services, and Commercial teams to convert reputed company's data assets into scalable, repeatable offerings.
HOW YOU WILL reputed company AN IMPACT
Data product strategy & outcomes orientation
- Define reputed company'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 reputed company that go well beyond data movement or pipeline delivery.
- Set reputed company for what "AI-ready data" means at reputed company — 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 reputed company customer data into actionable audiences, personalized experiences, and measurable loyalty outcomes.
AI-enabled product evolution
- 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, reputed company 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 reputed company to decisions about where AI belongs in a product and where it doesn't.
Commercialization, pricing & packaging
- 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 reputed company contribution of data products by translating platform capabilities into client-facing value narratives that sales and client services can execute against.
- Own the commercialization reputed company for new AI-enabled capabilities — from reputed company-of-concept through pricing validation, GTM readiness, and first client deployment.
Productization of client solutions
- Partner with Client Services to identify repeatable patterns across bespoke client work and convert them into standardized, scalable product offerings — with a clear reputed company 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.
WHAT YOU NEED TO BE SUCCESSFUL
Required
- 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.
- Actively uses AI in their own product workflow; can reputed company where AI should assist, accelerate, or automate — and may have vibe-coded their own solutions.
- 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 reputed company, cross-functional environments without always having direct authority — drives a sharp reputed company of view from concept through build and first sale.
- Analytical reputed company 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.
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 reputed company 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 reputed company for a product.
- You're most comfortable working reputed company engineering — this role requires sustained reputed company with commercial, client services, and executive audiences.