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Remote (EST)/Raleigh, NC

• Role will support the consolidation of DIY and Pro Rewards loyalty platforms into a single AI/ML-driven personalization platform.
• Strong focus on AI/ML, Loyalty, Personalization, Martech, Customer Engagement, and Product Management.
• Candidate must be able to lead workshops, gather ambiguous requirements, create epics/user stories, and partner closely with engineering teams.
• Strong understanding of data, customer segmentation, personalization, campaign management, and AI-driven recommendations is required.
• Experience with Microsoft Fabric is highly preferred, while Google Cloud Platform (including AI/ML services) is considered a strong plus.
• Agentic AI experience is highly valued.
• Marketing/loyalty domain experience is preferred, but strong AI/ML Product Management experience can compensate

Role Summary
Client is seeking a hands-on AI/ML Product Manager to support the launch of a next-generation loyalty and personalization platform across Advance Rewards (DIY) and Pro Rewards (B2B).
This role will lead requirements gathering, business workshops, and product definition, translating AI-driven insights into executable product capabilities for campaigns, segmentation, and customer engagement.
Key Responsibilities
Lead requirements gathering and structured workshops with Marketing, Loyalty, and Operations teams to define:
Promotions, rewards, and campaign needs
Customer journeys (earn, engage, redeem)

Translate business input into:
Epics, user stories, and detailed product requirements
Functional and non-functional specifications
Define and operationalize AI/ML use cases, including:
Predictive segmentation and targeting
Personalized offers and rewards
Behavioral insights and pattern detection
Ensure AI outputs are actionable within marketing campaigns and loyalty experiences
Support RFP, vendor evaluation, and build vs. buy decisions
Partner cross-functionally with Product, Marketing, Engineering, and Data Science to drive delivery
Define measurement frameworks including campaign tracking, segmentation performance, and experimentation
Required Qualifications
5 8+ years of Product Management experience
Proven experience:
Leading business workshops and stakeholder sessions
Converting ambiguous requirements into structured product artifacts

Experience in one or more:
Loyalty, Martech, CRM, or customer engagement platforms
AI/ML-driven or data-driven personalization products
Strong understanding of:
Customer segmentation, campaigns, and lifecycle marketing

Technical & Tooling Skills (Required)
Agile & Product Tools: Jira, Confluence (backlog management, sprint planning, documentation)
Product Artifacts: PRDs, epics, user stories, acceptance criteria
Workshop Frameworks: Journey mapping, JTBD, capability mapping
Data & Analytics: SQL (working knowledge), segmentation logic, A/B testing
SaaS / Martech Platforms: CRM, CDP, campaign orchestration tools (e.g., Salesforce Marketing Cloud or similar)
Working knowledge of:
APIs, system integrations, and data flows

Preferred
Experience with loyalty platforms or rewards ecosystems
Experience supporting RFP/vendor selection processes
Familiarity with personalization engines or recommendation systems