Role : AI / ML Product Manager (Contract)
Location : Remote or On-site:. Raleigh, NC
Duration: 6 months with potential to extend to 12 months.
Role Summary
We are seeking a hands-on AI/ML Product Manager (contract) 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