Remote - AI / ML Product Manager (Contract)

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