Job Title: Product Manager AI/ML
Duration: 6 months with potential to extend to 12 months and possible conversion
Location: Raleigh NC
Open for considering Remote candidates from location Raleigh, NC
Work Schedule: 7:30 AM - 4:30 PM
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Role Summary
Client is 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
apolis2024