Product Manager AI​/ML

Product Manager AI/ML

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