AI / ML Product Manager- REMOTE- EST Candidates Preferred

Dice is seeking a hands-on AI/ML Product Manager to support the launch of a next-generation loyalty and personalization platform. This role will lead requirements gathering and product definition, translating AI-driven insights into executable product capabilities for campaigns and customer engagement.

Responsibilities:

• Lead requirements gathering and structured workshops with Marketing, Loyalty, and Operations teams to define promotions, rewards, campaign needs, and customer journeys (earn, engage, redeem)
• Translate business input into epics, user stories, detailed product requirements, and functional/non-functional specifications
• Define and operationalize AI/ML use cases, including predictive segmentation and targeting, personalized offers and rewards, and 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 teams to drive delivery
• Define measurement frameworks including campaign tracking, segmentation performance, and experimentation

Requirements:

• 5 8+ years of Product Management experience
• Proven experience leading business workshops and stakeholder sessions
• Experience converting ambiguous requirements into structured product artifacts
• Experience with Loyalty, Martech, CRM, or Customer Engagement platforms
• Experience with AI/ML-driven or data-driven personalization products
• Strong understanding of customer segmentation, campaigns, and lifecycle marketing
• Agile & Product Tools: Jira, Confluence
• 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 (Salesforce Marketing Cloud or similar)
• Working knowledge of APIs, system integrations, and data flows
• Experience with loyalty platforms or rewards ecosystems
• Experience supporting RFP/vendor selection processes
• Familiarity with personalization engines or recommendation systems