AI / ML Product Manager
$75 per hourOMG Technology
Role Description
We are seeking a hands-on AI/ML Product Manager 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, 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.
Qualifications
- 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.
Requirements
- 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.
Preferred Qualifications
- Experience with loyalty platforms or rewards ecosystems.
- Experience supporting RFP/vendor selection processes.
- Familiarity with personalization engines or recommendation systems.
Benefits
- NO Benefits
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