AI / ML Product Manager- REMOTE- EST Candidates Preferred

OMG Technology•Raleigh, NC

1d•Remote

About The Position

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.

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.

Nice To Haves

Experience with loyalty platforms or rewards ecosystems.
Experience supporting RFP/vendor selection processes.
Familiarity with personalization engines or recommendation systems.

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.