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Operations & Project Management

AI / ML Product Manager

RIIASH LLCRaleigh, NC🇺🇸United StatesPosted 13 Aug 2026

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Role Summary

We are 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

Skills

Agile
Confluence
Jira
Requirements Gathering

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