Key skills
Product ManagementAI/ML-driven personalization productsLoyalty platformsMartech platformsCRM platformsCustomer segmentationCampaign managementLifecycle marketingJiraConfluencePRDsEpicsUser storiesAcceptance criteriaJourney mappingJobs To Be Done (JTBD)Capability mappingSQLA/B testingSalesforce Marketing CloudAPIsSystem integrationsData flowsLeading business workshopsStakeholder sessionsAIMLAnalyticsSaaSSalesforceCRMAgileA/B Testing
About this role
Apptad 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, business workshops, and product definition, translating AI-driven insights into executable product capabilities for campaigns, segmentation, and customer engagement.
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
Requirements:
- 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
- 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
- Experience with loyalty platforms or rewards ecosystems
- Experience supporting RFP/vendor selection processes
- Familiarity with personalization engines or recommendation systems