Product Manager – Personalization & Digital Products

Job Title: Product Manager – Personalization & Digital Products 

Location: Phoenix, AZ (100% On-site)

Must Have Technical/Functional Skills:

• 5–7+ years of experience in Product Management, with a focus on digital products or personalization
  • Strong techno-functional background with understanding of:
  • APIs, data platforms, and system integrations
• Machine learning concepts (recommendation systems, segmentation, etc.)
• Proven experience building and launching customer-facing digital products (web/mobile)
• Strong analytical mindset with ability to use data for decision-making
• Excellent communication, storytelling, and presentation skills
• Experience managing roadmaps, product lifecycle, and cross-functional teams
• Experience in AI/ML-driven personalization or recommendation systems
• Familiarity with Generative AI tools and applications in personalization
• Experience in travel, hospitality, or e-commerce domains
• Exposure to:
  • Experimentation frameworks (A/B testing)
  • Personalization platforms or orchestration layers
  • Marketing technologies and customer engagement platforms
• Prior experience working with or within American Express / similar enterprise ecosystems

Roles & Responsibilities:

• Product Strategy & Roadmap
  • Define and execute the roadmap for personalization capabilities across web, mobile, and marketing channels
  • Identify opportunities to enhance customer experience using data, AI/ML, and contextual insights Align product vision with business goals such as engagement, conversion, and revenue growth
• Personalization & Recommendations
  • Build and scale personalization use cases such as recommendations, segmentation, dynamic content, and cross-sell
  • Leverage customer, supplier, and contextual data to deliver relevant and timely experiences
  • Partner with data science teams to develop and optimize ML models (e.g., recommendation systems, propensity models)
• Execution & Delivery
  • Own end-to-end product lifecycle from ideation to launch and optimization
  • Drive execution through strong collaboration with engineering, data, design, and business stakeholders
  • Manage product backlogs, prioritize features, and ensure timely delivery
• Stakeholder Management & Storytelling
  • Create compelling product narratives, presentations, and executive updates
  • Translate complex technical concepts into clear business value Influence cross-functional teams and senior leadership
• Experimentation & Optimization
  • Drive A/B testing and experimentation frameworks to continuously improve performance
  • Track KPIs such as engagement, CTR, conversion, and revenue impact
  • Use insights to refine personalization strategies and models
• Data & Platform Integration
  • Work with data platforms to leverage 360° customer and supplier data for personalization
  • Ensure solutions are scalable, compliant, and aligned with data governance standards

Must Have:

• 5–7+ years of Product Management experience with a focus on digital products or personalization
• Proven track record building and launching customer-facing digital products (web and/or mobile), with end-to-end ownership of the product lifecycle
• Techno-functional background encompassing APIs, data platforms, system integrations, and working knowledge of machine learning concepts (e.g., recommendation systems, segmentation)
• Experience with AI/ML-driven personalization or recommendation systems, including partnering with data science teams to develop or optimize ML models
• Experience with A/B testing and experimentation frameworks, with demonstrated ability to use data and KPIs to drive product decisions
• Background in travel, hospitality, or e-commerce domains

Nice to Have:

• Familiarity with Generative AI tools and applications in personalization
• Exposure to personalization platforms, orchestration layers, or marketing technologies and customer engagement platforms
• Prior experience working with or within American Express or a similar large enterprise ecosystem

Skills: Product Management, Digital Products, Personalization, APIs, Data Platforms, System Integrations, Machine Learning, Recommendation Systems, Segmentation, Web, Mobile, A/B Testing, Experimentation Frameworks, Personalization Platforms, Orchestration Layers, Marketing Technologies, Customer Engagement Platforms, Generative AI, Propensity Models, Product Roadmap, Product Lifecycle Management, Backlog Management, KPIs, CTR, Conversion Tracking, Dynamic Content, Cross-sell, 360° Customer Data, Data Governance