Information Technology_USA - USA_Associate Product Manager

Real SoftJacksonville, FL
Onsite

About The Position

The Associate Product Manager will focus on digital products or personalization. This role requires a strong techno-functional background with an understanding of APIs, data platforms, system integrations, and machine learning concepts such as recommendation systems and segmentation. The candidate will have proven experience building and launching customer-facing digital products (web/mobile), a strong analytical mindset for data-driven decision-making, and excellent communication, storytelling, and presentation skills. Responsibilities include managing roadmaps, product lifecycle, and cross-functional teams. Experience in AI/ML-driven personalization or recommendation systems, familiarity with Generative AI tools, and experience in travel, hospitality, or e-commerce domains are highly valued. Exposure to experimentation frameworks (A/B testing), personalization platforms, marketing technologies, and customer engagement platforms is also beneficial. Prior experience within American Express or similar enterprise ecosystems, and an understanding of booking flows, recommendation engines, travel domain constructs, data platforms, event tracking, and customer journey systems are preferred.

Requirements

  • 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
  • Understanding of 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)
  • Exposure to Personalization platforms or orchestration layers
  • Exposure to Marketing technologies and customer engagement platforms
  • Prior experience working with or within American Express / similar enterprise ecosystems
  • Understanding of systems such as Booking flows, recommendation engines, or travel domain constructs (flights, hotels, loyalty, etc.)
  • Understanding of Data platforms, event tracking, and customer journey systems

Responsibilities

  • 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.
  • 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).
  • 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.
  • Create compelling product narratives, presentations, and executive updates.
  • Translate complex technical concepts into clear business value.
  • Influence cross-functional teams and senior leadership.
  • 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.
  • Work with data platforms to leverage 360° customer and supplier data for personalization.
  • Ensure solutions are scalable, compliant, and aligned with data governance standards.
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