Product Manager--Personalization

Hybrid in Phoenix, AZ, US • Posted 19 hours ago • Updated 19 hours ago
Contract Independent
50% Travel Required
Hybrid
$60 - $70/hr
Company Branding Image
Fitment

Dice Job Match Score™

👾 Reticulating splines...

Job Details

Skills

  • Customer Experience
  • Analytical Skill
  • Artificial Intelligence
  • Electronic Commerce
  • Customer Engagement
  • Data Governance
  • Hospitality
  • Data Science
  • A/B Testing
  • Collaboration
  • Communication
  • Marketing
  • Orchestration
  • Presentations
  • Product Management
  • Ideation
  • KPI
  • Machine Learning (ML)
  • Management
  • Customer Facing
  • FOCUS
  • Generative Artificial Intelligence (AI)
  • Roadmaps
  • Strategy Development
  • TLS
  • Use Cases

Summary

Greetings from Tech-Apex:

Role: Product Manager--Personalization
Rate: 60-70/hr on C2C
Location : Phoenix, AZ(Hybrid—3 days)

Role Summary:

We are seeking a Product Manager – Personalization to drive the strategy, development, and execution of personalization capabilities across Travel & Lifestyle Services (TLS) Web and Mobile platforms. This role will focus on building scalable, data-driven experiences that enhance customer engagement, conversion, and overall travel experience through intelligent recommendations and tailored content.

The ideal candidate brings a strong blend of product thinking, technical depth, and storytelling, with experience in personalization, machine learning-driven products, and customer-centric digital experiences.

Key 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

Required Qualifications

  • 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

Preferred Qualifications:

  • 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
  • Understanding of systems such as:
    • Booking flows, recommendation engines, or travel domain constructs (flights, hotels, loyalty, etc.)
    • Data platforms, event tracking, and customer journey systems.

Regards, 
Alex

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91159714
  • Position Id: 8940385
  • Posted 19 hours ago

Company Info

About Pebal Bright Technologies LLC

At the surface, we’re a young and talented group of Software Analysts, Engineers & designers practicing & providing advanced solutions & services in Agile , Software Engineering & Data Analytics.

But our real strength comes from partnering with our clients, sit with them, understand the problem, develop & support their core needs – by continuously adding value to their projects and providing them with quality on-demand services has been our success factor.

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