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USA_Associate Product Manager

Job in Phoenix, Maricopa County, Arizona, 85003, USA
Listing for: Varite, Inc
Full Time position
Listed on 2026-06-02
Job specializations:
  • IT/Tech
    Data Analyst, AI Engineer, Product Designer, Ecommerce
Salary/Wage Range or Industry Benchmark: 47.85 - 49.26 USD Hourly USD 47.85 49.26 HOUR
Job Description & How to Apply Below
Pay Rate Range: $47.85 - 49.26/hr.
GBaMS ReqID:

Product Manager

Job Description:
"5–7+ years of experience in Product Management, with a focus on digital products or personalization

· Strong techno-functional background with understanding of: o APIs, data platforms, and system integrations o 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: o Experimentation frameworks (A/B testing) o Personalization platforms or orchestration layers o Marketing technologies and customer engagement platforms

· Prior experience working with or within Client / similar enterprise ecosystems

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

Product Strategy & Roadmap o Define and execute the roadmap for personalization capabilities across web, mobile, and marketing channels o Identify opportunities to enhance customer experience using data, AI/ML, and contextual insights o Align product vision with business goals such as engagement, conversion, and revenue growth
· Personalization & Recommendations o Build and scale personalization use cases such as recommendations, segmentation, dynamic content, and cross-sell o Leverage customer, supplier, and contextual data to deliver relevant and timely experiences o Partner with data science teams to develop and optimize ML models (e.g., recommendation systems, propensity models)

· Execution & Delivery o Own end-to-end product lifecycle from ideation to launch and optimization o Drive execution through strong collaboration with engineering, data, design, and business stakeholders o Manage product backlogs, prioritize features, and ensure timely delivery

· Stakeholder Management & Storytelling o Create compelling product narratives, presentations, and executive updates o Translate complex technical concepts into clear business value o Influence cross-functional teams and senior leadership

· Experimentation & Optimization o Drive A/B testing and experimentation frameworks to continuously improve performance o Track KPIs such as engagement, CTR, conversion, and revenue impact o Use insights to refine personalization strategies and models

· Data & Platform Integration o Work with data platforms to leverage 360° customer and supplier data for personalization o Ensure solutions are scalable, compliant, and aligned with data governance standards

Essential Skills:
57 years of experience in Product Management| with a focus on digital products or personalization Strong techno-functional background with understanding of o APIs| data platforms| and system integrations o Machine learning concepts (recommendation systems| segmentation| etc.) Proven experience building and launching customer-facing digital products (webmobile) 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 AIML-driven personalization or recommendation systems Familiarity with Generative AI tools and applications in personalization Experience in travel| hospitality| or e-commerce domains Exposure to o Experimentation frameworks (AB testing) o Personalization platforms or orchestration layers o Marketing technologies and customer engagement platforms

Skills: Product Management

Skills:

Category Name Required Importance Experience Skill Category Test1 _MN Product Management Yes 1 7+ years
Position Requirements
10+ Years work experience
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