Information Technology_USA - USA_Associate Product Manager
Real Soft, Inc.
Jacksonville, FL, USA
5/4/2026
Engineering
Full time
**Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES B/T UNDERSCORES
PTN_US_GBAMSREQID_CandidateBeelineID
i.e. PTN_US_9999999_SKIPJOHNSON0413
: -/hr
MSP Owner: Kelly Gosciminski
Location: Phoenix, AZ - onsite
Duration: 6 months
skill id: 10666613
Product Manager
"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 American Express / 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
Role Descriptions: 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
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
Desirable Skills:
Keyword:
Skills: Product Management
Experience Required:, Project Code :
ALL CAPS, NO SPACES B/T UNDERSCORES
PTN_US_GBAMSREQID_CandidateBeelineID
i.e. PTN_US_9999999_SKIPJOHNSON0413
: -/hr
MSP Owner: Kelly Gosciminski
Location: Phoenix, AZ - onsite
Duration: 6 months
skill id: 10666613
Product Manager
"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 American Express / 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
Role Descriptions: 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
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
Desirable Skills:
Keyword:
Skills: Product Management
Experience Required:, Project Code :