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Open nowPosted 129 days ago

Product Manager – Personalization & Digital Products (70947-1)

Second Ladder5 open roles

Where
Second Ladder HQ
Work mode
Remote
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Your applicationOpen nowProduct Manager – Personalization & Digital Products (70947-1)Second Ladder · Second Ladder HQ

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 129 days ago

The posting

Job Title: Product Manager – Personalization & Digital Products (70947-1) End Client Industry: BFSI 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 personalizationStrong 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 & RoadmapDefine 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 & RecommendationsBuild 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 & DeliveryOwn 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 & StorytellingCreate compelling product narratives, presentations, and executive updates Translate complex technical concepts into clear business value Influence cross-functional teams and senior leadership

Experimentation & OptimizationDrive 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 IntegrationWork 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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