Product Manager – Customer Lifetime Value

Maya

Negotiable
Remote3-5 Yrs ExpBachelorFull-time
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Remote Details

Open CountryPhilippines

Language RequirementsEnglish

This remote job is open to candidates in specific countries. Please confirm if you want to continue despite potential location restrictions

Job Description

Description

As a Product Manager for Customer Lifetime Value (CLV) products, you will play a pivotal role in driving long-term customer relationships and sustainable business growth by developing and implementing product strategies, capabilities and experiences to maximize customer acquisition, engagement, retention, and monetization. This product role sits at the intersection of user experience, data, and growth, requiring a strong analytical, customer-centric, insights-informed mindset and a valuebased approach.




What you will do:


In this role, you will primarily set and own the vision, execution and management of Customer Lifetime Value (CLV) Products:


CLV Product Strategy and Management:

• Formulate, garner support for, and implement a comprehensive vision and strategy for CLV products that align with overall business objectives and the broader consumer product vision.

• Identify and prioritize opportunities to improve CLV across the customer lifecycle and establish key performance indicators (KPIs) and track progress against targets.

• Collaborate with engineering, design, commercial, marketing and operations teams to develop and implement CLV product features and initiatives that enhance customer engagement and retention.

• Conduct A/B testing and other experiments to optimize product performance and improve CLV. • Define, document and secure concurrence to product requirements, user stories, and product prioritization.


Product data analysis and insighting:

• Analyze customer behavior, transaction data, market insights, and other relevant metrics to identify trends and patterns, develop and maintain CLV models to predict future customer value.

• Utilize data visualization tools to communicate insights and recommendations to stakeholders. • Develop and implement product strategies to drive organic customer acquisition, usage, retention, referral and revenue

• Drive funnel analysis of CLV products to ensure continuous improvement of product value proposition and experience Customer Segmentation and Personalization

• Leverage data and AI to develop and implement customer segmentation strategies to create new segmentation, tailor customer experiences, value proposition and communication to specific segments

• Leverage data and AI to launch gamification and personalization capabilities for internal use and for external monetization


Customer Segmentation and Personalization :

• Leverage data and AI to develop and implement customer segmentation strategies to create new segmentation, tailor customer experiences, value proposition and communication to specific segments

• Leverage data and AI to launch gamification and personalization capabilities for internal use and for external monetization


What you need to succeed:

• Bachelor's degree in Business Management, Marketing Management, Computer Science/Engineering, or a related field.

• Seasoned expertise in product management, preferably with a focus on customer engagement, AI-driven solutions

• Proven track record of successfully launching and iterating on customer engagement, retention and monetization product offerings for financial services products.

• Strong understanding of customer behavior, data analysis, and market research methodologies.

• Ability to prioritize tasks, work independently, and meet deadlines in a fast-paced environment.

• Passion for building products that create value for both customers and the business.

• Strategic and logical thinker, with effective planning, analytical and problem-solving abilities.


Requirements

Please refer to job description.

Product StrategyMarket ResearchStakeholder ManagementAgile MethodologiesUser ExperienceData AnalysisRoadmap DevelopmentCompetitive AnalysisCross-Functional Collaboration
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HR ManagerMaya

Posted on 07 May 2025

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