Senior Product Manager (eCommerce)

Mediacorp is Singapore's largest content creator and national media network, operating a suite of TV channels, radio stations, and multiple digital platforms. Its mission is to engage, entertain, and enrich audiences by harnessing the power of creativity.

We are committed to creating an inclusive and diverse workplace where talent thrives. Our hiring decisions are made based on merit and fit-to-role. If you have a disability or special need which requires accommodation to participate in the recruitment process, please inform us when you submit your online application. We will be happy to support as necessary.

Thank you for your interest and application to this role. Please note that only short-listed candidates will be contacted.

As Senior Product Manager (e-Commerce), you will define and lead the product strategy for The Wonder Shop, driving engagement, customer lifetime value, and consequently revenue growth.

This is a strategic role with accountability for commercial outcomes, platform evolution, and AI-enabled optimisation across the end-to-end commerce journey. You will leverage data science, automation, and AI-powered tools to enhance customer experience, merchandising intelligence, and operational efficiency.

Key Responsibilities

1. Product development

• Define and execute the multi-year product roadmap aligned with Mediacorp's digital and commerce strategy.


• Own key metrics including engagement, conversion rate and retention.


• Identify and deploy AI-driven growth levers such as:
  
  
  
  • Personalized product recommendations
  
  
  • Intelligent search and discovery
  
  
  • Predictive merchandising and dynamic bundling
  
  
  • Partner with business stakeholders on growth and forecasting
  
  
  
  

1. AI-Driven Customer Experience & Platform Optimisation

• Lead experimentation strategy (A/B testing, multivariate testing, personalisation).


• Integrate AI tools into the commerce stack to improve:
  
  
  
  • On-site search relevance
  
  
  • Customer segmentation
  
  
  • Lifecycle marketing triggers
  
  
  • Cart recovery and churn prediction
  
  
  
  


• Drive automation in content tagging, product enrichment, and catalogue optimisation.


• Ensure ethical, responsible, and compliant use of AI and customer data.

1. Content-Commerce & Ecosystem Integration

• Enable shoppable content and contextual product recommendations within articles, videos, and live streams.


• Collaborate with editorial and marketing teams to deploy data-driven campaign targeting and performance optimisation.

1. Data, Analytics & Decision Intelligence

• Define North Star metrics and build performance dashboards across acquisition, engagement, conversion, and retention.


• Translate advanced analytics and predictive modelling insights into product prioritisation.


• Partner with data science teams to:


• Develop customer propensity models


• Identify high-value segments and cross-sell opportunities


• Foster a culture of experimentation, data literacy, and AI-assisted decision-making within the team.

1. Stakeholder Management

• Lead cross-functional efforts involving engineering, design, analytics, marketing, and operations.


• Influence senior leadership on product investment decisions backed by data and AI-driven insights.


• Manage external platform vendors, AI solution providers, and technology partners.

• 8-10+ years of product management experience, with significant exposure to e-commerce, marketplace, or digital consumer platforms.


• Demonstrated experience using AI/ML-driven solutions in product development or optimisation.


• Strong understanding of experimentation frameworks, data analytics, and customer lifecycle metrics.


• Experience working closely with data science and analytics teams.


• Deep familiarity with modern e-commerce tech stacks including CMS, CRM, marketing automation, payments, logistics, and analytics platforms.


• Strong commercial acumen with ability to link AI initiatives to measurable business outcomes.


• Proven leadership in cross-functional, agile environments.

Preferred Qualifications

• Experience implementing recommendation engines, search optimisation, or personalisation platforms.


• Familiarity with generative AI applications in commerce (e.g., automated product descriptions, conversational shopping assistants, AI merchandising copilots).


• Experience in media, content-driven commerce, or social/live commerce ecosystems.


• Exposure to loyalty, subscription, or membership-based business models.

Leadership Competencies

• Strategic thinker with strong execution capability


• Data-driven and AI-fluent decision-maker


• Customer-obsessed growth mindset


• Influential communicator across senior stakeholders


• Comfortable navigating ambiguity, innovation, and transformation