Product Manager, Digital Experience, AI & Personalization

Comcast Comcast · Media · Philadelphia, PA

Product Manager to lead the development and delivery of next-generation digital capabilities that integrate AI-driven personalization, scalable AEO (Answer Engine Optimization) content delivery, and modern Martech platforms. This role will play a critical part in evolving our digital ecosystem by incorporating new marketing technologies and delivering a Global Design System to enable intelligent, personalized customer experiences across B2B digital channels.

What you'd actually do

  1. Define and execute product strategies that incorporate AI capabilities such as personalization, predictive content delivery, and conversational/AEO-driven experiences.
  2. Establish, maintain, and evolve a product ecosystem made up of interconnected digital platforms, balancing customer needs, business goals, technical dependencies, and scalability.
  3. Own the product roadmap for expanding and integrating the enterprise martech stack, including content management systems, digital asset management platforms, and related technologies.
  4. Define and deliver personalized user journeys across web experiences using AI and rules-based targeting.
  5. Lead and develop Product Owners and associated Scrum teams, providing coaching, direction, and support to enhance team performance and delivery.

Skills

Required

  • digital product management
  • customer-facing web experiences
  • integrating marketing technologies
  • B2B digital marketing
  • lead generation
  • product strategy
  • AI capabilities
  • personalization
  • predictive content delivery
  • conversational/AEO-driven experiences
  • AEO content frameworks
  • AI-assisted workflows
  • automation
  • product ecosystem
  • digital platforms
  • customer needs
  • business goals
  • technical dependencies
  • scalability
  • product requirements
  • product lifecycle management
  • product feature backlog
  • engineering teams
  • business value
  • return on investment
  • multi-tenant needs
  • feasibility assessments
  • capability gap analyses
  • roadmap prioritization
  • measurable business outcomes
  • conversion
  • lead generation
  • engagement
  • revenue impact
  • martech stack
  • content management systems
  • digital asset management platforms
  • architecture
  • engineering
  • Global Design System
  • CMS
  • digital experiences
  • digital assets
  • structured content
  • component-based content delivery
  • channels
  • martech and AI tools
  • experimentation
  • content operations
  • user insights
  • market needs
  • Minimum Lovable Products
  • build versus buy decision-making
  • platform strategy
  • privacy and security standards
  • customer data
  • insights
  • experimentation
  • personalized user journeys
  • rules-based targeting
  • analytics
  • marketing teams
  • engagement
  • conversion
  • lead quality
  • UX
  • engineering
  • content strategy
  • marketing
  • analytics teams
  • end-to-end digital experiences
  • stakeholders
  • product vision
  • roadmap
  • priorities
  • senior leaders
  • product narratives
  • data-driven recommendations
  • executive-level communication
  • Product Owners
  • Scrum teams
  • coaching
  • direction
  • support
  • team performance
  • delivery
  • agile environment
  • backlog management
  • sprint execution
  • continuous improvement
  • product planning
  • documentation
  • communication
  • business cases
  • executive summaries
  • roadmap presentations
  • governance frameworks
  • content
  • schema
  • design system adoption
  • digital teams
  • product performance
  • risks
  • opportunities
  • continuous improvement
  • user data
  • product errors
  • market engagement

Nice to have

  • AI-assisted coding tools

What the JD emphasized

  • AI-driven personalization
  • AI-assisted workflows
  • emerging martech and AI tools

Other signals

  • AI-driven personalization
  • AI-assisted workflows
  • emerging martech and AI tools