Hearst Health

Senior Product Manager, Personalization and User Experience

Hearst Health

full-time

Posted on:

Location: New York • 🇺🇸 United States

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Salary

💰 $149,000 - $170,000 per year

Job Level

Senior

About the role

  • Envision and define personalized content experiences tailored to reader interests, intent, and context
  • Collaborate with engineers, data scientists, designers, editorial stakeholders, and audience development managers to define and execute a product roadmap
  • Drive product strategy and roadmap for personalization capabilities including recommendation systems, dynamic content surfacing, and segmentation
  • Proactively identify and address challenges and bottlenecks; manage escalations and make informed trade-offs
  • Synthesize insights from reader feedback, analytics, A/B testing, market trends, and stakeholder requirements to develop product strategies and specifications
  • Communicate product vision, goals, requirements, roadmaps, and timelines to cross-functional teams, including remote and distributed members
  • Influence stakeholders and demonstrate leadership, negotiation, and sound judgment
  • Champion a data-driven, user-centric approach to product development with continuous testing and iteration

Requirements

  • 8+ years of product or program management, product marketing, business development or technology experience
  • Bachelor's degree
  • Experience with feature delivery and tradeoffs of a product
  • Experience owning/driving roadmap strategy and definition
  • Experience with end to end product delivery
  • Experience contributing to engineering discussions around technology decisions and strategy related to a product
  • Experience in technical product management
  • Experience working directly with Engineers on product enhancements
  • Preferred: Experience in project management methodologies, business analysis, or process improvement
  • Preferred: Master's degree or MBA
  • Preferred: Experience in the media, publishing, or content-driven digital products space
  • Proven ability to work with data scientists and understand machine learning concepts to drive personalization
  • Familiarity with A/B testing methodologies and data analytics tools
  • Excellent written and verbal communication skills
  • Applicants must be authorized to work for ANY employer in the U.S.; employer will not sponsor a visa
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