Hearst Magazines is looking to evolve its AI-driven personalization and content discovery experiences across its digital touchpoints to make user experiences uniquely relevant, engaging, and valuable.
Requirements
- 5+ years of product management experience, with a significant focus on personalization, recommendation systems, or AI/ML-driven user-facing features.
- Proven experience launching and iterating on products that leverage machine learning models to drive user engagement.
- Strong understanding of personalization techniques, recommendation algorithms, A/B testing, and user segmentation.
- Experience working closely with data science and engineering teams in an agile environment.
- Excellent analytical and problem-solving skills, with a demonstrated ability to use data to inform decisions.
- Familiarity with specific machine learning concepts and evaluation metrics relevant to recommendations.
- Ability to translate complex technical ideas into clear product requirements.
Responsibilities
- Develop and execute the product vision, strategy, and roadmap for personalization and recommendation AI capabilities.
- Define and prioritize product requirements, user stories, and success metrics for new features and enhancements.
- Collaborate closely with data scientists, machine learning engineers, and software engineers to design, build, test, and iterate on personalization models and product integrations.
- Work with UX designers and researchers to ensure personalized experiences are intuitive, delightful, and meet user needs.
- Partner with Product Managers across different brand and platform teams to integrate personalization capabilities effectively into their respective products.
- Continuously monitor and analyze the performance of personalization features, using data to drive improvements and identify new opportunities.
- Stay abreast of industry best practices and emerging technologies in personalization, recommendations, and user modeling.
Other
- Bachelor’s degree in a relevant field (e.g., Computer Science, Engineering, Data Science, HCI) or equivalent practical experience.
- Experience in the media, publishing, or digital content industry.
- Strong communication and collaboration skills.
- Work-Life Harmony: Enjoy the flexibility of hybrid work
- Foster Connection & Belonging: Join our Employee Resource Groups
