Hearst Magazines · 1 hour ago
Product Manager, Personalization & Recommendation AI
Hearst Magazines is a global media company that publishes a wide range of iconic brands and engages with nearly 130 million readers. The Product Manager for Personalization & Recommendation AI will define and evolve AI-driven personalization experiences, owning the product strategy and roadmap for recommendation engines and personalized content feeds.
Media and EntertainmentPublishing
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
Champion a user-centric and data-driven approach to product development
Qualification
Required
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
Bachelor's degree in a relevant field (e.g., Computer Science, Engineering, Data Science, HCI) or equivalent practical experience
Preferred
Preferred experience in the media, publishing, or digital content industry
Preferred familiarity with specific machine learning concepts and evaluation metrics relevant to recommendations
Preferred ability to translate complex technical ideas into clear product requirements
Preferred strong communication and collaboration skills
Benefits
Collaborate with top-tier professionals across media, advertising, tech, fashion, lifestyle, and publishing, shaping the future of these dynamic industries.
Unlock your potential with access to innovative training programs, immersive workshops, and exclusive industry events.
Enjoy the flexibility of hybrid work, empowering you to balance professional success with personal priorities.
Join our Employee Resource Groups and help create a welcoming workplace where everyone feels valued and empowered.
Prioritize your well-being with a comprehensive benefits package that includes medical, dental, and vision insurance from Day 1.
Enjoy competitive financial perks, including a 401(k) plan with a generous company match.
Company
Hearst Magazines
Hearst Magazines is a Media Production house.
H1B Sponsorship
Hearst Magazines has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (1)
2023 (1)
Funding
Current Stage
Late StageRecent News
2025-09-23
2025-08-29
Company data provided by crunchbase