Product Manager, AI-Powered Content & Operation...
@ Hearst Magazines

New York, NY
$165,000
On Site
Full Time
Posted 1 day ago

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Job Details

Overview (Why This Role?)

The Product Manager, AI-Powered Content & Operational Tools role is focused on leveraging Artificial Intelligence (AI) and Machine Learning (ML) to enhance the content lifecycle management and improve operational efficiencies for internal teams at Hearst Magazines. You will drive product strategy for tools that augment human capabilities, automate repetitive tasks, and unlock new efficiencies.

About Hearst Magazines (Why Us?)

Hearst Magazines, with over 30 iconic U.S. brands such as Cosmopolitan, ELLE, Esquire, and Harper’s BAZAAR, reaches nearly 130 million readers monthly. As a global media company with advanced content creation and data capabilities, Hearst shapes what’s next in media and publishing across digital, video, social, and print.

Key Responsibilities (What You Are Doing)

  • Develop and own the product vision, strategy, and roadmap for AI-powered tools.
  • Identify use cases and define product requirements for AI solutions like automated content tagging and SEO optimization.
  • Collaborate with editorial teams, marketing operations, data scientists, and engineers.
  • Prioritize initiatives based on efficiency, cost savings, and content quality impact.
  • Define and track key success metrics to measure ROI of AI-powered tools.
  • Stay updated with advancements in AI/ML for content operations and workflow automation.

Qualifications (What We’re Looking For)

  • 5+ years of product management experience, focusing on internal tools or workflow automation.
  • Experience applying AI/ML to solve business problems or enhance operational efficiency.
  • Strong understanding of content creation and management processes in media or publishing.
  • Proven ability to work with diverse stakeholders and translate pain points into product solutions.
  • Experience with agile development and managing a product backlog.
  • Bachelor’s degree in a relevant field or equivalent practical experience.
  • Preferred direct experience with AI/ML projects (e.g., NLP, computer vision, predictive analytics).
  • Familiarity with editorial workflows and content management systems.
  • Strong analytical skills and experience in change management.

Benefits (What We Offer)

  • Work with top-tier professionals across media, advertising, tech, and publishing.
  • Access to innovative training programs, workshops, and exclusive industry events.
  • Enjoy hybrid work flexibility for better work-life harmony.
  • Be part of Employee Resource Groups fostering a welcoming workplace.
  • Comprehensive benefits package including medical, dental, and vision insurance from Day 1.
  • Competitive financial perks including a 401(k) plan with a generous company match.

Compensation

The base salary for this role is between $149,000 and $181,000, dependent on transferable skills, work experience, business needs, and market demands.

Equal Opportunity

Hearst Magazines is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by law.

Key skills/competency

  • Product Management
  • AI
  • Machine Learning
  • Content Management
  • Workflow Automation
  • Internal Tools
  • Agile
  • Collaboration
  • Data Analysis
  • Stakeholder Engagement

How to Get Hired at Hearst Magazines

🎯 Tips for Getting Hired

  • Research Hearst Magazines' culture: Study mission, values, and recent news.
  • Customize your resume: Highlight product management and AI experience.
  • Network with current employees: Use LinkedIn for insights.
  • Prepare for agile questions: Review experience with agile development.

📝 Interview Preparation Advice

Technical Preparation

Review AI/ML fundamentals and case studies.
Familiarize with agile product management tools.
Practice defining product requirements in tech terms.
Study internal content management systems.

Behavioral Questions

Describe a challenging stakeholder scenario.
Explain a time you led change.
How do you prioritize conflicting tasks?
Discuss a project with measurable impact.

Frequently Asked Questions