Product Owner - AI
@ McGraw Hill

Hybrid
$100,000
Hybrid
Full Time
Posted 21 days ago

Your Application Journey

Personalized Resume
Apply
Email Hiring Manager
Interview

Email Hiring Manager

XXXXXXXXX XXXXXXXXX XXXXXXX****** @mheducation.com
Recommended after applying

Job Details

Overview

McGraw Hill is a diverse and inclusive organization that levels the playing field for every learner. We create next-generation learning platforms used by millions of students and educators worldwide. Our aim is to accelerate student success with intuitive, effective learning experiences.

Position: Product Owner - AI for the Platform & Product Delivery team.

This role is remote within the United States and requires 10-20% travel annually.

How can you make an impact?

  • Drive AI strategy by defining product vision and roadmaps.
  • Lead market and user research to understand customer needs.
  • Oversee AI technology partnerships and vendor management.
  • Guide technical implementation of adaptive learning and personalization features.
  • Align cross-functional stakeholders for comprehensive go-to-market execution.

What you can bring to this role?

  • Bachelor's degree required; advanced degree preferred.
  • 5-7 years' experience in product management with an AI focus.
  • Working knowledge of LLM frameworks like LangChain, Semantic Kernel, or LlamaIndex.
  • Understanding of NLP, machine learning and deep learning principles.
  • Knowledge of AI ethics and responsible AI development.

Key skills/competency

  • Product Management
  • AI Strategy
  • Market Research
  • User Experience
  • LLM Frameworks
  • NLP
  • Machine Learning
  • Data Science Collaboration
  • Vendor Management
  • AI Ethics

How to Get Hired at McGraw Hill

🎯 Tips for Getting Hired

  • Customize your resume: Highlight AI product management achievements.
  • Research McGraw Hill: Understand their educational technology impact.
  • Showcase portfolio: Emphasize AI and product strategy projects.
  • Prepare for interviews: Review AI ethics and implementation case studies.

📝 Interview Preparation Advice

Technical Preparation

Review LLM frameworks documentation.
Refresh NLP and machine learning basics.
Practice building AI product roadmaps.
Study AI ethics and bias mitigation.

Behavioral Questions

Describe handling conflicting priorities.
Explain a time you led innovation.
Discuss dealing with stakeholder disagreements.
Share an ethical decision experience.

Frequently Asked Questions