Sr. Product Owner, AI Authoring Systems

• Drive AI product strategy across the authoring ecosystem, identifying opportunities where AI can meaningfully accelerate content development, improve quality, and expand delivery capabilities.
• Create investment business cases supporting platform strategy, including, KPI definition, stakeholder approvals, buy/build/partner recommendations, and execution accountability.
• Conduct ongoing market and user research to deeply understand authoring team needs, content development challenges, and the competitive landscape for AI-powered authoring tools.
• Partner with business and product leadership to build an iterative development roadmap that delivers measurable customer value and drives revenue growth.
• Lead evaluation, selection, and management of AI technology partners and vendors, ensuring alignment with platform strategy, ethical AI principles, and cost optimization.

AI & Technical Implementation

• Lead strategy and implementation of AI-powered authoring features including intelligent content generation, adaptive recommendations, automated tagging and taxonomy, and quality assurance tooling.
• Collaborate with data science and engineering teams to develop and refine AI/ML models that enhance authoring workflows and improve content outcomes.
• Maintain strong working knowledge of LLM-powered product patterns (e.g., RAG, prompt orchestration, evaluation/guardrails) and common orchestration frameworks (e.g., LangChain, Semantic Kernel, LlamaIndex) to define feasible, high-value features-without requiring hands-on engineering.
• Oversee ethical AI implementation-ensuring fairness, transparency, bias mitigation, and privacy across all AI-driven authoring features.
• Define and monitor AI-specific success metrics, including model performance, user adoption, content quality improvements, and ROI of AI investments.

Authoring Ecosystem Ownership

• Own the end-to-end product lifecycle for authoring systems-from conception and requirements through launch, iteration, and continuous improvement.
• Serve as the voice of the customer within the authoring ecosystem, representing production teams, SMEs, vendors, and instructional designers in all product decisions.
• Partner with technical and product leaders across the organization to align authoring platform investments with broader content strategy and delivery goals.
• Lead business acceptance testing (BAT), product training, and enablement for portfolio, marketing, and sales stakeholders.
• Partner with customer support and sales teams to troubleshoot authoring system pain points and drive continuous product improvements.

Cross-Functional & GTM Execution

• Align and influence cross-functional teams-Engineering, Data Science, UX, Production and Product Development, and Platform-around the AI-authoring product vision.
• Effectively communicate complex technical concepts and AI capabilities to senior leadership and non-technical stakeholders.
• Partner with content teams and business stakeholders on all aspects of the Go-to-Market Plan for new features, including data capture, release timelines, training, and internal/external communications.
• Measure and report on in-field product performance against KPIs; update internal stakeholders and adjust strategies as market conditions evolve., McGraw Hill uses an automated employment decision tool (AEDT) to assist in the screening process by recommending candidates with "like skills" based on resume and job data. To request an alternative screening process, please select "Opt-Out" when asked to "Consent to use of Automated Employment Decision Tools" during the application. McGraw Hill is an equal opportunity employer. McGraw Hill is committed to celebrating and supporting the differences that make us each unique and will not discriminate based on a person's gender, gender identity or expression, nationality, color, race, ethnicity, religion, sexual orientation, disability, appearance or veteran status. We are proud to be an equal opportunity and affirmative action employer, and we will also provide reasonable accommodation to qualified individuals with disabilities.

• Bachelor's degree, advanced degree preferred.
• 5-7 years' experience in product management or related field with a focus on AI driven products and features.
• Strong working knowledge of LLM-powered product patterns and common orchestration frameworks (e.g., LangChain, Semantic Kernel, LlamaIndex), with the ability to translate capabilities/constraints into requirements and tradeoffs; hands-on engineering experience is not required.
• Understanding of NLP, machine learning, and deep learning concepts as applied to LLM/GenAI systems (e.g., embeddings, retrieval, evaluation, and risk/quality tradeoffs).
• Knowledge of AI ethics, bias mitigation, and responsible AI development.
• Data-driven mentality with focus on analyzing and synthesizing ROI, usage, and/or research data to understand market trends and product performance to create data-informed strategies.
• Track record of successful AI product and/or feature launches.
• Experience managing and delivering multiple projects to deadline and budget simultaneously.
• Comfortable with ambiguity; adapts and pivots quickly in response to changing conditions.
• Thrives in a fast-paced, deadline-oriented environment.
• Professional experience with agile methodologies and processes.

McGraw Hill is a diverse and inclusive company that believes we can change the world by leveling the playing field and giving every learner an equal opportunity to succeed. We create best-in-class, next-generation learning platforms that are used by millions of students and educators worldwide. Our goal is to accelerate student success through intuitive and effective learning experiences, and to continually reimagine the way our customers teach and learn, simplifying the path to a better education for all., McGraw Hill Higher Education is seeking a Sr. Product Owner, AI Authoring Systems to join its Platform & Product Delivery team. This is a senior, high-impact role that sits at the intersection of artificial intelligence strategy and authoring systems-two domains that together will shape how McGraw Hill develops, refines, and delivers pedagogically rooted educational content at scale. In this role, you will drive AI-powered innovation across the authoring ecosystem, enabling smarter content development workflows, richer authoring tools, and more effective delivery of teaching and learning experiences. You will champion a unified product vision-bridging AI capabilities with the real-world authoring needs of our content teams, instructional designers, and subject matter experts. This is a rare opportunity to define the future of how a world-leading education company builds its content infrastructure.