Sr. Product Owner, AI

How can you make an impact?

As the Sr. Product Owner, you will work closely with users, technology product managers, engineers, designers, and other stakeholders to conduct research, devise innovative ideas, requirements and roadmaps, work with the go-to-market (GTM) teams to successfully launch new platform builds and customer experiences, measure their in-field performance against KPIs, and implement improvement strategies and tactics. You will be responsible for partnering with your director to determine what the product team builds, the investment needed, and the KPIs tied to usage and quality of user experience. The Sr. Product Owner is responsible and accountable for the success of the platform build delivered to market.

The Sr. Product Owner is a champion of our platform vision and a catalyst of new opportunities balancing continued platform improvements with innovation. This role is an opportunity to shape the future direction of McGraw Hill’s platform strategy and delivery for the higher education market.

This is a remote position open to applicants authorized to work for any employer within the United States. It requires up to 20% travel for the year.

What you will be doing:

Strategic Leadership:

Drive AI innovation and product strategy across platforms.
Own investment business cases supporting platform strategy; inclusive of financial forecasts, defining KPIs, obtaining approval, operationalizing, and executing the business cases.
Own market and user research to gain a deep understanding of customer needs, challenges, and motivations as well as, market segmentation & the competitive landscape as it relates to platforms and functionality.
Lead evaluation, selection, and management of AI technology partners and vendors, ensuring alignment with our platform strategy, integration requirements, and ethical AI principles while optimizing for both capability and cost.
Partner with business and product leadership to create a market-focused development roadmap that delivers customer value and maximizes revenue opportunities; accountable for the success of platform build delivered to market.

Technical & Implementation Leadership:

Lead the strategy and implementation of AI features and products, including adaptive learning algorithms, content/feature recommendations, and personalized experiences.
Collaborate with data science teams to develop and refine AI models that enhance platform experiences and user outcomes.
Oversee the ethical implementation of AI, ensuring fairness, transparency, and privacy in all AI-driven features.
Define and drive AI-specific success metrics including model performance, user adoption rates, learning outcome improvements, and ROI of AI features while continuously monitoring and optimizing based on real-world performance data.

Cross-functional & GTM Execution:

Influence and align cross-functional teams including Engineering, Data Science, Product, Design, and GTM stakeholders to drive AI product vision while effectively communicating complex technical concepts and business value to senior leadership.
Partner with business, marketing, and other stakeholders on all aspects of the Go to Market Plan for new features, including but not limited to data capture needed, timeline of release to customers, training, and communication to internal and external customers.

What you can bring to this role:

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.
Working knowledge of LLM frameworks and tools such as LangChain, Semantic Kernel, or LlamaIndex, and understanding of their application in educational contexts.
Understanding of NLP, machine learning, and deep learning principles.
Knowledge of AI ethics, bias mitigation, and responsible AI development.
Data-driven mentality with focus on analyzing and synthesizing financial, 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.

Preferred Experience:

Product analytics expertise (Pendo, Amplitude, or GA4).
Understanding of educational technology integrations (LTI).
Knowledge of accessibility requirements (WCAG).
Proficiency with product management and BI tools (Jira, Confluence, Tableau).
Experience mentoring team members.