are. To learn more: <a href="https://plc.pearson.com">We are Pearson.</a></p><p>Pearson is an Equa
dations by emailing <a href="mailto:TalentExperienceGlobalTeam@grp.pearson.com"> TalentExperienceGlobalTeam@grp.pearson.com.</a></p><br><strong>Job: </strong>TECHNOLOGY <br><strong>

Pearson Principle Platform Engineer Durham, North Carolina

About the Role

We are looking for a highly skilled and strategic Principal Platform Engineer to play a critical role in shaping our next-generation AI-powered content authoring and delivery platform . This content platform empowers authors, teachers, and professors to create dynamic learning experiences for students through cutting-edge AI, interactive assessments, asset management, APIs, and scalable content delivery solutions .

Reporting directly to the Director of Engineering , you will serve as a technical leader who deeply understands complex systems, ensures teams remain aligned with our mission, and drives the integration of AI across all aspects of our platform. You will spend 50% of your time coding (primarily front-end but full stack) and 50% leading technical direction , providing guidance, documentation, and solutions to ensure our platform is scalable, reliable, and innovative.

This is a hybrid role based out of our Durham, NC office , requiring in-person collaboration when needed.

What You’ll Do

Lead & Direct – Provide technical leadership across the platform, ensuring engineering efforts align with AI integration, scalability, and our broader company initiatives.

Architect & Build – Design and implement AI-driven solutions while maintaining a strong hands-on coding presence (React, TypeScript, APIs, backend services) .

Drive AI Integration – Work with AI models, automation tools, and ML-driven content generation to enhance the authoring experience and optimize platform capabilities.

Cross-Team Collaboration – Engage with 20+ teams , ensuring alignment, surfacing risks, and advocating for efficient and scalable technical solutions .

Problem-Solve & Align – Negotiate, advocate, and push back when necessary to keep teams focused and solutions aligned with business priorities .

Guide & Influence – Lead technical discussions, ensuring teams understand the “why” behind AI-driven decisions while balancing trade-offs across usability, performance, and maintainability.

Communicate Clearly – Translate complex AI and engineering concepts into clear, actionable strategies for diverse stakeholders.

Document & Diagram – Create high-quality technical documentation and system diagrams that drive clarity and execution.

What Makes a Great Candidate?

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