SAP iXp Intern - Product Management, Digital Platforms & AI [Newtown Square, PA]

Public source summary from intern-list.com / Jobright.

SAP is hiring a Product Management Intern for its Digital Platforms team. The intern will support operations and transformation of SAP’s digital properties, including SAP.com, by coordinating platform delivery and helping integrate, monitor, and govern AI-driven experiences.

Responsibilities

Prompt & Experience Engineering: Support the refinement of RAG (Retrieval-Augmented Generation) workflows by documenting client needs and helping technical teams tune AI responses for accuracy and brand voice Digital Platform Orchestration: Coordinate production schedules ensuring assets meet SAP’s high standards for quality, governance, and metadata accuracy Data-Driven Insights: Utilize Analytics to track the performance of new capabilities Support technical readiness and enablement for new technologies

AI Operations

Support: Assist in the deployment and monitoring of SAP Joule and Adobe AI Assistant across the digital ecosystem to automate B2B buyer journeys and content supply chains Agile Value Delivery: Actively participate in SAFe (Scaled Agile Framework) ceremonies.

Help manage the Team Backlog, focusing on user stories related to AI-driven personalization and "segmentation-of-one" strategies Responsible AI Governance: Assist in audits to ensure all digital AI features adhere to SAP’s Responsible AI global standards, focusing on data privacy, transparency, and bias monitoring Digital Transformation: Support SAP’s roll out of industry leading Marketing technologies including the Adobe Suite (AEP)

Qualifications: A curious and agile mindset, with a passion for learning and the resilience to adapt in a fast-paced, evolving environment Strong problem-solving and creative thinking skills, with the ability to collaborate across teams and communicate ideas clearly and effectively Emotional intelligence and cultural awareness that support inclusive teamwork and thoughtful stakeholder engagement A growing foundation in business acumen and emerging technologies — especially artificial intelligence — paired with a results-oriented approach and the courage to take initiative In pursuit of a degree in Marketing Tech, Data Science, Computer Science, or Digital Transformation Must be currently enrolled, or recently graduated (start date must be within 6 months of graduation date) from a coding academy/bootcamp, apprenticeship, associate, bachelor's, master's or JD/PhD program Basic understanding of Agile/Scrum or SAFe 6.0 Knowledge of how "Sprints" move a product from vision to reality A strong desire to learn the mechanics of Large Language Models (LLMs), Vector Databases, and Agentic Orchestration Familiarity with the Adobe Experience Cloud (AEP, AEM, Target, or Analytics) or similar enterprise-grade CMS/MAP Proficiency in Jira/Confluence for workflow management and Figma for reviewing AI-prototype UX designs Ability to translate business concepts into clear technical requirements working with diverse stakeholder groups Digital mindset, Innovative thinker, and Technically savvy Drive for knowledge and relationships building Proactive and eager to jump in Exceptional organizational and planning skills and a proven ability to multi-task Excellent communication, customer service, and collaboration skills Attention to detail with an emphasis on accuracy and quality Ability to prioritize effectively to manage multiple projects, including numerous deliverables Experience working in a team environment as well as independently Ability to collaborate across teams globally Ability to complete tasks in a timely manner Strong desire to learn along with professional drive Willingness to acquire new skills to meet evolving needs Proficiency with Microsoft Office programs, including Word, Excel, and PowerPoint Basic knowledge of design principles and commonly used tools Basic understanding of Web production tools and content management systems Understanding how AI agents interact with humans and the ability to map those "conversational" journeys The ability to structure queries for GenAI tools to produce high-quality, brand-compliant business outputs Moving beyond "reporting" to "analysis"—understanding metrics like AI Confidence Scores, Conversion Lift, and Pipeline Velocity

Benefits: Personalized mentoring, coaching, and career development support. Hands-on learning experience contributing to meaningful projects. Learning resources and future-ready skills through virtual, in-person, and hybrid learning sessions.

Flexible working models.