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SAP iXp Intern Product Management Digital Platforms AI

SAP, Newtown Square, PA, United States


Position Title:

SAP iXp Intern – Product Management, Digital Platforms & AI

Location:

Hybrid – Newtown Square

Expected start date:

April 2026

Working hours:

Full time 40 hrs./week

As a Product Management Intern within the Digital Platforms team, you will be at the forefront of the Agentic AI revolution. You will support the "Build & Run" operations for SAP’s premier digital properties—including SAP.com—while advancing our digital platforms to AI‑driven, autonomous experiences. This role is designed for a high‑potential individual eager to master Enterprise MarTech, SAFe Agile delivery, and Generative AI integration.

Key Product 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 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).

What You’ll Bring We’re looking for someone who takes initiative, perseveres, and stays curious. You enjoy working on meaningful and innovative projects and are energized by lifelong learning.

Education

Currently pursuing a degree in Marketing Tech, Data Science, Computer Science, or Digital Transformation.

Eligibility

Must be currently enrolled, or recently graduated (start date within 6 months of graduation) from a coding academy/bootcamp, apprenticeship, associate, bachelor’s, master’s, or JD/PhD program.

Core Skills & Qualifications

Methodology: Basic understanding of Agile/Scrum or SAFe 6.0; knowledge of how "Sprints" move a product from vision to reality.

AI Fluency: Strong desire to learn the mechanics of Large Language Models (LLMs), Vector Databases, and Agentic Orchestration.

Platform Literacy: Familiarity with the Adobe Experience Cloud (AEP, AEM, Target, or Analytics) or similar enterprise‑grade CMS/MAP.

Technical Tools: Proficiency in Jira/Confluence for workflow management and Figma for reviewing AI‑prototype UX designs.

Communication: Ability to translate business concepts into clear technical requirements when working with diverse stakeholder groups.

Additional Qualifications

Digital mindset, innovative thinker, and technically savvy.

Drive for knowledge and relationship building.

Proactive and eager to jump in.

Exceptional organizational and planning skills with 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 and 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.

Cognitive empathy: Understanding how AI agents interact with humans and the ability to map conversational journeys.

Prompt Engineering: Ability to structure queries for GenAI tools to produce high‑quality, brand‑compliant business outputs.

Data Literacy: Moving beyond "reporting" to "analysis"—understanding metrics like AI Confidence Scores, Conversion Lift, and Pipeline Velocity.

Where You Belong

Culture of Collaboration: Partner with experienced SAP colleagues and expert mentors who support your growth. Grow professionally through personalized mentoring, coaching, and career development support.

Project‑Driven Experience: Kickstart your career with hands‑on learning, making an impact from day one by contributing to meaningful projects that help the world run better.

Gain Visibility: Build relationships with leaders and peers across teams and functions. Showcase your ideas, skills, and creativity in a global, fast‑paced environment opening doors for future career opportunities within SAP and beyond.

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, etc.), sexual orientation, gender identity or expression, protected veteran status or disability.

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e‑mail with your request to Recruiting Operations Team: Careers@sap.com.

Compensation Range Transparency SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step towards demonstrating SAP’s commitment to pay equity. SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted combined range for this position is 15‑62 USD. The actual amount to be offered to the successful candidate will be within that range, dependent upon key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection process. Any SAP variable incentive includes a targeted dollar amount and any actual payout amount is dependent on company and personal performance. Please reference this link for a summary of SAP benefits and eligibility requirements: SAP North America Benefits.

AI Usage in the Recruitment Process For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process. Please note that any violation of these guidelines may result in disqualification from the hiring process.

Requisition ID: 444697 | Work Area: Solution and Product Management | Expected Travel: 0‑10% | Career Status: Student | Employment Type: Limited Full Time | Additional Locations: #LI-Hybrid

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