SAP iXp Intern - AI Product Manager for Service Management [Palo Alto, CA]
SAPAbout the role
We help the world run better
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
What You’ll Build
The SAP Internship Experience Program is SAP’s global, strategic, paid internship program that provides university students with opportunities to find purpose in their careers. This is more than an internship, it’s the foundation for a career built on connection, creativity, and impact.
Position Title: SAP iXp Intern - AI Product Manager for Service Management
Location: Palo Alto, CA
Anticipated Start Date: September 2026
Contract Duration: 6 months
Work Hours: Full-time internship; 40 hours per week
- 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
- Data-Driven Insights: Utilize Analytics to track the performance of new capabilities and advocate for data-driven and product-led methodologies to drive growth through customer insights and usage data.
- Support with defining, communicate and evangelize the evaluation lifecycle, it’s importance and the differences between evaluations, UATs and productive labelling.
- Stay ahead of advances in agentic AI, safety, compliance, and UX, while applying modern AI product thinking
- Support in partnering with engineering, data, and design teams to translate requirements into epics and acceptance criteria
- Define and track success metrics, leveraging user feedback and data for continuous improvement
What You’ll Bring
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.
Education: Marketing Technology, Data Science, Computer Science, or Digital Transformation
Eligibility: 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.
Where You Belong
We are harmonizing and optimizing SAP’s support & cloud operations processes on user-centric, innovative, performant platforms, focused on delivering a simple, stable, effective, desirable and AI infused internal (for SAP employees) and external (for SAP customers and partners) service management solutions.
As a Product Management Intern within the Service Management Processes and Solutions team, you will be at the forefront of the Agentic AI revolution. You will support the "Build & Run" operations for SAP’s premier agentic compound solution for customer support and cloud operations. You will support our teams as we transform our service management processes to AI-driven, autonomous experiences.
This role is designed for a high-potential individual who wants to master the intersection of Enterprise Technology, SAFe Agile delivery, and Generative AI integration.
Be part of SAP Next Gen, a global community for students, universities, schools and educational partners, who are passionate about innovation and technology.
- Culture of Collaboration: Partner with experienced SAP colleagues and expert mentors who will support your growth. Grow professionally through per
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