SAP iXp Intern - AI Product Management
Job details
- Employment
- Internship
- Level
- Internship
- Education
- Master's degree
- Posted
- Oct 31, 2026
- Last confirmed open
- Nov 6, 2026
- Job function
- Product › Product Management › Product Manager
About this role
Public source summary from intern-list.com / Jobright.
SAP is hiring an SAP iXp Intern in AI Product Management to contribute to AI products embedded in enterprise systems. The intern will identify product opportunities, help design autonomous workflows, author product and technical specifications, build prototypes, and collaborate with engineers through release and productization.
Responsibilities
Support identifying product opportunities through usage data, process mining, and user shadowing Contribute to designing autonomous workflows that combine agents, code, and ML Help author PRDs and technical specs — covering data sources, APIs, context engineering, and evaluation frameworks Build working prototypes to validate specs before full engineering investment Work closely with engineers through development, release, and productization
Qualifications: Enrollment or recent graduation from a Master's in Computer Science, Engineering, or a related field A strong interest in AI products — agents, ML, and optimization Comfort shipping code and building prototypes, ideally with AI coding tools such as Claude Code or Cursor Strong analytical skills and an ability to map processes across systems to surface gaps A customer-oriented mindset — thinking about the business users who depend on what you build People who communicate clearly, keep the customer in mind, and enjoy finding smart solutions to problems Candidates who are open to working with AI tools — including agentic AI — to automate everyday tasks, prototype ideas, and build confidence in AI-assisted ways of working from day one Familiarity with agent frameworks, guardrails, HITL, or evaluation methods
Benefits: Access to mentors, development programs, and peers through SAP Next Gen Hands-on experience with production-grade AI systems and the full product lifecycle Flexible working models