Working Student - Software Development - Office of the CTO CX
Role details
Job location
Tech stack
Job description
You will work directly for the CTO of CX. The CTO and the team are responsible for Cross Architecture, Reference Business Architecture, and AI across the entire Customer Experience organization, which includes several thousand employees. This involves coordinating company-wide initiatives as well as representing the organization to customers. The goal is to develop the best AI Suite-fully integrated with SAP's backend processes-covering Commerce, Loyalty, Marketing, Sales, and Service Cloud.
Your set of application documents should contain a cover letter, a resume in table form, school leaving certificates, certificate of enrollment, current university transcript of records, copies of any academic degrees already earned, and if available, references from former employers (including internships). Please also describe your experience and skills in foreign languages and computer programs / programming languages.
This is a SAP global, strategic, paid working student position that provides students with opportunities to find purpose in their careers.
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Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
We win with inclusion SAP's culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.
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.
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.
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.
Requirements
- Student (f/m/d) at a university or a university of applied sciences
- Strong interest in software architecture, platform extensibility, and cloud-native applications
- Understanding of data science concepts and awareness of predictive AI technologies
- Experience with one or more modern programming languages (e.g., Java, JavaScript/TypeScript, Python, Go)
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) or container technologies is a plus
- Understanding of APIs, event driven architecture, and integration patterns is beneficial
- Curious, proactive, and comfortable working in exploratory environments
- Good communication skills and ability to clearly document technical work in English
- Other important skills/experience: Understanding of data, research and usage of GenAI tools, marketing and customer experience, Enterprise Architecture