Sr Technical Product Manager - SAP Business AI

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 do

 

You will be part of the central SAP AI Development Unit and support our customers with the adoption of SAP Business AI solutions, helping them to improve their business results based on latest AI technology. In this role,  you work closely with our development teams and the customer to achieve activation and adoption of high value AI use cases and apply machine learning technology, in the daily work of our customers.

 

This position requires the ability to work and communicate in a dynamic, interdisciplinary and intercultural team in an agile and efficient way. As a thought leader in Machine Learning ,you appreciate the possibility for learning and personal development and therefore you keep track of the latest developments and share your knowledge actively with others. You will be working with and leading teams to successful projects in the context of Machine Learning Technology.
 

What you bring

 

• Degree in Computer Science, Information Technology, Mathematics, Physics or Data Science  
• 3 or more years relevant work experience
• Good overview of Machine Learning trends and technology, like Generative AI and LLM
• Experience in implementation of Machine Learning solutions and platforms 
• Knowledge and experience in Machine Learning Programming Frameworks, like TensorFlow or scikit 
• Programming skills like Java, Python, JavaScript, NodeJS, Jupyter Notebook, ABAP (good to have) 
• Database Knowledge 
• Web and Cloud Computing Knowledge 
• Ideally SAP applications and technologies (S/4 HANA and BTP) and/or SAP systems integrations  
• Customer engagement and implementation experience
• Fluency in English (written and spoken)
   

Meet the Team

 

You will work in an international team and open minded and innovative specialists working with our customers on machine learning as well as providing the right data architecture based on cloud computing. The team is focused to drive adoption and customer success based on SAP’s Business AI strategy and is focused on machine learning.

 

Our customer’s success is our main goal and obligation. Our competency is key to achieve this. 

 

Note: this opportunity is eligible only for employees based in the US.

 

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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.

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