WE HELP THE WORLD RUN BETTER

At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.

The Business AI Product Engineering team delivers scalable, re-usable, state-of-the-art AI technologies for SAP, both internally via reusable AI capabilities embedded into products directly and externally for developers and partners for products such as Joule, GenAI Hub, and Document Information Extraction Premium. The team delivers the AI and provides on-going production-level support and improvements to LoBs, creating a cycle of prioritization, execution, shipping/delivery, and collecting feedback/signals as quickly and efficiently as possible.
In line with our harmonized product operating model, we are seeking a highly skilled and experienced Product Feature Product Manager (f/m/d) to join our dynamic team focusing on Inbound Product Management. You will be defining the WHAT and the WHY as part of empowered product teams as single accountable for product success. Furthermore you will be responsible for gathering requirements from partner team and customer stakeholders, translating them into AI problems for the engineering and data science teams to solve, driving execution of the work and shipping, and analyzing metrics to identify areas of improvement.

The role:

• Collaborate with stakeholders to understand AI feature requests, evaluate the impact, and help inform product engineering investment decisions
• Create clarity by translating customer and stakeholder requirements into AI problems for engineering and data science teams to solve (define the what and the why of what needs to be done)
• Drive execution of the feature by identifying and mitigating risks, unblocking obstacles, and managing stakeholder relationships
• Drive shipping of the capability
• Monitor and propose new metrics that will help drive insights for current investments and shipped capabilities
• Drive best practices and processes for efficient and streamlined impact understanding