SAP
This role involves building the semantic infrastructure and context engine that powers SAP's AI agents by transforming raw business data into a knowledge layer. The position focuses on developing AI solutions using enterprise data, knowledge graphs, and modern cloud platforms to ensure accuracy and reliability in production. The role requires collaboration across product, engineering, and business teams to translate ambiguous challenges into concrete AI solutions.
Headquarters
Walldorf, Baden-Württemberg, Germany
Company Size
10001+ employees
Founded
1972
SAP is a global enterprise software and technology company that helps organizations run core business processes — finance, supply chain, HR, customer experience and analytics — via integrated cloud and on‑premise applications. Its flagship offerings include SAP S/4HANA, the SAP Business Technology Platform, and cloud solutions for ERP, CRM, procurement, workforce management and analytics, along with industry-specific apps and a large partner ecosystem. SAP emphasizes enabling intelligent, sustainable enterprises by combining data management, AI, automation and sustainability services to improve decision‑making and operational efficiency. Companies choose SAP for its breadth of functionality, global scale, industry depth and compliance capabilities.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for SAP.
SAP didn’t post a salary, so this is our estimate from similar listings.
11% below the average for this role