About SAP Labs Singapore SAP Labs Singapore is the 20th engineering hub in the SAP Labs Network and is the newest innovation hub at SAP that drives product leadership, fosters the best talent, and aims to boost ecosystem and community engagement with a variety of initiatives. SAP Labs Singapore has the ambition to expand significantly and become the Embedded Artificial Hub for SAP, leveraging on core competencies in the current teams. Your future team Artificial Intelligence team as part of SAP Labs Singapore has experienced professionals taking on challenges posed by the SAP customers. Based in Singapore, you will have the opportunity to work on breakthrough projects addressing real-world problems, challenging norms with some of the SAP’s key customers. As part of the global product engineering team, you will participate in rich and engaging conversations with experts around the globe. SAP Labs Singapore provides an open, modern working environment and the opportunity to become part of the global SAP engineering community. Purpose and objectives As a Development Manager for Artificial Intelligence team, you will lead teams to build artificial intelligence assets (services, components, content). You will create compelling product visions and lead teams to execute on this vision. As a leader you will represent the work of your teams towards internal and external stakeholders. You will work together with the development leads, data scientists, product owners, product managers and development operations colleagues in your team and other teams to create value for our customers from the first idea to a successful market entry, adoption and beyond. Expectations and tasks Your tasks include: · Product Delivery - Define product plans and execute against a committed delivery timeline; Manage the day-to-day activities of the development team · Product Ownership - Ownership of the complete software development lifecycle, designing, leading implementation, and testing of new features, ensure adoption by stakeholders within a fast-paced, agile environment · Product Support - Manage customer expectations via product support ensuring high standards in incident processing, quality of interactions and fixes that are delivered · Development Expertise - Provide functional, architectural and data science guidance to the team · Technical Hands-On - Maintain a hands-on approach to deliver highly available and scalable Artificial Intelligence Assets · People Management - Management of people including active engagement, staffing, talent management, career aspirations, mentoring and enhancing skills of team members to maintain a best-in-class Artificial Intelligence development team
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