Machine Learning Engineering Manager

As the Machine Learning Engineering Manager for the Joule Work Platform Services team, you will lead efforts to build a scalable, enterprise-grade platform powering AI-driven work experiences across SAP's product portfolio. Your responsibilities span designing and developing platform services that enable Joule's core capabilities — including conversational AI, agentic workflows, tool integrations, and seamless connectivity to SAP business applications such as S/4HANA, SuccessFactors, and Supply Chain Management.

You will define a compelling platform vision and lead your teams to execute on it — from foundational service architecture through to reliable, production-grade delivery. As a platform engineering leader, you will represent your team's technical direction to internal and external stakeholders, including product leadership, partner teams, and customers.

You will collaborate closely with development leads, AI/ML engineers, product owners, product managers, and DevOps colleagues — both within your team and across adjacent units — to deliver platform capabilities that accelerate Joule adoption: from agent development and evaluation frameworks through to scalable deployment and continuous improvement in production.

About SAP Labs Singapore

SAP Labs Singapore is the 20th engineering hub in the SAP Labs Network — SAP's newest innovation hub driving product leadership, talent development, and ecosystem engagement. SAP Labs Singapore has the ambition to become SAP's AI Hub, leveraging deep competencies across its engineering teams to shape the next generation of enterprise AI experiences.

What you'll do

• Product Delivery — Define product plans and execute against committed delivery timelines; manage the day-to-day activities of the development team.

• Product Ownership — Own the complete software development lifecycle: design, lead implementation, and testing of new platform features, ensuring adoption by stakeholders in a fast-paced, agile environment.

• AI Platform Development — Lead the design and delivery of agentic AI services, evaluation frameworks, and LLM-integrated platform capabilities that form the foundation of the Joule Work experience.

• Product Support — Manage customer expectations through product support, ensuring high standards in incident processing, quality of interactions, and timely resolution within SLA commitments.

• Technical Leadership — Provide architectural and functional guidance to the team; maintain hands-on engagement to deliver highly available, scalable AI/ML platform services.

• People Management — Lead and develop your team through active engagement, staffing, talent management, career development, mentoring, and skills growth — building and sustaining a best-in-class AI engineering team.

• Location Leadership — Contribute to and drive location-level initiatives including cross-unit collaboration, training plan execution, hiring and internship management, and budget planning.