Engineering Manager (f/m/d) (AI & Mobile Products) - T4PM

Stellenbeschreibung:

Overview

At SAP, we keep it simple: you bring your best to us, and we’ll bring out the best in you. We touch over 20 industries and 80% of global commerce and need your unique talents to shape what’s next. As part of an empowered lean team, we are seeking an Engineering Manager with a strong product builder mindset to build and scale a design‑led AI product from the ground up. This hands‑on leadership role demands speed, ownership, and pragmatic decision‑making. You will own architecture, execution, hiring, and engineering culture while deeply involved in building and shipping the core AI platform. The role involves leading high‑performing teams to develop intelligent, scalable, cloud‑native platforms and AI‑powered mobile applications and guiding end‑to‑end architecture across mobile, backend, and AI/ML systems.

Success is measured by faster product delivery, resilient platforms, responsible AI adoption, and tangible improvements in customer experience and business outcomes.

What you will do

  • Define the technical vision for mobile and AI integration across iOS, Android, and backend services.
  • Lead development of AI features including voice assistants, recommendations, generative AI experiences, and edge AI capabilities.
  • Own the engineering roadmap, sprint planning, execution, and release cycles, collaborating with product, founders, and sales.
  • Drive architecture across SAP Fiori (SAPUI5, Fiori Elements) , ABAP/ABAP OO on S/4HANA , SAP MDK , and modern mobile frameworks using native (Swift, Kotlin) and cross‑platform (React Native, Flutter) technologies.
  • Promote UI/UX excellence through close collaboration with design and product teams.
  • Guide architectural decisions for mobile frameworks, AI model integration, cloud services, APIs, and distributed systems, including microservices and event‑driven platforms.
  • Ensure applications meet enterprise standards for performance, security, scalability, accessibility, privacy, and data governance.
  • Define strategy for on‑device vs cloud AI inference , optimizing latency and cost.
  • Implement responsible AI practices covering fairness, explainability, privacy, and user trust.
  • Establish strong MLOps, CI/CD, monitoring, analytics, A/B testing , and cloud‑first practices using containers, Kubernetes, serverless, and managed services .

What you bring

  • 8‑14+ years of engineering experience with 3+ years in people management and an ownership mindset.
  • Strong background in mobile development (iOS, Android, or cross‑platform) and cloud‑native architectures including containers, Kubernetes, and microservices.
  • Proficiency in Swift, Kotlin, Java, or Python , with ability to contribute to coding and architectural discussions.
  • Solid understanding and hands‑on exposure to machine learning systems , AI frameworks, model lifecycle, and deployment.
  • Own technical direction across SAP Fiori, ABAP/ABAP OO on S/4HANA, SAP MDK , and mobile solutions.
  • Experience with CI/CD, MLOps, system design, APIs, and data architecture , along with strong communication and stakeholder management skills.
  • Proven ability to hire, scale teams and systems, establish engineering best practices, execute in ambiguous early‑stage and high‑growth environments, support customer pilots, and balance velocity with long‑term technical health.

Meet your team

You will join the Consumer Industries team focused on building solutions for retail companies to plan business and supply chain. Working with standard lines of business, the mission is to provide best‑in‑class planning and supply chain functionality with a clear retail industry focus. SAP S/4HANA Retail offers industrialized, innovative AI cloud services that set the market standard for retail. You will collaborate with cross‑functional teams to integrate AI into SAP applications such as S/4HANA, retail industry solutions, and SAP Build apps.

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you need accommodation or special assistance, please email Recruiting Operations Team: .

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Stelleninformationen

  • Veröffentlichungsdatum:

    24 Apr 2026
  • Standort:

    Stuttgart
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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