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• Define and prioritize features in close collaboration with marketing stakeholders and ensure alignment with business requirements, customer needs and the product vision
• Own the team backlog and continuously prioritize requirements to maximize business value

• Analyze and structure complex business requirements within SAP CPQ, SAP SD and related sales process landscapes
• Consult and support internal stakeholders in optimizing, harmonizing and further developing Quote-to-Cash processes

• Implementation of cloud infrastructure for SaaS & PaaS usage according to regulatory requirements and industry best practices
• Shape and implement the hybrid Cloud platform architecture blueprint including identity management, observability and security for Azure and AWS landing zones

Ownership of research direction across one or more product domains, identifying critical knowledge gaps and translating them into research questions and study plans...

Key job responsibilitiesAs a Business Intelligence Engineer in Innovation and Design Engineering at Amazon, you will connect with engineers working at the forefront of designing new automation technologies. You will be working with massive-scale data and providing analytic support to product...

• Develop, maintain and optimize Python and Linux shell scripts for data extraction, transformation, and loading.
• Build automated pipelines and reusable code modules to support recurring reporting and analytics workloads.
• Ensure accuracy, completeness, and consistency of datasets.

• Develop, maintain and optimize Python and Linux shell scripts for data extraction, transformation, and loading.
• Build automated pipelines and reusable code modules to support recurring reporting and analytics workloads.
• Ensure accuracy, completeness, and consistency of datasets.

• You will work in our motivated and solution-oriented AI Feature Team using agentic development methods and with a high degree of personal responsibility.
• You will design, develop and deploy scalable AI-enabled features in our products that are used by more than 100’000 customers.

In this role, you design, co-create and implement enterprise-scale agentic AI systems together with business and IT teams, from solution architecture to production deployment....

• Designing and delivering engineering solutions for our businesses and customers
• Providing production engineering services that keep our technology safe, stable and reliable
• Analysing business data within Deutsche Bank to shape plans and delivery

Develop and operate platform services for LLM routing, model access, MCP tool registration, identity and permissions, rate limits, team budgets, tracing and auditability....

• Design, implement and maintain embedded software based on requirements and software architecture
• Document software designs and implementation decisions
• Develop and maintain software units and components in MISRA C, following IEC 62304 and applicable development processes

Analysis: you will support our partners in innovative projects and develop customized technological concepts that make our processes easier and more efficient....

• Combine your studies with hands-on experience as an intern or working student to support applied research and prototyping in medical soft-body simulation for six months or longer
• Implement and validate soft-tissue deformation models using real patient data to build and validate simulation pipelines.

Act as a key architectural driver for evolving legacy systems into next-generation platforms, working closely with cross-functional engineering teams and peer architects located in Zurich and Bioggio TI to ensure deep technical readiness....

• Develop robust, reusable software components in modern C++
• Design APIs, interfaces, and software architecture
• Build and maintain workflows (build, packaging, deployment) and improve CI/CD with GitHub Enterprise/Actions

• Supporting software project management (depending on experience, you may take on the role of Scrum Master)
• Supporting general project activities (e.g. organization of PI events)
• Supporting software systems engineering, e.g., by creating requirements and documentation, performing tests

• You develop advanced algorithms for the analysis, control, protection, and optimization of industrial grids and microgrids
• You validate concepts through simulation, software prototypes, and demonstrators

• Rapidly build demos, prototypes, proofs of concept, and MVPs that bring AI use cases to life for clients and account teams.
• Translate client problems into working technical concepts using models, agents, data, workflows, APIs, integrations, and user experience patterns.

• Leading and developing the Technical Process Consulting team (approx. 8–10 people) across the streams: Source‑to‑Pay, Record‑to‑Report, Plan‑to‑Produce, Plan‑to‑Maintenance, and Order‑to‑Cash
• Steering the transition from the QIAbase project into stable CoE processes and structures