1146 English-speaking jobs in Munich

New Business Executive to accelerate growth in the DACH region by winning net-new enterprise clients. This role requires hunting skills, experience selling complex digital/AI solutions, and strong C-level relationship building.

Own the cloud platform on Microsoft Azure, focusing on scalability, reliability, and cost efficiency. Evolve CI/CD and self-service tools using IaC (Terraform) and automation.

Sales Engineer needed to be a technical resource for field sales, driving the technology evaluation stage. Responsibilities include product demonstrations, presenting at events, and responding to RFIs/RFPs. Requires 5+ years of pre-sales experience with network/cloud security products.

Senior Researcher to pioneer advances in foundation and world models on structured business data. Develop novel architectures, create benchmarks, and translate research into publications. Requires PhD and expertise in ML on structured data.

Develop and implement test programs on Teradyne J750 ATE for microcontroller devices. Focus on wafer and final testing, debugging, and optimizing test patterns. Requires Electrical Engineering background and experience in semiconductor test engineering.

Principal Forward Deployed Architect leads strategic AI engagements, defining enterprise AI architectures. Expertise required in LLMs, RAG, Knowledge Graphs, SAP BTP, and leading cross-functional teams.

Build data foundations for SAP's Knowledge Graphs by designing pipelines to ingest and transform structured/unstructured business data into RDF KGs. Map data to ontologies and develop SPARQL transformations.

Provide technical leadership for strategic AI engagements, defining enterprise AI architectures. Lead delivery teams across AI agents, RAG, Knowledge Graphs, and cloud platforms using SAP AI Core and BTP.

Drive technical advances in foundation and world models on structured business data. Define research agendas, publish findings, and collaborate with academic partners. PhD required in relevant fields.

Define AI engineering direction for strategic customer engagements. Act as the deepest technical authority on AI, architecting and scaling AI-native applications. Lead evaluation of emerging AI capabilities.

Lead complex data science and applied AI initiatives, translating business strategy into scalable analytical solutions within customer environments. Act as a technical authority, guiding stakeholders on advanced modeling and AI implementation.

Contribute to pioneering technical advances in foundation models on structured data and world models for business problems. Define benchmarks, architectures, and execute scientific experiments using structured business data.

Design, build, and deploy AI-native data and application solutions within customer environments. Act as chief technical authority, defining architecture and strategy for complex, business-critical applications. Requires 8+ years in AI native application or software engineering.

Contribute to pioneering technical advances in foundation models on structured data and world models for business problems. Define benchmarks, architectures, and execute scientific experiments using structured business data. PhD/Master's required with 5+ years in ML on Structured Data.

Tech Lead & Staff Scientist to define and prototype a composable, multi-modal architecture for foundation models focusing on semi-structured data like text or code. Requires strong expertise in LLMs and ML frameworks.

Develop Grounded AI for sales workflows, architect scalable AI components, and mine operational datasets. Requires strong engineering fundamentals, Python, LLM experience, and data analysis skills.

Develop software for rail-grade passenger information devices using C++ on Linux-based systems. Design solutions for various hardware platforms and contribute to global rail industry projects.

Senior IC role improving innovation performance and operational excellence within WITS. Apply DBS and Lean principles to execution, partnering with R&D and leadership to drive measurable impact.

Business Development Representative to generate revenue by building relationships and arranging meetings with mid-market and enterprise accounts. Requires 2+ years in B2B tech sales with strong communication skills.

Own the end-to-end roadmap for agentic products in AML and fraud detection. Shape product vision and strategy while managing commercial aspects like pricing. Requires 3-5 years as a PO/PM with financial industry experience.