Customer Engineer, Platform, Mobility, DACH (English, German)

As a Platform Customer Engineer, you are far more than a technical expert; you will be a proactive advisor and creative technologist who brings energy and strong commercial acumen to every engagement. In this role, you will self-initiate to serve as the crucial bridge between our customers’ engineering and business ambitions and the power of cloud technology. In this direct technical pre-sales role, you will help leading automotive manufacturers and suppliers modernize operations, from engineering workflows to the factory floor. By applying modern cloud data platforms, edge computing architectures, and enterprise agentic AI (including agent development, agentic orchestration, and automated workflows), you will design scalable, pragmatic solutions that address high-impact challenges such as smart manufacturing, automated technical diagnostics, quality inspection, and operational efficiency. Google Cloud accelerates every organization?s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google?s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. Germany: ?92000 - ?94000 (EUR) + 42.86% bonus target + equity + benefits Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) . Responsibilities Lead discovery sessions and architectural discussions with customer stakeholders to identify high-value opportunities, collaborating with specialized teams on complex engagements. Build and present compelling proofs-of-concept demonstrating the value of modern data pipelines and next-generation AI (including generative AI applications, intelligent agents, and automated workflows). Guide customers in architecting secure, scalable cloud and edge solutions that bridge enterprise systems and operational environments. Partner closely with Sales teams to qualify opportunities, formulate technical account strategies, and articulate quantifiable business value. Represent the customer to Google Cloud engineering and product teams to guide ongoing solution development and share real-world industry feedback. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google’sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle’s EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) . If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.

Customer Engineer, Platform, Mobility, DACH (English, German) Share Customer Engineer, Platform, Mobility, DACH (English, German) corporate_fare Google place Munich, Germany; Berlin, Germany; +3 more; +2 more Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. Share Customer Engineer, Platform, Mobility, DACH (English, German), Bachelor’s degree or equivalent practical experience. 4 years of experience with cloud native architecture in a customer-facing or support role. Experience with cloud engineering, on-premise engineering, virtualization, or containerization platforms. Experience with conversational agents and generative AI concepts (large language models, fine tuning, agentic systems, grounding, function calling, and orchestration), development workflows, and use cases. Experience in addressing customers from the automotive or manufacturing vertical. Ability to communicate in English and German fluently to support client relationship management in this region. Preferred qualifications: Master degree in Computer Science, Electrical Engineering, Computer Engineering, a related technical field, or equivalent practical experience. Experience applying cloud technologies and AI solutions to solve business challenges within the manufacturing or automotive industries. Practical experience designing and implementing architectures, data pipelines, or agentic AI workflows (e.g., custom agents, retrieval-augmented systems, multi-agent frameworks). Experience proactively identifying and developing business opportunities in a technical sales or consulting role. Ability to present complex techno-functional information in a clear and concise manner to both technical and non-technical audiences.