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

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.
• 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.

About the job

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 about benefits at Google.

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.

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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 also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

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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.

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Source: Statistisches Bundesamt (Destatis), table; dl-de/by-2-0; StarIn's calculation

Posted Nov 01, 2026

Posted Nov 01, 2026