Customer Engineer, Data and AI, Manufacturing

Customer Engineer, Data and AI, Manufacturing

Customer Engineer, Data and AI, Manufacturing

Customer Engineer, Data and AI, Manufacturing

Google

Internet, Onlinemedien

München

  • Art der Anstellung: Vollzeit
  • Vor Ort
  • Zu den Ersten gehören

Customer Engineer, Data and AI, Manufacturing

Über diesen Job

Customer Engineer, Data and AI, Manufacturing

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corporate_fare Google place Munich, Germany

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
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Minimum qualifications:

  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience.
  • 4 years of experience as a technical business engineer in a cloud computing environment.
  • Experience in the manufacturing industry.
  • Experience on AI Platform and Data Analytics.

Preferred qualifications:

  • Master's degree in Computer Science or related technical field
  • Experience in data and information management as it relates to Data and AI applications within Manufacturing.
  • Knowledge of Big Data, PaaS, SaaS, IaaS, public cloud, and related industry and technical concepts.

About the job

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.

Responsibilities

  • Inspire customers to solve difficult problems with innovative solutions leveraging an excellent set of technical competences.
  • Manage the technical relationship with Google’s customers (e.g., managing product and solution briefings, proof-of-concept work, and the coordination of additional technical resources).
  • Work with customers to demonstrate and prototype Google Cloud product integrations in customer and partner environments.
  • Prepare and deliver business value highlighting the Google Cloud Platform value proposition, using techniques that include whiteboard and slide presentations, product demonstrations, white papers, and RfI/RfP response documents.
  • Focus on Siemens as a focus account, potentially expanding into Manufacturing customers across Germany.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate 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 also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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.

Unternehmens-Details

company logo

Google

Internet, Onlinemedien

Mountain View, Deutschland

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