Customer Engineer Data and AI Manufacturing
@ Google

Hamburg, Hamburg, Germany
€120,000
On Site
Full Time
Posted 22 days ago

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Job Details

About the Role

The Customer Engineer Data and AI Manufacturing role at Google Cloud partners with Germany's leading automotive and manufacturing companies to leverage data analytics and AI. Using cloud technologies, you will design machine learning architectures, develop data pipelines, and architect client solutions, helping to build smart factories and intelligent vehicles.

Minimum Qualifications

  • Bachelor's degree or equivalent experience.
  • 4 years in program management, client service, or management consulting.
  • Experience applying cloud technologies for manufacturing or automotive industries.
  • Experience with machine learning architectures or data pipelines.
  • Experience in technical sales or consulting including full technical discovery.

Preferred Qualifications

  • Master's degree in Computer Science or related field.
  • Experience in cloud computing, data analytics, Big Data and AI.
  • Exposure to cloud infrastructure, storage, and customer buying dynamics.
  • Proven track record in building and maintaining customer relationships.
  • Fluency in German and English.

Responsibilities

  • Build and nurture relationships with technical leaders and decision-makers.
  • Guide technical evaluations and build proof-of-concept solutions.
  • Lead technical presentations and workshops.
  • Collaborate with sales teams to design and present technical solutions.
  • Advocate for the customer by providing structured feedback to product teams.

Key Skills/Competency

  • Cloud
  • Data Analytics
  • AI
  • Manufacturing
  • Automotive
  • Machine Learning
  • Data Pipelines
  • Technical Sales
  • Consulting
  • Customer Engagement
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How to Get Hired at Google

🎯 Tips for Getting Hired

  • Research Google Cloud's culture: Study their mission and recent news.
  • Customize your resume: Highlight cloud and AI expertise.
  • Prepare case studies: Showcase technical sales and customer wins.
  • Practice interviews: Focus on technical and consulting scenarios.

📝 Interview Preparation Advice

Technical Preparation

Study Google Cloud architecture basics.
Review AI and machine learning fundamentals.
Practice building data pipelines.
Prepare technical demo presentations.

Behavioral Questions

Describe a time managing client expectations.
Explain resolving conflicts in team projects.
Share experience leading technical discussions.
Illustrate handling customer feedback constructively.

Frequently Asked Questions