FAQs
What locations are available for this position?
The available working locations for this position are Munich, Berlin, Frankfurt, and Hamburg in Germany.
What are the minimum qualifications required for this role?
The minimum qualifications include a Bachelor's degree or equivalent practical experience, 10 years of experience with cloud native architecture in a customer-facing or support role, and experience with Machine Learning model development and deployment.
Is fluency in German required for this position?
Yes, fluency in German is required to engage with technical stakeholders and support client relationship management.
What kind of experience is preferred for candidates applying to this role?
Preferred qualifications include a Master's degree in a technical field, experience in building machine learning solutions, data management related to big data trends, and experience in architecting software or infrastructure for distributed systems.
What will be my responsibilities as a Customer Engineer?
As a Customer Engineer, you will identify business opportunities, support technical relationships with customers, demonstrate Google Cloud products, recommend integration strategies, and travel to customer sites and events as needed.
Will I be working closely with sales teams?
Yes, you will partner with technical sales teams as a subject matter expert in AI/ML to differentiate Google Cloud to our customers.
Are there opportunities for travel within this role?
Yes, you may be required to travel to customer sites, conferences, and other related events as part of your job responsibilities.
What type of customers will I be working with?
You will work with a variety of customers including educational institutions, government agencies, and businesses that utilize Google Cloud products.
What technologies and frameworks should I be familiar with for this role?
You should be experienced with deep learning frameworks (e.g., PyTorch, TensorFlow, JAX), AI accelerators (e.g., TPUs, GPUs), and different machine learning model architectures (e.g., encoders, decoders, transformers).
Does Google promote equal employment opportunities?
Yes, Google is committed to being an equal opportunity workplace and embraces affirmative action, ensuring equal employment opportunity regardless of various personal characteristics and backgrounds.