Customer Engineer, Data Analytics (Korean)
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Minimum qualifications:
- Bachelor's degree in Computer Science or Electrical Engineering, or equivalent practical experience.
- 6 years of experience in technical sales or professional consulting in the fields of cloud computing, Big Data, etc.
- Experience with machine learning frameworks (e.g., Tensorflow, Theano or Caffe), as well as numerical programming frameworks (e.g., Python or MATLAB).
- Ability to communicate in Korean fluently to interact in this customer-facing role.
Preferred qualifications:
- Master's degree in Computer Science, or a related technical field.
- Experience architecting and developing software or infrastructure for scalable, distributed systems.
- Experience in data engineering, database development, integration, and tooling for data pipelines.
- Knowledge of open source data management, and database ecosystem best practices.
- Knowledge of machine learning concepts such as feature engineering, model training, inference, hyper parameter tuning.
About the job
The Google Cloud Platform team helps customers transform and build what's next for their business all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers, developers, small and large businesses, educational institutions and government agencies see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
As a Customer Engineer, you will work with technical sales teams as a machine learning subject matter expert to differentiate Google Cloud to our customers. You will help prospective customers and partners understand the power of Google Cloud, describing technical features, helping customers design architectures, and problem-solving any potential roadblocks.
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
- Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
- Provide in-depth machine learning expertise to support the technical relationship with Google’s customers, including product and solution briefings, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
- Work with customers to demonstrate and prototype Google Cloud product integrations in customer/partner environments.
- Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to complete solution using best practices on Google Cloud.
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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.
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