Customer Engineer, Google Cloud, Artificial Intelligence, Machine Learning
Google
Santiago, Chile
hace 2 días

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 engineered 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, explaining technical features, helping customers design architectures, and problem-solving any potential roadblocks.

You will also have the opportunity to help customers to leverage specialized machine learning (ML) hardware developed by Google, called Tensor Processing Unit (TPU).

In this role, you will work with customers and product development to shape the future of the platform.

Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise.

We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology all on the cleanest cloud in the industry.

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.

Minimum qualifications :

  • Bachelor's degree in Computer Science, Electrical Engineering, or equivalent practical experience
  • 5 years of experience as a technical sales engineer in a cloud computing environment or equivalent experience in a customer-facing role
  • 3 years of experience leveraging Data Analytics, Statistics, Mathematics, Computer Science, Machine Learning, or a similar quantitative field
  • Preferred qualifications :

  • Master's degree in Computer Science or other technical field
  • Experience in and understanding of data and information management as it relates to big data trends and issues within businesses
  • Experience with building machine learning solutions and leveraging specific machine learning architectures (deep learning, long short-term memory (LSTM), convolutional networks, etc.)
  • Experience architecting and developing software or infrastructure for scalable, distributed systems
  • Ability to quickly learn, understand, and work with new emerging technologies, methodologies, and solutions in the cloud / IT technology space
  • 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 needed to successfully implement a complete solution using best practices on Google Cloud.
  • Travel to customer sites, conferences, and other related events as needed.
  • Bachelor's degree in Computer Science, Electrical Engineering, or equivalent practical experience
  • 5 years of experience as a technical sales engineer in a cloud computing environment or equivalent experience in a customer-facing role
  • 3 years of experience leveraging Data Analytics, Statistics, Mathematics, Computer Science, Machine Learning, or a similar quantitative field
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