About the job
When leading companies choose our company Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use our company Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales our companyrs by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to our company Cloud products.
As a Customer Engineer, you will work with technical business teams as a machine learning subject matter expert to differentiate our company Cloud to our customers. You will help prospective customers and partners understand the power of our company Cloud, explain technical features, help customers design architectures, and problem-solve any roadblocks. You will also have the opportunity to help customers to leverage specialized Machine Learning (ML) hardware developed by our company, called Tensor Processing Unit (TPU). You will work with customers and product development to shape the future of the platform.
our company Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage our companys cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to our company Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
Work with the team to identify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
Provide Machine Learning (ML) expertise to support relationships with customers, including product and solution briefings, proof-of-concept work, and partnering with product management to find solutions.
Work with customers to demonstrate our company Cloud product integrations in customer/partner environments.
Recommend integration strategies, enterprise architectures, platforms, and application infrastructure to implement a complete solution using best practices on our company Cloud.
Travel to customer sites, conferences, and other related events as needed.
When leading companies choose our company Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use our company Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales our companyrs by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to our company Cloud products.
As a Customer Engineer, you will work with technical business teams as a machine learning subject matter expert to differentiate our company Cloud to our customers. You will help prospective customers and partners understand the power of our company Cloud, explain technical features, help customers design architectures, and problem-solve any roadblocks. You will also have the opportunity to help customers to leverage specialized Machine Learning (ML) hardware developed by our company, called Tensor Processing Unit (TPU). You will work with customers and product development to shape the future of the platform.
our company Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage our companys cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to our company Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
Work with the team to identify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
Provide Machine Learning (ML) expertise to support relationships with customers, including product and solution briefings, proof-of-concept work, and partnering with product management to find solutions.
Work with customers to demonstrate our company Cloud product integrations in customer/partner environments.
Recommend integration strategies, enterprise architectures, platforms, and application infrastructure to implement a complete solution using best practices on our company Cloud.
Travel to customer sites, conferences, and other related events as needed.
Requirements:
Minimum qualifications:
Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience.
6 years of experience as a technical business engineer in a cloud computing environment.
Preferred qualifications:
Master's degree in Computer Science, or a related technical field.
Experience with Developer Operations (DevOps) best practices (e.g., Continuous Integration/Continuous Deployment (CI/CD)).
Experience in presenting technical presentations and demos.
Ability to gather, analyze, debug, and fix problems that occur with production systems.
Ability to multitask, prioritize, and manage time and think.
Ability to work in a team, with excellent communication skills.
Minimum qualifications:
Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience.
6 years of experience as a technical business engineer in a cloud computing environment.
Preferred qualifications:
Master's degree in Computer Science, or a related technical field.
Experience with Developer Operations (DevOps) best practices (e.g., Continuous Integration/Continuous Deployment (CI/CD)).
Experience in presenting technical presentations and demos.
Ability to gather, analyze, debug, and fix problems that occur with production systems.
Ability to multitask, prioritize, and manage time and think.
Ability to work in a team, with excellent communication skills.
This position is open to all candidates.
