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Customer Engineer, AI, Infrastructure Modernization, Google Cloud (Japanese, English)
Job updated about 5 hours ago
The employer was active about 20 hours ago
Job Description
Google welcomes people with disabilities.
As a Customer Engineer, you will partner with technical Sales teams as a subject-matter-expert in Artificial Intelligence and Infrastructure Modernization to differentiate Google Cloud to our customers. You will help the customers and partners understand the power of Google Cloud, develop cloud solutions and architectures to solve their business issues, engage in proof-of-concepts, and troubleshoot any technical questions and roadblocks. You will use the expertise and presentation skills to engage with customers to understand their business and technical requirements, and present solutions on Google Cloud. You will use excellent technical, communication and organizational skills. You will partner with internal engineering stakeholders to improve products and build solutions, improving results when in production and identifying ways to multiply the impact of the team as a whole. You will be a part of a team of Googlers working in an environment of respect where we promote equal opportunities to succeed.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.Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 10 years of experience with cloud native architecture in a customer-facing or support role.
- Experience with frameworks for deep learning (e.g., PyTorch, Tensorflow, Jax, Ray, etc.), AI accelerators (e.g., TPUs, GPUs), model architectures (e.g., encoders, decoders, transformers), and using machine learning APIs.
- Experience with Machine Learning (ML) model development and deployment.
- Ability to communicate in Japanese and English fluently to engage with local and internal stakeholders.
Preferred qualifications:
- Master's degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience.
- Experience in building machine learning solutions and leveraging machine learning architectures (e.g., deep learning, LSTM, convolutional networks).
- Experience in architecting and developing software or infrastructure for distributed systems.
- Experience in data and information management.
- Ability to learn, understand, and work with technologies, methodologies, and solutions in the cloud/IT technology space.
About the job
When leading companies choose Google 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 Google 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 Googlers 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 Google Cloud products.As a Customer Engineer, you will partner with technical Sales teams as a subject-matter-expert in Artificial Intelligence and Infrastructure Modernization to differentiate Google Cloud to our customers. You will help the customers and partners understand the power of Google Cloud, develop cloud solutions and architectures to solve their business issues, engage in proof-of-concepts, and troubleshoot any technical questions and roadblocks. You will use the expertise and presentation skills to engage with customers to understand their business and technical requirements, and present solutions on Google Cloud. You will use excellent technical, communication and organizational skills. You will partner with internal engineering stakeholders to improve products and build solutions, improving results when in production and identifying ways to multiply the impact of the team as a whole. You will be a part of a team of Googlers working in an environment of respect where we promote equal opportunities to succeed.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.
- Share AI/ML expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
- Work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments.
- Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to implement a complete solution on Google Cloud.
- Travel to customer sites, conferences, and other related events as needed, acting as a public advocate for Google Cloud.
Negotiable
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Google
Information Services
> 5000 people
About us
Google’s mission is to organize the world‘s information and make it universally accessible and useful.
Since our founding in 1998, Google has grown by leaps and bounds. From offering search in a single language we now offer dozens of products and services—including various forms of advertising and web applications for all kinds of tasks—in scores of languages. And starting from two computer science students in a university dorm room, we now have thousands of employees and offices around the world. A lot has changed since the first Google search engine appeared. But some things haven’t changed: our dedication to our users and our belief in the possibilities of the Internet itself.