Customer Engineer, AI, Google Cloud
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 4 years of experience with big data and machine learning frameworks such as TensorFlow, JAX, PyTorch, or scikit-learn.
- Experience with building machine learning solutions, machine learning operation frameworks like Kubeflow, and leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks, etc.).
- Experience delivering technical presentations.
Preferred qualifications:
- Master's degree in Computer Science, or a related technical field.
- Experience designing infrastructure for specialist AI use cases and full-stack development using a front-end language (e.g., JavaScript, React, Angular) and Python development.
- Experience training and fine tuning large models (i.e., image, language, segmentation, recommendation, genomics) with accelerators.
- Experience designing/architecting infrastructure farms for specialist AI use cases and running MLPerf benchmarks.
- Experience with distributed training and optimizing performance versus costs.
- Ability to communicate English and Mandarin Chinese fluently to engage with Chinese speaking or English speaking customers.
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 be a part of the customer developing organization for Google Cloud. You will lead cross-functional teams to help customers design, plan, implement, and govern enterprise cloud strategies.
In this role, you will be a hybrid technical and business advisor. You will direct the conversation and guide the execution of the Business team by combining both technical strategy and business insight. You will closely partner with Value Engineering in order to articulate the total value of each technical solution and the overall business partnership with Google Cloud. You will travel to customer sites, conferences, and other related events as needed.
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
- Build partner specific, go-to-market solutions to reduce business cycles and drive partner business as measured through pipeline and business growth.
- Own the technical relationship with partners, empowering them to drive a successful pilot or proof of concept, support partners drive toward customer acceptance of the technical proposal, leading to an agreement, and work with partners during the migration phase to assure they have all the tools necessary to deliver a successful deployment.
- Build trusted advisory relationships and make recommendations on integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution providing best practice advice to customers to optimize Google Cloud effectiveness.
- Identify customer priorities, technical objections, and design strategies encompassing the entire Google ecosystem to deliver business value and resolve blockers.
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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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