Website Google
When our millions of advertisers and publishers are happy, so are we! Our team of entrepreneurial, enthusiastic and client-focused team members are the "human face" of Google, helping entrepreneurs both individually and broadly build their online presence and grow their businesses. We are … read morededicated to growing the unique needs of small- and medium-sized businesses. Our teams of strategists, analysts, advisers and support specialists collaborate closely to spot and analyze customer needs and trends. Together, we create and implement business plans broadly for every type of small business. Large Customer Sales: Our Large Customer Sales teams partner closely with many of the world’s biggest advertisers and agencies to develop digital solutions that build strong businesses and brands. We enjoy a bird’s eye view on the massive transformation occurring as advertising shifts to mobile and online platforms. We're uniquely situated to help shape how companies grow their businesses in the digital age. We advise clients on Google's broad range of products across search, video and mobile to help them connect instantly and seamlessly with their audiences. Google Cloud: Google Cloud helps millions of employees and organizations empower their employees, serve their customers, 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. And 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. Mountain View, California, United States
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 model development and deployment.
Experience engaging with, and presenting to, technical stakeholders and executive leaders.
Preferred qualifications:
Master’s degree in Computer Science, Engineering, Mathematics, a technical field, or equivalent practical experience.
Experience in building machine learning solutions and leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks).
Experience in architecting and developing software or infrastructure for scalable, distributed systems.
Experience in data and information management as it relates to big data trends and issues within businesses.
Ability to learn quickly, understand, and work with new emerging 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 prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business challenges, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks. You will use your expertise and presentation skills to engage with customers to understand their business and technical requirements, and persuasively present practical and useful 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, optimizing for results when in production and identifying innovative ways to multiply your impact and the impact of the team as a whole.
You will be a part of a team of fellow 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 in-depth 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 successfully implement a complete solution on Google Cloud.
Travel to customer sites, conferences, and other related events as required, acting as a public advocate for Google Cloud.
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