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Corporate Customer Engineer, Machine Learning, Google Cloud

Google

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Software Engineering, Customer Service

New York, NY, USA

Posted on Tuesday, May 23, 2023

Qualifications

Minimum qualifications:

Bachelor's degree or equivalent practical experience.
5 years of experience as a sales engineer or technical consultant in a cloud computing environment or a customer-facing role.
Experience in virtualization or cloud native architectures in a customer-facing or support role.
Experience in big data, machine learning, and numerical programming frameworks (e.g., TensorFlow, Python, MATLAB).

Preferred qualifications:

Master's degree in Computer Science or a related technical field.
Experience in data and information management as it relates to big data trends and issues within businesses.
Experience building machine learning solutions and leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks, etc.).
Experience in 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.

About the job

As a Customer Engineer, you will work directly with Technical Sales teams as a machine learning subject matter expert to differentiate Google Cloud to our customers.

In this role, 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. Additionally, you will have the opportunity to help customers to leverage specialized Machine Learning (ML) hardware developed by Google (e.g., Tensor Processing Unit). You will work closely with customers and product development to shape the Tensor Processing Unit (TPU) 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.

The US base salary range for this full-time position is $118,000-$177,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

Work with the team to identify and qualify business opportunities, understand key customer technical objections and develop the strategy to resolve technical blockers.
Provide 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 required to successfully implement a complete solution using best practices on Google Cloud.
Travel to customer sites, conferences, and other related events as required.

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