Customer Engineer, AI/ML

Key Skills

Aartificial intelligence, Deep Learning, Machine learning techniques, MLOps tools, PyTorch, Sales, Scikit-learn, TensorFlow

Job Description

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 10 years of experience in sales engineering.
• Experience in virtualization or cloud native architectures in a customer-facing or support role, with experience engaging with C-level or executive business leaders.
• Experience with big data and machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.

Preferred qualifications:

• Experience in and understanding of data and information management, especially as it relates to big data trends and issues within businesses.
• Experience with building machine learning solutions, MLOps frameworks like kubeflow, and leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks, etc).
• Experience architecting and developing software or infrastructure for scalable, distributed systems.
• Experience in understanding a complex customer’s existing software workloads and the ability to define a technical migration roadmap to the cloud reflecting specific customer needs.

About the job

The Google Cloud Platform team helps customers transform 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. 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. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

As a Customer Engineer, you will work with Technical Sales teams as a machine learning subject matter expert to differentiate Google Cloud to our customers. 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. You will also help customers leverage specialized machine learning (ML) hardware developed by Google, called Tensor Processing Unit (TPU). The TPU is Google’s most advanced ML technology and in this role you will work together with customers and product development to shape the future of the 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 $139,000-$213,000 + 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 in-depth 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 directly 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.