Job Opportunity: Machine Learning Customer Engineer, Google Cloud

Joining Google Cloud is a remarkable opportunity to help businesses globally leverage cutting-edge cloud computing technologies. As a Machine Learning Customer Engineer, you'll collaborate with leading organizations to enhance their productivity, mobility, and collaboration using Google Cloud solutions. You will work closely with the sales team to address key technical challenges and drive transformation through AI/ML solutions.

Minimum Qualifications

• Bachelor's degree or equivalent practical experience.
• 10 years of experience as a sales engineer or technical consultant in cloud computing, or in a customer-facing role.
• Experience with virtualization or cloud-native architectures in customer-facing or support roles.
• Experience with 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 building machine learning solutions and utilizing specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks).
• Experience designing and developing software or infrastructure for scalable, distributed systems.
• Experience in data and information management related to Big Data trends and business issues.
• Ability to learn, understand, and work with new emerging technologies, methodologies, and solutions in the cloud/IT space.

About the Role

As a Senior Customer Engineer, your role will involve supporting the Google Cloud Sales team by driving goals, mission, and strategy around Google Cloud AI/ML solutions. You will actively participate in customer meetings to support business transformation, success patterns, and establish a foundational architectural blueprint for migration to Google Cloud. Your responsibilities will include:

Responsibilities

• Identifying and qualifying business opportunities, understanding technical objections, and formulating strategies to resolve technical blockers.
• Providing machine learning knowledge to support technical relationships with Google’s customers, including product and solution briefings and proof-of-concept work.
• Partnering with product management to prioritize solutions impacting customer adoption of Google Cloud.
• Collaborating with customers to demonstrate and prototype Google Cloud product integrations in customer/partner environments.
• Recommending integration strategies, enterprise architectures, platforms, and application infrastructure necessary to implement a comprehensive solution using best practices on Google Cloud.

Compensation

The US base salary range for this full-time position is $142,000-$214,000, plus bonus, equity, and benefits. Salary ranges vary by role, level, and location, and additional factors include job-related skills, experience, and relevant education or training. More details on the specific salary range for your preferred location will be shared during the hiring process. Note that compensation details listed in US roles reflect base salary only. Interested candidates can .

Company Overview: Google Cloud

Google Cloud accelerates every organization’s ability to digitally transform their business and industry. We offer enterprise-grade solutions supported by Google’s cutting-edge technology, helping developers build sustainably and securely. Trusted by customers in more than 200 countries and territories, Google Cloud enables growth and addresses critical business challenges with innovation and reliability.

Take the next step in your career and join a team dedicated to pushing the limits of cloud computing and AI/ML solutions. Apply today to become a part of Google Cloud’s transformative journey.