Customer Engineer, AI/ML, Generative AI, Google Cloud

Minimum qualifications:

• Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
• 3 years of experience building or leveraging machine learning solutions and developing applications utilizing AI frameworks and methods.
• 3 years of experience as a technical sales engineer in a cloud computing environment or customer-facing role.

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).
• Experience architecting and developing software or infrastructure for scalable distributed systems.
• Ability to learn, understand, and work with new emerging technologies, methodologies, and solutions in the Cloud/IT technology space.

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.

In this role, 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 Google Cloud, explain technical features, help customers design architectures, and problem-solve any potential roadblocks. You will identify and assess customer Artificial Intelligence (AI), machine Learning (ML), or Generative Artificial Intelligence (GenAI) opportunities to uncover cloud solutions to recommend, plan, and address core market opportunities and use cases.

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.

Additional Information:

The US base salary range for this full-time position is $97,000-$142,000 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.
• Support the technical relationship with Google customers, including product and solution briefings, proof-of-concept work, and partner 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 complete solutions using best practices on Google Cloud.
• Travel to customer sites, conferences, and other related events as needed.