Minimum qualifications:

• Experience serving in the capacity of a technical sales engineer in a cloud computing environment or equivalent experience in a customer facing role.
• Experience building machine learning solutions and leveraging specific machine learning architectures.
• Experience presenting technical pitches to executive audiences.
• Experience developing applications and solutions utilizing AI frameworks and methods.

Preferred qualifications:

• Experience with contact center technologies and platforms (e.g. CCAI) and building conversational applications.
• Experience with Document and Image AI.
• Experience with Build and Use AI (ML templates, deep learning, custom ML).
• Ability to learn, understand and work quickly with new emerging technologies, methodologies and solutions.

About the job

The Google Cloud Platform team helps customers transform and evolve their business through the use of Google’s global network, web-scale data centers and software infrastructure. As part of an entrepreneurial team in this rapidly growing business, you will help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

As an Enterprise Artificial Intelligence/Machine Learning Customer Engineer you will contribute experience and thought leadership to support Google Cloud Sales teams and drive vision, mission, and strategy around cloud AI/ML solutions that aid in a customer’s migration and transformation to Google Cloud. You'll meet with customers to facilitate business transformation, success patterns, and establish an architectural blueprint as the foundation for migration to Google Cloud. You will travel to customer sites and events up to 40% of time.

In this role, you'll identify and assess customer AI/ML opportunities to uncover cloud solutions to recommend, plan for, and address core market opportunities and use cases. Finally, you will enable customers, partners and field teams on the best way to position AI/ML solutions on Google Cloud, explain technical features, and problem-solve potential roadblocks.

Google Cloud provides organizations with leading infrastructure, platform capabilities and industry solutions. We deliver enterprise-grade cloud solutions that leverage Google’s cutting-edge technology to help companies operate more efficiently and adapt to changing needs, giving customers a foundation for the future. Customers in more than 150 countries turn to Google Cloud as their trusted partner to solve their most critical business problems.

Responsibilities

• Help prospective customers and partners understand the power of Google Cloud, explain technical features, help customers design architectures, and problem-solve any potential roadblocks.
• Influence the strategy for Google Cloud AI/ML by advocating for enterprise customer requirement and needs.
• Demonstrate the business value of Google Cloud AI/ML solutions that meet, enhance and innovate for our enterprise customers.