Customer Engineering, AI/ML (English, Italian)

Google welcomes people with disabilities.

Minimum qualifications:

• Bachelors degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience.
  
• Candidates will typically have 6 years of experience as a technical sales engineer in a cloud computing environment.
  
• Experience engaging with, and presenting to, technical stakeholders and executive leaders.
  
• Ability to communicate in English and Italian fluently in order to communicate in this customer-facing sales role.

Preferred qualifications:

• Masters degree in Computer Science, or a related technical field.
  
• Experience providing technical presentations and demos.
  
• Experience with Developer Operations (DevOps) best practices (e.g., CI/CD).
  
• Ability to gather, analyze, debug, and fix problems that occur with live production systems.
  
• Ability to multitask, prioritize, and manage time efficiently and think strategically.
  
• Ability to be a team player, with excellent communication skills.
  

About the job

The Google Cloud Platform team helps customers transform and build whats next for their business — all with technology built in the cloud. Our products are developed 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, explain technical features, help customers design architectures, and problem-solve any potential roadblocks. You will also have the opportunity to help customers to leverage specialized Machine Learning (ML) hardware developed by Google (i.e., Tensor Processing Unit). You will work with customers and product development to shape the future of the platform.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. 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.

Responsibilities

• Work with the team to identify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
  
• Provide machine learning expertise to support relationships with customers, including product and solution briefings, proof-of-concept work, and partnering with product management to find solutions.
  
• Work with customers to demonstrate Google Cloud product integrations in customer/partner environments.
  
• Recommend integration strategies, enterprise architectures, platforms, and application infrastructure to implement a complete solution using best practices on Google Cloud.
  
• Travel to customer sites, conferences, and other related events as needed.
  

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Googles EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.