Head of AI Engineering, Cloud AI, Google Cloud

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 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 Engineering (CE) Manager, you will lead and deploy a team of subject matter experts responsible for working with customers to provide trusted technical and solution advice to accelerate workload migration and remove technical impediments.

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.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 10 years of experience with cloud native architecture in a customer-facing or support role.
• Experience in people management, team lead, mentorship, or coaching.
• Ability to communicate in English and Japanese fluently in order to communicate in Japanese with local stakeholders and in English with internal stakeholders.

Preferred qualifications:

• Experience with systems integration implementation in systems integrator.
  
• Experience in managing a team through business processes, operations and career development including account mapping, quota setting, quarterly/annual performance management, and managing information.
• Experience as a pre-business manager or a people manager in a technical customer-facing role within a professional services or business engineering team.
• Experience with machine learning, Search, and API integration related products.
• Experience collaborating with the product team to incubate rapid-growing products, fix the issue with quality, and prioritize technical blocker for field selling.