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Updated 2026-06-10 09:00 UTC·© 2025–2026 RoleSuite
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Customer Engineering Manager, Artificial Intelligence, Google Cloud

Google · Sydney NSW, Australia

When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

As a Practice Customer Engineering (CE) Manager, you lead and deploy a team of subject matter experts responsible for working alongside the customers to provide trusted technical and solution advice to accelerate workload migration and remove technical blockers. You will foster a culture of technical excellence and understand the mechanics of architecture, delivery, and consumption within your specialized domain and Google Cloud’s products and solutions.

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.
  • Leadership experience (e.g., people management, team lead, mentorship, coaching).
  • Experience with technical conversations, demos, prototyping, or workshops with customers.
  • Experience driving the adoption of specialized workloads (e.g., Cloud AI, Data Analytics) with technical decision makers.

Preferred qualifications:

  • Experience influencing cross-functional teams (e.g., Product Management, Engineering, Sales, Marketing, Partner), customers, and partners to impact business goals, customer experience, and customer expansion.
  • Experience as a pre-sales manager or technical customer-facing people manager within a professional services or sales engineering team.
  • Experience tailoring and delivering compelling messages by audience, asking strategic questions, and leading conversations that accelerate value realization and business opportunity.
  • Thought leader in AI and adjacent practice areas, specialized in technical sales and strategizing around holistic customer and industry solutions.
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