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 pre-sales or field engineering at an enterprise technology company, or similar customer-facing experience.
• Ability to travel up to 25% to customer sites.

Preferred qualifications:

• Technical sales experience or professional consulting experience in the fields of cloud computing, data analytics, information lifecycle management, and Big Data.
• People management experience leading technical sales or consulting teams for Cloud Computing or Data Analytics products and platforms.
• Experience influencing cross-functional teams (e.g., Product Management, Engineering, Sales), customers, and partners to impact business goals, customer experience, and customer expansion.
• Thought leader in Data Analytics and adjacent practice areas, specialized in technical sales and strategies around holistic customer and industry solutions.

About the job

As a Customer Engineering (CE) Manager, you lead and deploy a team of subject matter experts responsible for working alongside our customers to provide trusted technical and solution advice to accelerate workload migration and remove technical blockers. You will foster a culture of technical ownership and understand the mechanics of architecture, delivery, and consumption across the Google Cloud portfolio.

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

• Lead a team of Data Analytics technical experts in a matrixed organization. Focus on talent strategy, assessing go-to-market readiness and gaps in CE preparedness, skills development.
• Lead the broader region's Data Analytics technical community, to ensure sub-regional technical contributions, achieve scale through artifact and innovation sharing.
• Influence cross-functional teams, including Product Management and Engineering, ensuring customer needs are represented in product roadmaps and new technology is incubated and scaled.
• Lead the team to work with Google Cloud Platform to demonstrate and prototype our Agentic Data Cloud and AI products or integrations in customer/partner environments.
• Lead and own high impact customer C-level or ITDM relationships who make or influence Data and AI enterprise technology decisions.