Customer Engineering Manager III, AI Infrastructure, Google Cloud

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 leadership, including people management, team leadership, mentorship, or coaching.
• Experience with cloud and AI infrastructure (AI accelerators, hardware shapes, sizes, scaling, auto-provisioning, etc.).
• Experience building or leveraging machine learning solutions and developing applications using AI infrastructure, frameworks and methods.
• Ability to travel up to 25% of the time.

Preferred qualifications:

• MBA or Master's degree in Computer Science.
• Experience serving in the capacity of a pre-sales, customer-facing field engineering manager.
• Experience in designing/architecting scale infrastructure farms for AI training and inferencing use, including GPU or TPU workload implementation, Kubernetes, Networking or other areas related to high-performance clusters and hybrid cloud solutions.
• Experience crafting compelling messages and tailoring them for a given audience, mixing technical expertise with everyday language to deliver a story that is useful.
• Knowledge of AI accelerators, PaaS, SaaS, IaaS, public cloud, and related industry and technical concepts.

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 Manager, you have excellent technical, communication and organizational skills. You will lead a team of pre-sales engineers and field solution architects, who engage with sales prospects, discover and assess customer requirements, prepare and present demonstrations of Google’s Cloud services, and address and overcome technical objections that arise throughout the sales process.

You will manage engineering professionals. Additionally, you should be a confident presenter with excellent verbal and written communication skills. You will also maintain personal technical expertise and be prepared to engage directly with prospects as the opportunity presents itself. In addition, you will have the ability to work cross-functionally with our product, support, engineering and sales teams.

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.

• Collaborate with Sales and Customer Engineering (CE) management to determine proper staffing levels to support business goals, establish job requisitions, assemble a pool, and lead the interview team to fill open positions.
• Assess CE team’s go-to-market readiness, identify gaps in CE preparedness, and build plans to ensure the CE team is properly trained and equipped to perform in support of annualized business goals.
• Work with Google Cloud Sales team leadership to identify, qualify, and prioritize coverage for business opportunities. Participate in periodic opportunity review meetings providing insight into how to secure technical success.
• Work with the sales account team, customer support, product management, customer solutions, and engineering to resolve product problems affecting pre- and post-sales customer satisfaction.