AI Practice Lead Customer Engineering, UKI, Google Cloud in London

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.

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 Customer Engineers and build growth culture. Focus on talent strategy and skills development to deliver on successful cloud transformation outcomes for our customers and accelerate business goals for your territory.
• Foster partnerships with key customers across the book of business. Provide leadership related to cloud, transformation and relevant industry trends.
• Partner with Google Cloud Sales leadership to define technical go-to-market strategies and execution plan for the team's book of business.
• Balance technical leadership with operational excellence, lead workload and opportunity review meetings and provide insight into how to achieve a technical agreement and migration strategy, working directly with our customers, partners, and prospects.
• Work cross-functionally across Google, our partners, and team to resolve technical roadblocks including capacity needs, constraints and product challenges affecting customer satisfaction.

Qualifications

• 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 with leadership such as people management, team lead, mentorship, or coaching.
• Experience with big data and machine learning frameworks with AI/ML, Large Language Models (LLMs), and Generative AI.
• Experience with machine learning solutions such as TensorFlow, Theano or Caffe, leveraging machine learning architectures and their application.
• Ability to travel up to 25% of the time.

Preferred qualifications

• Experience with software lifecycles, building tools, architecting and developing software for scalable, distributed systems, including data platform, AI/ML and infrastructure.
• Experience as a pre-sales manager or a people manager in a technical customer-facing role within a professional services or Sales Engineering team.
• Experience managing a team through sales processes, operations and career development, including account mapping, quota setting, quarterly/annual performance management, and managing sensitive information.
• Experience engaging with, and presenting to, technical stakeholders and executive leaders, including tailoring and delivering compelling messages by audience, asking strategic questions, and leading conversations that drive business opportunity.

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.