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- Tasks: Lead a team of experts to drive cloud transformation and deliver innovative solutions.
- Company: Join Google Cloud, a leader in cutting-edge technology and digital transformation.
- Benefits: Competitive salary, career development, and the chance to work with top-tier technology.
- Why this job: Shape the future of businesses while working with advanced AI and cloud technologies.
- Qualifications: 10 years in cloud architecture and experience in leadership roles.
- Other info: Dynamic environment with opportunities for global collaboration and growth.
The predicted salary is between 72000 - 108000 £ per year.
Required 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.
About the job
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 lead and deploy a team of subject matter experts responsible for working alongside our customers to provide trusted technical and solution advice to accelerate 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.
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 needed, constraints and product challenges affecting customer satisfaction.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
AI Practice Lead Customer Engineering, UKI, Google Cloud in London employer: Google Inc.
Contact Detail:
Google Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Practice Lead Customer Engineering, UKI, Google Cloud in London
✨Tip Number 1
Network like a pro! Reach out to your connections on LinkedIn or attend industry events. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to AI and cloud technologies. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 3
Showcase your expertise! Create a portfolio or a blog where you share insights about AI/ML projects you've worked on. This not only demonstrates your knowledge but also sets you apart from other candidates.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Practice Lead Customer Engineering, UKI, Google Cloud in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience with cloud native architecture and any leadership roles you've held. We want to see how your background aligns with what we're looking for!
Showcase Your Skills: Don’t just list your skills; demonstrate them! Include specific examples of how you've used big data, machine learning frameworks, or AI/ML in your previous roles. This helps us understand your hands-on experience.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of our mission.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Google Inc.
✨Know Your Stuff
Make sure you brush up on cloud native architecture and AI/ML frameworks. Be ready to discuss your experience with tools like TensorFlow or Caffe, and how you've applied them in real-world scenarios. This will show that you’re not just familiar with the tech, but you can also leverage it effectively.
✨Showcase Your Leadership Skills
Since this role involves leading a team, be prepared to share specific examples of your leadership experience. Talk about how you've mentored others, managed teams through challenges, or driven successful projects. Highlighting your people management skills will set you apart.
✨Tailor Your Communication
You’ll need to engage with technical stakeholders and executive leaders, so practice tailoring your messages for different audiences. Think about how you can present complex ideas simply and compellingly. This will demonstrate your ability to connect with various stakeholders.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills and technical acumen. Prepare examples where you've overcome technical roadblocks or led a successful cloud transformation. This will help you illustrate your strategic thinking and operational excellence.
