At a Glance
- Tasks: Lead Google Cloud Sales teams to deploy cutting-edge AI/ML technology and develop innovative solutions.
- Company: Join Google Cloud, a leader in digital transformation and AI technology, trusted by customers worldwide.
- Benefits: Enjoy flexible work options, competitive salary, and access to state-of-the-art technology.
- Why this job: Be at the forefront of AI innovation, shaping the future while collaborating with top talent.
- Qualifications: Bachelor's degree in STEM, 10 years in cloud computing, and experience managing technical teams required.
- Other info: Google values diversity and is committed to creating an inclusive workplace for all.
The predicted salary is between 72000 - 108000 £ per year.
Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
10 years of experience working in a cloud computing environment, or equivalent experience in a technical customer-facing role.
2 years of experience managing a technical team in a cloud computing environment or customer-facing role.
Experience in Artificial Intelligence applications (e.g., deep learning, natural language processing, computer vision, or pattern recognition), applied machine learning techniques, or using OSS frameworks (e.g., TensorFlow, PyTorch).
Experience building ML solutions and developing applications using AI frameworks.
Preferred qualifications:
- MBA or Master's degree in Computer Science, Mathematics, or a related technical field.
- Experience serving in the capacity of a pre-sales, customer-facing field development manager.
- Experience with contact center technologies and platforms and building conversational applications.
As a Generative AI (GenAI) Field Solutions Architect Manager, you will lead Google Cloud Sales teams to incubate, pilot, and deploy Google Cloud’s industry leading AI/ML and Generative AI technology at AI natives and innovators, large enterprises, and early stage AI startups. You will help teams operate efficiently and effectively with state of the art solutions using Google Cloud’s flexible and open infrastructure including AI Accelerators (e.g., TPU/GPU).
In this role, you will identify, assess, and develop Generative AI and AI/ML applications by applying key industry tools, techniques, and methodologies to solve problems. You will help customers leverage accelerators within their overall cloud strategy by helping run benchmarks for existing models, finding opportunities to use accelerators for new models, developing migration paths, and helping to analyze cost to performance. You will work closely with internal Cloud AI teams to remove roadblocks and shape the future of our offerings. You will navigate ambiguity, troubleshoot and find solutions, and learn quickly in a rapidly changing technology space.
Responsibilities:
- Collaborate with Sales and Field Solution Architects (FSA) management to determine proper staffing levels to support business goals, establish job requisitions, and lead interview teams to fill open positions.
- Organize, train, and equip the FSA team.
- Assess FSA team’s go-to-market readiness, identify gaps in FSA preparedness, and build plans to ensure the FSA 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 insights to secure technical success.
- Work with the Sales Account team, customer support, product management, customer solutions, and development to resolve product problems affecting pre and post-sales customer satisfaction.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.
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.
Field Solutions Architect Manager, GenAI, Google Cloud employer: Google
Contact Detail:
Google Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Field Solutions Architect Manager, GenAI, Google Cloud
✨Tip Number 1
Familiarise yourself with Google Cloud's AI and ML offerings. Understanding their products, especially in the context of Generative AI, will help you speak confidently about how you can leverage these technologies to solve customer problems.
✨Tip Number 2
Network with professionals in the cloud computing and AI sectors. Attend relevant meetups or webinars to connect with others in the field, as personal referrals can significantly boost your chances of landing an interview.
✨Tip Number 3
Prepare to discuss your experience managing technical teams. Be ready to share specific examples of how you've led teams to success in a cloud environment, as this role requires strong leadership skills.
✨Tip Number 4
Stay updated on the latest trends in AI and cloud technology. Being knowledgeable about recent advancements will not only impress your interviewers but also demonstrate your commitment to continuous learning in this fast-paced industry.
We think you need these skills to ace Field Solutions Architect Manager, GenAI, Google Cloud
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in cloud computing and AI applications. Emphasise your technical customer-facing roles and any leadership experience you have managing teams.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about Generative AI and how your background aligns with the responsibilities of the Field Solutions Architect Manager role. Mention specific projects or experiences that demonstrate your expertise.
Showcase Relevant Skills: Clearly outline your skills in machine learning frameworks like TensorFlow or PyTorch, and any experience with conversational applications or contact centre technologies. Use specific examples to illustrate your capabilities.
Highlight Leadership Experience: Since the role involves managing a technical team, be sure to detail your leadership experience. Discuss how you've trained and equipped teams in previous roles, and any strategies you've implemented to enhance team performance.
How to prepare for a job interview at Google
✨Showcase Your Technical Expertise
Make sure to highlight your experience in cloud computing and AI applications during the interview. Be prepared to discuss specific projects where you've implemented machine learning solutions or used frameworks like TensorFlow or PyTorch.
✨Demonstrate Leadership Skills
As a Field Solutions Architect Manager, you'll need to lead a team effectively. Share examples of how you've managed technical teams in the past, focusing on your approach to training, equipping, and assessing team readiness.
✨Understand Google Cloud's Offerings
Familiarise yourself with Google Cloud's AI/ML technologies and how they can be applied in various industries. Being able to discuss how these tools can solve customer problems will show your potential employer that you're proactive and knowledgeable.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in ambiguous situations. Think of scenarios where you've navigated challenges in a cloud environment and be ready to explain your thought process and the outcomes.