Field Solutions Architect Manager, GenAI, Google Cloud
Field Solutions Architect Manager, GenAI, Google Cloud

Field Solutions Architect Manager, GenAI, Google Cloud

Full-Time 72000 - 108000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead teams to deploy cutting-edge AI/ML solutions and drive innovation in cloud technology.
  • Company: Join Google Cloud, a leader in AI and cloud computing with a focus on collaboration.
  • Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
  • Why this job: Shape the future of AI technology and make a real impact in diverse industries.
  • Qualifications: 10 years in cloud computing, team management, and experience with AI applications.
  • Other info: Dynamic role with opportunities to work on groundbreaking projects in a fast-paced environment.

The predicted salary is between 72000 - 108000 £ per year.

Minimum qualifications:

  • 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.
  • 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:

  • Master's degree or MBA 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.
  • Experience working in the UK market.

About the job:

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 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.

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:

  • 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 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.

Field Solutions Architect Manager, GenAI, Google Cloud employer: WeAreTechWomen

At Google Cloud, we pride ourselves on fostering a dynamic and inclusive work environment that empowers our employees to innovate and excel. As a Field Solutions Architect Manager in the vibrant UK market, you will have access to cutting-edge technology and unparalleled growth opportunities, all while collaborating with a diverse team dedicated to transforming businesses through AI and cloud solutions. Our commitment to employee development, coupled with a culture of collaboration and support, makes Google Cloud an exceptional employer for those seeking meaningful and impactful careers.
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Contact Detail:

WeAreTechWomen Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Field Solutions Architect Manager, GenAI, Google Cloud

✨Tip Number 1

Network like a pro! Reach out to your connections in the tech and AI space, especially those who work at Google or similar companies. A friendly chat can lead to insider info about job openings and even referrals.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your AI/ML projects, especially if you've worked with frameworks like TensorFlow or PyTorch. This will give you an edge during interviews and demonstrate your hands-on experience.

✨Tip Number 3

Prepare for the technical interview! Brush up on your knowledge of cloud computing and AI applications. Be ready to discuss how you've tackled challenges in previous roles and how you can apply that experience to the Field Solutions Architect Manager position.

✨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, it shows you're serious about joining the team and ready to dive into the exciting world of Google Cloud.

We think you need these skills to ace Field Solutions Architect Manager, GenAI, Google Cloud

Cloud Computing
Artificial Intelligence Applications
Deep Learning
Natural Language Processing
Computer Vision
Pattern Recognition
Applied Machine Learning Techniques
TensorFlow
PyTorch
Machine Learning Solutions Development
Conversational Applications Development
Technical Team Management
Customer-Facing Experience
Problem-Solving Skills
Adaptability in Rapidly Changing Technology

Some tips for your application 🫡

Show Off Your Experience: Make sure to highlight your 10 years of experience in cloud computing or a technical customer-facing role. We want to see how your background aligns with the role, so don’t hold back on those details!

Tailor Your Application: Customise your CV and cover letter to reflect the specific qualifications mentioned in the job description. We love seeing candidates who take the time to connect their skills with what we’re looking for.

Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your key achievements and experiences shine through without unnecessary fluff.

Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to see what you bring to the table!

How to prepare for a job interview at WeAreTechWomen

✨Know Your Tech Inside Out

Make sure you’re well-versed in cloud computing and AI applications. Brush up on your knowledge of deep learning, natural language processing, and the specific OSS frameworks mentioned in the job description. Being able to discuss these topics confidently will show that you’re not just familiar with the tech, but that you can also lead a team effectively.

✨Showcase Your Leadership Skills

Since this role involves managing a technical team, be prepared to share examples of how you've successfully led teams in the past. Think about challenges you faced, how you motivated your team, and the outcomes of your leadership. This will demonstrate your capability to manage and inspire others.

✨Understand the Market

Familiarise yourself with the UK market and any specific challenges or opportunities it presents for Google Cloud. Being able to discuss how you would approach these market dynamics will set you apart as a candidate who is not only technically skilled but also strategically minded.

✨Prepare for Problem-Solving Scenarios

Expect to tackle some real-world problems during your interview. Prepare by thinking through how you would approach common issues in deploying AI/ML solutions. Practising your problem-solving process will help you articulate your thought process clearly and effectively during the interview.

Field Solutions Architect Manager, GenAI, Google Cloud
WeAreTechWomen

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