Minimum qualifications:

　　Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.

　　5 years of experience managing a technical team in a cloud computing environment, or customer-facing role.

　　Experience coding in one or more languages such as Python, Scala, Java, Go.

　　Experience building ML solutions and developing applications using AI frameworks.

　　Preferred qualifications: MBA or Master's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.

　　Experience serving in the capacity of a pre-sales, customer-facing field engineering manager.

　　Experience with contact center technologies and platforms and building conversational applications.

　　Ability to craft a compelling message and tailor it for a given audience.

　　About the job

　　As a Generative AI Field Solutions Architect Manager II, 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.

　　Google Cloud accelerates organizations' ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology - all on the cleanest cloud in the industry. 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.

　　The US base salary range for this full-time position is $215,000-$315,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

　　Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .

　　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 Field Solution Architects (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 engineering to resolve product problems affecting pre and post-sales customer satisfaction.