Technical Enablement Lead, AI/ML, Google Cloud Consulting

Minimum qualifications:

• Bachelor's degree in Computer Science, Mathematics, a related technical field or equivalent practical experience.
• 8 years of experience in a technical project management or a customer-facing role.
• 4 years of experience in cloud or other technical implementation, connecting technology with business outcomes.
• 2 years of experience in helping customers or internal colleagues align technical solutions with business needs.

Preferred qualifications:

• Cloud certifications related to AI/ML.
• 2 years of experience in a formal training or enablement role.
• 2 years of consulting or implementation experience focused on business outcomes with an enterprise business setting.
• 2 years of experience with AI/ML solutions.
• Experience implementing, industry best practices (e.g., Health Care, Financial Services, Retail, etc.).
• Understanding of cloud computing concepts and how AI/ML can be applied to cloud-based technologies.

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 engineered 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 Technical Enablement Lead for the Google Cloud Consulting (GCC) team focused on the AI/ML pillar, you will develop and manage high quality technical learning experiences for GCC employees. You will work cross-functionally with Consulting delivery team members, Product Managers and Engineers, and technical specialists across the Google Cloud organization to create tailored learning experiences that help employees learn about AI/ML Google Cloud products, implementation design patterns, tools, and processes to help our customers achieve their goals.

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 $128,000-$192,000 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

• Perform detailed needs assessments in coordination with Field, Engineering, Product Management, Marketing, and Developer Relations teams. Translate technical and business needs into role-specific training offerings and programs with a focus on just-in-time learning.
• Oversee the development of technical training content by partnering with program managers, curriculum development teams, product managers, vendors, or other subject matter experts.
• Deliver and support delivery of technical training for onboarding and ongoing enablement to technical field audiences.
• Plan and execute key enablement events and academies and regularly facilitate classes to drive learning adoption in collaboration with program managers.