https://www.google.com/about/careers/applications/jobs/results/138608533519114950-forward-deployed-engineer-strategy-and-operations-lead-north-america

Forward Deployed Engineer Strategy and Operations Lead, North America corporate_fare Google place Austin, TX, USA ; Atlanta, GA, USA ; +2 more info_outline X The application window will be open until at least November 13, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; Atlanta, GA, USA; Boulder, CO, USA; Chicago, IL, USA.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in Go-to-Market Strategy, Sales Operations, Strategy and Operations, Management Consulting, Finance, or Program Management. Experience with data analysis, generating data-driven insights, using SQL or other analytical approaches. Experience in business planning, program management, forecasting, and storytelling through data to facilitate conversations with executive leadership.

Experience as a trusted advisor to executive stakeholders, and experience in client management and relationship-building. Preferred qualifications: MBA or other relevant advanced degree. Experience tailoring and delivering compelling reporting and presentations by audience, asking strategic questions, and leading conversations that drive results and efficiencies. Experience collaborating with cross-functional teams and influencing without authority to drive operational excellence, successful delivery of priority initiatives, process improvements, and change management.

Knowledge of enterprise customers and cloud technologies, products and market landscape. About the job As a part of the Google Cloud Go-to-Market Strategy and Operations team, you will act as a trusted advisor, partnering with Sales, Customer Engineering, Finance, Marketing, Partners and Google Cloud Consulting to plan, strategize, and run the business in a transformational way. As a part of the Cloud AI Tech GTM team, you will be focused on building and executing our Global AI GTM strategy. Your position plays an integral role helping drive the growth of this team and business globally.

As part of the AI Strategy and Operations team in the Google Cloud organization, you will partner closely with FDE, AI CE and sales leadership, finance, product, and regional operations teams to provide actionable insights and use a data-driven approach to improve forecast accuracy, sharpen decision making, and drive deep understanding of our fast growing business.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $186000 - $269000 (USD) + 20% bonus target + equity + benefits Learn more about benefits at Google. Responsibilities Manage the North American AI Tech GTM rhythm-of-business activities, including business reviews, resource allocation, workload reviews, and forecast calls.

Operationalize the AI Tech GTM team in North America by driving the stand-up of key systems, R&R maps, processes, and tools to support business scaling. Orchestrate the end-to-end qualification, technical review, and executive prioritization of all incoming customer Engagement Requests (ERs) across North America. Drive continuous operational inspection of active customer engagements across operational projects and assigned Forward Deployed Engineers (FDE) to mitigate delivery blockers and harvest repeatable architectural wins.

Partner with regional AI Sales Specialists, FDE, AI CE, and finance teams to provide inputs into global Cloud AI forecast/review cycles, while collaborating with regional peers on AI Tech GTM planning activities, including blueprint development, metric setting, and territory design.