The Google Cloud Go-to-Market Strategy and Operations team acts as trusted advisors, partnering with Sales, Customer Engineering, Finance, Marketing, Partners and Google Cloud Consulting to plan, strategize, and run the business in a transformational way.
As the Scaled Services Operations Lead, your objective is to fundamentally rewire how the Google Cloud ecosystem operates. We cannot scale our global sales and services simply by adding headcount; we must scale exponentially through intelligent automation. Your objective is to hunt down complex, manual bottlenecks across our business and replace them with transformational AI, automation, and agentic solutions. You will own the entire lifecycle of operational transformation: from mapping out the initial end-to-end business process and analyzing the data, to actually building the solution.
You will be expected to self-build the initial V1 AI prototypes. When those prototypes are ready to scale globally, you will serve as the crucial bridge to our engineering teams, translating your operational needs into precise, foolproof technical requirements.
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $186000 - $270000 (USD) + 20% bonus target + bonus + equity + benefits
Learn more about
benefits at Google.
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 working with executive-level clients or stakeholders.
- Experience with SQL or other dashboarding and data visualization tools.
Preferred qualifications:
- MBA or other relevant advanced degree.
- Experience and comfort with large datasets, synthesizing insights and recommending actions from data.
- Experience identifying AI and automation opportunities and translating complex business processes into clear technical requirements.
- Experience with or at large enterprise organizations, managing internal stakeholders, and presenting to executives and technical management teams.
- Experience planning and managing at both the strategic and operational level, with the ability to be successful in a complex, globally-scaled product, sales and engineering environment.
- Distinctive problem solving skills, with the ability to work in a fast growing, dynamic and often ambiguous environment.