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Scaled Services Strategy and Operations Manager II, AI Transformation, Google Cloud

Job in Boulder, Boulder County, Colorado, 80301, USA
Listing for: Google LLC
Full Time position
Listed on 2026-06-13
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 152000 - 222000 USD Yearly USD 152000.00 222000.00 YEAR
Job Description & How to Apply Below
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XThe application window will be open until at least June 25, 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:
Chicago, IL, USA;
Atlanta, GA, USA;
Austin, TX, USA;
Boulder, CO, USA.

Minimum qualifications:

* Bachelor's degree or equivalent practical experience.

* 6 years of experience in sales strategy, sales operations, management consulting, finance, or program management.

* Experience with SQL or other dashboarding and data visualization tools.

* Experience working with executive-level clients or stakeholders.

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.

About the job

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 Manager, 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: $152000 - $222000 (USD) + 15% bonus target + bonus + equity + benefits

Learn more about benefits at Google.

Responsibilities

* Drive complex/cross-functional projects and processes as a key contributor with limited guidance, and demonstrate end-to-end ownership of smaller projects.

* Map and analyze end-to-end business processes to pinpoint opportunities where AI-driven automation or agentic solutions can transform operations and drive efficiency.

* Act as the bridge between operations and technology by prototyping self-built AI tools or translating operational needs into precise technical requirements for delivery teams.

* Define and develop key analysis and generate executive-level insights and recommendations to address strategic issues and in response to executive leadership requests.

* Support functional teams by understanding strategic issues to enable a common set of processes and solutions.
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