Customer Intelligence Manager, Google Cloud, GTM

Google LLC

Atlanta, GA

JOB DETAILS
SKILLS
Android, Artificial Intelligence (AI), Benchmarking, Business Intelligence, Business Model, Business Operations, Business Plan, Business Processes, Business Strategy, Campaigns, Cloud Computing, Commodity Management, Corporate Planning, Cross-Functional, Data Analysis, Data Modeling, Data Science, Data Structures, Disk Management, English Language, Entrepreneurship, Equal Employment Opportunity (EEO), Establish Priorities, Facilities Management, Finance, Genetics, Hard Drives, Leading Edge Technology, Machine Learning, Machine Tool, Management Consulting, Manufacturing, Market Analysis, Market Entry Strategy, Market Share, Network Operations Center, Operations Management, Organizational Skills, Performance Analysis, Performance Metrics, Performance Reviews, Process Modeling, Product Management, Project/Program Management, Quality Engineering, Recruiting/Staffing Agency, Regulatory Requirements, Reliability Engineering, Sales, Sales Management, Sales Operations, Sales Strategy, Sales Tools, Software Engineering, Stock Purchase Plans, Strategic Planning, Structural Engineering, Systems Engineering, Tactical Operations, Tape Backup, Technical Support, Thought Leadership, Translation Services
LOCATION
Atlanta, GA
POSTED
2 days ago

Customer Intelligence Manager, Google Cloud, GTM - Google Careers

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Customer Intelligence Manager, Google Cloud, GTM

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corporate_fareGoogleplaceAustin, TX, USA; Atlanta, GA, USA; +3 more; +2 more

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Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

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XThe application window will be open until at least August 5, 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 core business operations (e.g., sales-play planning, running business performance reviews, or targeting governance).

  • Experience with data analysis, generating data-driven insights to influence decision-making (e.g., SQL, BigQuery, BI platforms, etc.).

  • Experience working with executive-level clients or stakeholders to present data analysis, propensity models, or business performance metrics.

Preferred qualifications:

  • MBA or other relevant advanced degree.

  • Experience in management consulting, finance, or business strategy function.

  • Experience collaborating with data scientists, BI engineers, or GTM systems developers.

  • Experience working with sales targeting models, propensity-based prioritization, and scaling GTM performance metrics (e.g., tracking win-rate lifts, campaign conversion, or new logo acquisition).

  • Track record of high productivity and execution under tight deadlines, with a willingness to challenge assumptions, take direct ownership, and drive business outcomes.

  • Excellent relationship-building skills with sales leaders, product practice managers, and cross-functional stakeholders (e.g., BI, sales operations, tooling and systems teams).

About the job

The GTM Motions team in PACE is tasked with equipping both global practice GTM and the field with actionable insights on consumption, advocating a data-driven mindset, in order to prioritize efforts, ensure strong execution, and deliver always-on measurement of impact.

As a Customer Intelligence Manager within the Performance Analytics and Cloud Excellence team, you will occupy a critical, high-impact intersection between big-picture business strategy and advanced data systems. This is a net-new role designed for an entrepreneurial professional who grows in high-growth, highly ambiguous environments. You will partner closely with the Data Science team (composed of statisticians and PhDs) and infrastructure leads to translate complex data structures and machine learning models into actionable commercial frameworks. Your insights will directly steer the business trajectory and go-to-market strategies for our enterprise and select cloud accounts.

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 + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Collaborate with technical and commercial stakeholders to act as the primary translator between data science, business intelligence, systems engineering, and business teams.
  • Own and execute end-to-end ambiguous projects, including building frameworks to evaluate market share against total addressable market (TAM) or operationalizing machine learning models into business processes.
  • Simplify and optimize Go-to-Market (GTM) models by streamlining frameworks to reduce complexity, improve execution speed, and drive efficiency across sales teams.
  • Elevate the AI Threat Defense initiative from tactical and operational execution to industry-leading thought leadership, establishing strategic benchmarks and positioning the team as an internal and external authority.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google"s Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google"s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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