Google is hiring a Customer Intelligence Manager, Google Cloud, GTM for its Performance Analytics and Cloud Excellence team. This role sits within the GTM Motions team in PACE and focuses on turning complex data into practical go-to-market action.
The position is open in Austin, Texas; Atlanta, Georgia; Boulder, Colorado; and Chicago, Illinois. According to Google, the application window will remain open until at least August 5, 2026, though the posting may close earlier or stay up longer based on business needs.
Takeaways 🚀
✅Drives data-led Google Cloud GTM
✅Translates analytics into business action
✅Optimizes sales targeting and execution
✅Owns complex cross-functional strategic projects
✅Offers salary, bonus, equity benefits
What the Customer Intelligence Manager role is about
This is a strategic and analytical role at the intersection of business strategy, customer intelligence, data systems, and GTM execution. The person in this position will help Google Cloud teams make better commercial decisions by using data, measurement frameworks, and machine learning-driven insights.
Google describes the role as a high-impact, net-new position for someone who can work well in fast-moving and ambiguous environments. The Customer Intelligence Manager will work closely with data scientists, statisticians, infrastructure leads, business intelligence teams, systems engineering teams, and commercial stakeholders.
A core part of the job is to translate technical outputs into business decisions. That includes turning complex data structures, propensity models, and machine learning models into commercial frameworks that sales and GTM teams can use.
Team context: GTM Motions in PACE
The GTM Motions team in PACE supports both global practice GTM teams and field teams with actionable insights on consumption. Its goal is to build a more data-driven mindset, help teams prioritize work, improve execution, and measure impact on an ongoing basis.
This means the Customer Intelligence Manager will likely play a central role in:
- analyzing performance trends
- improving sales targeting
- supporting GTM strategy
- measuring business impact
- helping teams act on customer and market intelligence
Minimum qualifications
Google lists the following minimum qualifications for the role:
- Bachelor’s degree or equivalent practical experience
- 8 years of experience in:
- go-to-market strategy
- sales operations
- strategy and operations
- management consulting
- finance
- program management
- Experience with core business operations, such as:
- sales-play planning
- business performance reviews
- targeting governance
- Experience with data analysis and producing data-driven insights to support decision-making
- Experience with tools and platforms such as:
- SQL
- BigQuery
- BI platforms
- Experience presenting data analysis, propensity models, or business performance metrics to executive-level clients or stakeholders
These qualifications show that Google wants a candidate with both strategic thinking and hands-on analytical ability.
Preferred qualifications
Google also lists several preferred qualifications that may help candidates stand out:
- MBA or another relevant advanced degree
- Experience in management consulting, finance, or business strategy
- Experience working with:
- data scientists
- BI engineers
- GTM systems developers
- Experience with:
- sales targeting models
- propensity-based prioritization
- scaling GTM performance metrics
- Experience measuring outcomes such as:
- win-rate lifts
- campaign conversion
- new logo acquisition
- A strong record of execution under tight deadlines
- Willingness to challenge assumptions, take ownership, and drive outcomes
- Strong relationship-building skills across:
- sales leadership
- product practice managers
- BI teams
- sales operations
- tooling and systems teams
These keywords suggest the role favors candidates who can combine strategy, analytics, stakeholder management, and execution.
Key responsibilities
Google outlines four main responsibilities for the position:
1. Act as a translator between technical and business teams
The Customer Intelligence Manager will collaborate with both technical and commercial stakeholders. The role serves as the main link between:
- data science
- business intelligence
- systems engineering
- business teams
This requires strong communication skills and the ability to make technical findings useful for decision-makers.
2. Lead ambiguous, end-to-end projects
The role includes ownership of projects that may not have a fixed playbook. Examples include:
- building frameworks to evaluate market share against total addressable market (TAM)
- operationalizing machine learning models into day-to-day business processes
This points to a role with significant autonomy and strategic influence.
3. Simplify and optimize GTM models
Google wants this person to improve Go-to-Market (GTM) models by reducing complexity and increasing speed. The goal is to help sales teams execute more efficiently and make better decisions faster.
This responsibility connects directly to sales operations, GTM strategy, and performance optimization.
4. Advance the AI Threat Defense initiative
The role also supports the AI Threat Defense initiative. Google says the aim is to move this work from tactical execution to industry-leading thought leadership. That includes setting strategic benchmarks and helping position the team as an authority both internally and externally.
Salary, bonus, equity, and benefits
Google lists the US compensation range for this role as:
- $186,000 to $270,000 base salary
- 20% bonus target
- equity
- benefits
Google notes that individual pay depends on factors such as:
- job-related skills
- experience
- relevant education
- training
For experienced candidates in customer intelligence, GTM analytics, sales strategy, business operations, or cloud strategy roles, this compensation package places the role in the senior professional category.
Work location options
Applicants can share a preferred working location from the following US cities:
- Austin, TX
- Atlanta, GA
- Boulder, CO
- Chicago, IL
This gives candidates several location options while staying within Google Cloud’s listed hiring footprint for the role.
Why this role matters at Google Cloud
Google Cloud says its mission is to help organizations digitally transform their business and industry. The company highlights its enterprise-grade solutions, advanced technology, and global customer base across more than 200 countries and territories.
Within that context, the Customer Intelligence Manager role matters because it connects data, commercial strategy, and execution. The position can influence how Google Cloud prioritizes accounts, measures impact, improves targeting, and supports growth.
This is not a purely technical job, and it is not a purely sales role either. It sits in the middle and helps both sides work better together.
Who may be a strong fit
Based on the job description, strong candidates may come from backgrounds such as:
- GTM strategy
- sales operations
- business operations
- management consulting
- strategic finance
- program management
- customer intelligence
- commercial analytics
- cloud business strategy
People with experience in SQL, BigQuery, BI platforms, propensity modeling, sales targeting, GTM performance metrics, and executive stakeholder communication may be especially relevant for this opportunity.
Equal opportunity and applicant support
Google states that it is an equal opportunity workplace and an affirmative action employer. The company says it is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or criminal history where protected by law.
Google also says applicants who need accommodation can request support through its accommodations process.
Final takeaway
The Customer Intelligence Manager, Google Cloud, GTM role is a senior opportunity for candidates who can blend data analysis, go-to-market strategy, business operations, stakeholder management, and execution. It appears designed for someone who can simplify complexity, influence leaders, and turn analytics into commercial action.
With a listed salary range of $186,000 to $270,000 plus 20% bonus, equity, and benefits, the position offers substantial compensation alongside strategic scope. For professionals with experience in Google Cloud, GTM, SQL, BigQuery, BI platforms, sales targeting models, propensity-based prioritization, and business performance metrics, this role aligns closely with high-level customer intelligence and growth strategy work.
