Senior Finance Manager, Cloud Product Finance
GoogleAbout the role
Minimum qualifications:
- Bachelor's degree in Business, Finance, Economics, Statistics, or another quantitative field, or equivalent practical experience.
- 14 years of experience in financial planning and analysis (FP&A), consulting, or a related function, or an advanced degree.
- Experience building, developing and leading a team.
- Experience in financial modeling and analysis (e.g., Net Present Value (NPV), Internal Rate of Return (IRR), Payback Period, and Margin Analysis.)
Preferred qualifications:
- Experience with SQL, large datasets, and integrated financial systems.
- Knowledge of Cloud infrastructure, AI/ML hardware (e.g., GPUs and custom silicon), and data center operations.
- Ability to influence VPs and SVPs across engineering, product, and sales with excellent investigative and communication skills.
- Ability to balance immediate free cash flow maximization with long-term priorities in a changing, unstructured environment.
About the job
Financial Analysts ensure that Google makes sound financial decisions. As a Financial Analyst, your work, whether it's modeling business scenarios or tracking performance metrics, is used by our leaders to make strategic company decisions. Excellent at working on multiple projects at a time, you are focused on the details while finding creative ways to address big picture challenges.
You are both a manager and a mentor, providing financial leadership and analytical support to partners of the core Finance team as well as giving your own team the support they need to become financial experts. You'll keep management informed on key financial metrics and work to improve financial operation practices throughout your region.
As a Senior Finance Manager for Cloud Product Finance, you will lead the financial strategy and capacity planning mechanisms that drive Google Cloud’s infrastructure investments. Serving as a primary bridge between Finance, Demand Planning, and Engineering, you will align planning across traditional compute capacity and AI/GPU acceleration. You will also partner cross-functionally to integrate near-term power signals into the overarching product strategy.
In this role, you will lead a high-performing team with end-to-end ownership of demand forecasts for multi-billion-dollar infrastructure lifecycles. Your work will directly influence capital allocation, asset payback economics, ROIC, and free cash flow—shaping the "plan of record" used by Cloud leadership to steer the business.
The US base salary range for this full-time position is $211,000-$297,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
The US base salary range for this full-time position is $211,000-$297,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Serve as the lead advisor to Cloud leadership on AI and "Classic" compute capital allocation, developing frameworks that balance immediate business maximization with long-term strategic projects.
- Resolve regional misalignments where demand exceeds available capacity and vice versa.
- Build and scale unified planning mechanisms to bridge fragmented teams and create a "Plan of Record" used by the C-suite to ensure operational execution aligns with f
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