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X In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Minimum qualifications: - Bachelor's degree in Business, Finance, Economics, Statistics, or another quantitative field, or equivalent practical experience.
- 7 years of experience in Financial Planning and Analysis (FP&A), consulting, a related function, or an advanced degree.
- Experience executing full-cycle FP&A functions including budgeting, forecasting, variance analysis, and modeling within a multinational company setting.
Preferred qualifications: - Experience working within the AI, Cloud, or broader technology industry with an understanding of cloud infrastructure costs.
- Expertise in advanced financial modeling, including SQL, and the ability to translate complex data into strategic business advice.
- Ability to grow in a fast-paced, rapidly evolving environment and manage multiple high-priority projects simultaneously.
- Strong cross-functional communication and stakeholder management skills, with the ability to influence leadership across finance, product, and engineering.
About the jobFinancial 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. Working on multiple projects at a time, you are focused on the details while finding creative ways to take on big picture challenges.
As someone who knows the workings of the core Finance team inside and out, you'll lead individual projects to transform planning, tracking and control processes. You'll provide senior level management with insightful recommendations, planning and reporting support.
We are the Gemini for Enterprise product finance team that supports Google Cloud Platform (GCP)'s vast array of AI products including Gemini API, Gemini Enterprise Applications, Gemini Enterprise Solutions, Vertex Agent and Model Platforms, and other AI Solutions.
Our Financial Planning and Analysis (FP&A) team supports the Product, Engineering, and Operations teams that build and sell GCP's AI products. We manage the end-to-end product P&Ls, including revenue, infrastructure expenses, payroll and other Operational Expenditures (OpEx). We are an integral partner and strategic financial advisers to the Cloud leadership team, advising on how to invest resources to grow a strong and sustainable business.
The name Google came from "googol," a mathematical term for the number 1 followed by 100 zeros. And nobody at Google loves big numbers like the Finance team when providing in depth analysis on all manner of strategic decisions across Google products. From developing forward-thinking analysis to generating management reports to scaling our automated financial processes, the Finance organization is an important partner and advisor to the business.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $141000 - $206000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities - Lead financial partnering, forecasting, and analysis for the first-party model serving business to drive sustainable growth and profitability.
- Drive NPI financial workstreams, including developing pricing strategies and executing comprehensive competitive analyses.
- Provide critical financial analysis for high-priority initiatives, such as deploying Gemini across various capacity sources.
- Conduct detailed "cost of serving" analyses and optimize resource allocation to improve margins across the AI portfolio.
- Partner with Product and Engineering to align technical roadmaps with financial goals while delivering actionable, data-driven reporting to leadership.
