Senior Financial Analyst, Applied AI

• 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, or 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 changing, rapidly evolving environment and manage multiple high-priority projects simultaneously.
• Excellent cross-functional communication and stakeholder management skills, with the ability to influence leadership across Finance, Product, and Engineering.

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. 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 serve as the Applied AI product finance architects supporting Google Cloud Platform’s ecosystem of AI solutions. Our focus centers on driving the financial strategy for Agentic AI technologies, empowering enterprise customers across verticals to achieve profound organizational transformation through innovation.
Our Financial Planning and Analysis (FP&A) team supports the Product, Engineering, and Operations teams that build and sell Google Cloud Product's (GCP’s) Agentic AI products. We manage the end-to-end product profit and loss (P&Ls), including business growth, infrastructure expense, payroll and other operational expenses. 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.

Responsibilities

• Manage the comprehensive Applied AI P&L lifecycle, forecasting frameworks, and capital allocation to ensure sustainable market expansion.
• Lead financial workstreams for New Product Introductions, pricing architectures, and priority projects like the "Agentic pivot" and Agent Studio.
• Execute granular "cost of serving" modeling and optimize resource deployment to maximize operating margins across the AI ecosystem.
• Partner with Product and Engineering leadership to align financial performance targets with technical development and product roadmaps.
• Deliver next-generation reporting and predictive analytics to equip executive leadership with data-driven strategic recommendations.