US: $141000 - $205000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Partner with Product and Research leadership to guide long-term financial strategy, budget planning, and capital allocation, driving compute and infrastructure ROI optimization.
Lead advanced financial modeling and scenario planning to evaluate the cost implications of technical, infrastructure, and go-to-market trade-offs.
Design, establish, and scale financial frameworks, governance models, and automated forecasting processes to improve accuracy, transparency, and operational efficiency.
Synthesize and communicate complex financial, technical, and operational narratives to product leads, research Directors, and central Google Finance leadership.
Cultivate collaborative partnerships across cross-functional organizations, including Technical Infrastructure, Corporate Finance, Commercialization, and Google DeepMind leadership to streamline strategic planning.
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.
Experience executing full-cycle FP&A functions including budgeting, forecasting, variance analysis, and modeling within a multinational company setting.
Experience with SQL and Generative AI.
Preferred qualifications
Experience working directly with Product, Research and Development teams in Artificial Intelligence or Machine Learning (AI/ML).
Experience building detailed financial models to track and evaluate return on investments.
Experience working with large datasets using SQL and SAP financial data systems.
Experience using Generative AI tools in a professional environment.
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.
Experience executing full-cycle FP&A functions including budgeting, forecasting, variance analysis, and modeling within a multinational company setting.
Experience with SQL and Generative AI.