Senior Financial Analyst, AI Infrastructure, Product Finance

Senior Financial Analyst, AI Infrastructure, Product Finance corporate_fare Google place Kirkland, WA, USA ; Sunnyvale, CA, USA bar_chart Mid Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. info_outline 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

Note:

By applying to this position you will have an opportunity to your preferred working location from the following: Kirkland, WA, USA; Sunnyvale, CA, USA .

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:

Knowledge of Cloud infrastructure, AI/ML hardware (GPUs/custom silicon), and data center operations. Advanced problem solving skills, including experience with SQL, large datasets, and integrated financial systems. Ability to balance immediate free cash flow maximization with long-term strategic priorities in a fast-paced, unstructured environment. Exceptional communication skills, with the ability to influence C-levels across Engineering, Product, and Sales. 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. The Cloud Product Finance team is at the epicenter of Google Cloud's physical and digital expansion. We ensure that our infrastructure investments are strategically sound, operationally efficient, and aligned with our long-term financial goals, driving profitable growth for Google Cloud. As a key partner to the Engineering, Supply Chain, Demand Planning, and Product organizations, we provide the financial expertise and strategic insight necessary to scale our global footprint and lead the AI revolution. 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 business planning for

AI/ML TPU

Infrastructure business. Provide business and margin analysis for

AI/ML TPU

Infrastructure business. Partner with Capacity, Product, and GTM teams to evaluate the latest customer demand signals and provide the latest business snapshot to business and finance leadership. Contribute to regular cadence process and deliverables for the

AI/ML TPU

Infrastructure business such as business reviews and financial forecasts.