Finance Analyst, AI Cloud Product Finance

Finance Analyst, AI Cloud Product Finance corporate_fare Google place Sunnyvale, CA, USA ; Chicago, IL, USA ; +2 more ; +1 more 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: Sunnyvale, CA, USA; Chicago, IL, USA; Kirkland, WA, USA .

Minimum qualifications:

Bachelor's degree in Business, Finance, Economics, Statistics, or a related quantitative field, or equivalent practical experience. 4 years of experience in financial planning and analysis (FP&A), consulting, or a related function, or an advanced degree. Experience with executing full-cycle FP&A functions including budgeting, forecasting, variance analysis, and modeling within a multinational company setting.

Preferred qualifications:

Experience streamlining cross-functional activities into processes. Knowledge of Google's technical infrastructure, AI/ML hardware, and the economics behind the investments needed to support AI/ML demand. 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. Cloud is a priority for Google. We develop groundbreaking cloud solutions, including Google Cloud Platform (GCP) and Google Workspace, to enable our clients' digital transformation. Our Finance team ensures that Cloud Product, Capacity, and Technical Infrastructure (TI) organizations make sound financial decisions for investments in the Cloud business. We are an important partner and advisor to the Cloud leaders, providing them financial, analytical, and insight. The US base salary range for this full-time position is $117,000-$167,000 + 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 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 . Responsibilities Facilitate cross-functional workstreams to analyze capacity constraints and cost drivers for customer agreements. Develop models to forecast customer demand and profitability. Partner with engineering, technical infrastructure (TI), and product management (PM) to analyze the performance and total cost of ownership (TCO) for artificial intelligence (AI) product stock keeping units (SKUs), incorporating these insights into customer proposals. Work alongside capacity, TI, and PM to develop cost insights for the new product introduction (NPI) roadmap based on macroeconomic commodity prices.