Senior Finance Analyst, AI Product Finance, Cloud Finance

Sunnyvale, CA, US Chicago, IL, US Until 9/22/2026 7+ years exp First posted July 24, 2026 Last posted July 24, 2026
Job description

About the Job

As part of the Cloud AI Capacity planning function, this leadership position delivers critical business planning support and financial analytics to Google's Capacity Planning and PM teams. In this role, you will manage a portfolio to address intricate issues, providing the insights necessary for resource allocation. You will help business leaders navigate the complexities of the AI sector, ensuring an equilibrium between margin expansion and business growth.

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

  • Anticipate capacity constraints and implement efficiency gains that improve unit economics and overall Profit and Loss (P&L).
  • Develop P&L and Margin models to articulate margin drivers to executive leadership.
  • Develop Net Present Value (NPV) and cash flow models to evaluate profitability for future New Product Introduction (NPI) platforms and benchmark against engaged products.
  • Analyze performance and Total Cost of Ownership (TCO) for AI Product Stock Keeping Units (SKUs) to incorporate insights into customer proposals.
  • Partner with Cloud Product, Capacity, and Engineering on efficiency initiatives to utilize infrastructure and develop efficiency goals.

Qualifications

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.
  • Experience with programming (i.e. SQL).

Preferred qualifications:

  • Experience with Cloud infrastructure or AI/ML hardware (e.g., GPUs, custom silicon).
  • Experience streamlining cross-functional planning cycles and building models for capital-intensive infrastructure.
  • Experience working with SQL, large datasets, and integrated financial systems.
  • Experience partnering with and influencing cross-functional leadership across Engineering, Product, and Strategy.
  • Experience managing free cash flow maximization and long-term priorities.

Additional Information

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
About this role

Summary

Provide financial analytics and modeling for AI cloud products, support capacity planning and profitability analysis.

Job title

Senior Finance Analyst, AI Product Finance, Cloud Finance

Experience level

7+ years

Minimum experience

7+ years exp

Industry

software

Location requirements

Remote work possible; based in Sunnyvale, Chicago, or Kirkland.

Salary

$141k–$206k

Management role

No

Skills & keywords

Required skills

financemodelingSQLFP&Acost analysis

Preferred skills

cloud infrastructureAI/ML hardwarecross-functional collaborationcash flow management

Specializations

financial planning and analysismodelingcost analysiscash flowAI/ML hardware
Locations

Structured locations inferred from the posting.

Sunnyvale, CA, USA

Remote City

Sunnyvale, CA, USA

On-site City

Chicago, IL, USA

Remote City

Chicago, IL, USA

On-site City

Kirkland, WA, USA

Remote City

Kirkland, WA, USA

On-site City