Financial Analyst, Machine Learning, Corporate Finance

Google

Sunnyvale (CA)

On-site

USD 116,000 - 166,000

Full time

3 hours ago
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Benefits offered by this job

Health insurance
401(k) with company match
Paid time off (20 days/year)
Sick time (40 hours/year)
Maternity leave (28–30 weeks)
Baby bonding leave (18 weeks)
Paid holidays (13 days)

Job summary

Google is seeking a Corporate Finance professional to guide strategic investment in AI/ML across product areas. You will work with cross-functional teams to translate TPU resource requests and finance impacts into actionable insights and dashboards, helping steer long-range planning and resource allocation.

The role emphasizes data-driven decision making, automated processes, and collaboration with Product Area Finance and central teams to align investments with strategic priorities.

Qualifications

  • Bachelor's degree in Business, Finance, Economics, Statistics, or equivalent practical experience.
  • 4 years of experience in FP&A, consulting, or related function.
  • Experience executing full-cycle FP&A functions including budgeting, forecasting, variance analysis, and modeling.

Responsibilities

  • Own governance of AI/ML compute portfolio data and reconcile financials with capacity.
  • Transform unstructured TPU resource data into standardized visualizations, reports, and dashboards.
  • Perform financial analysis to understand product area business and machine resource needs.
  • Partner cross-functionally with Product Area Finance, TPMs, and central teams to drive allocation decisions.
  • Execute due diligence, automated chargeback processes, and portfolio operating rhythms.

Skills

FP&A experience
Financial modeling
Data interpretation
Cross-functional collaboration

Education

Bachelor's degree in Business, Finance, Economics, Statistics, or equivalent

Tools

SQL
Python
Tableau
Excel
TensorFlow

Job description

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 share your preferred working location from the following: Kirkland, WA, USA; Sunnyvale, CA, USA. Minimum qualifications:
  • Bachelor's degree in Business, Finance, Economics, Statistics, a quantitative field, or equivalent practical experience.
  • 4 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.
Preferred qualifications:
  • Experience building data infrastructure (e.g., designing architecture, building data pipelines, implementing scalable monitoring) and implementing reporting solutions.
  • Experience developing strategies and making resource allocation decisions.
  • Experience analyzing data to influence decision-making and generate business insights.
  • Experience in project management and collaborating with cross-functional stakeholders.
About the jobIn this role, your focus will be on understanding where and how Google should invest to support the impact of our growing AI/Machine Learning investments. You will represent the Corporate Finance team and collaborate with cross-functional and finance stakeholders. This is a unique opportunity to have an outsized impact in a highly visible and strategic area of the company.
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $116000 - $166000 (USD) + 15% bonus target + equity + benefits
Responsibilities:
Learn more about benefits at Google .
  • Own the governance of AI/ML compute portfolio data, reconciling financial and capacity numbers to maintain a single source of truth on corporate long-range plan financials.
  • Transform unstructured data from Tensor Processing Unit (TPU) resource requests and financial impacts into standardized data visualizations, comprehensive reports, and executive dashboards.
  • Perform financial analysis to understand product area business and machine resource needs, ensuring investment decisions align with strategic priorities.
  • Partner cross-functionally with Product Area Finance, Technical Program Managers (TPMs), and central teams to drive consensus on allocation decisions, short- and long-term planning, and shared AI/ML objectives.
  • Execute due diligence, automated chargeback processes, and portfolio operating rhythms to monitor performance against key performance indicators (KPIs).
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
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