Senior Financial Analyst I

• 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

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.

Preferred qualifications:

• Experience with SQL, large datasets, and integrated financial systems including advanced investigative skills.
• Deep knowledge of Cloud infrastructure, AI/ML hardware (e.g., GPUs/custom silicon).
• Ability to balance immediate free cash flow maximization with long-term priorities in a changing, unstructured environment.
• Exceptional communication skills with the ability to influence Directors and VPs across Engineering, Product, Strategy.
• Proven track record of streamlining complex, cross-functional planning cycles and building "single source of truth" models for complex and capital intensive infrastructure planning mechanisms.

About the job

Responsibilities

• Work alongside Capacity, TI and DC planning to anticipate capacity constraints and implement efficiency gains that improve unit economics and overall profit and loss (P&L).
• Develop profit and loss and margin models to articulate margin drivers to the executive leadership.
• Develop NPV and cash flow models to evaluate profitability for future NPI platforms and benchmark against other competitive products.
• Partner with Engineering, TI, and PM to analyze the performance and Total Cost of Ownership (TCO) for AI Product SKUs, incorporating these insights into customer proposals.
• Partner with Cloud Product, Capacity and Engineering on various efficiency initiatives to utilize infra and develop next year efficiency goals.