Strategic Finance - Product, AI/ML and Analytics

About the role

We are seeking a senior strategic finance thought partner to help shape Snowflake's AI and Analytics workloads. This role will partner closely with Product, Engineering, Marketing, and Sales leadership to set strategy, evaluate growth bets, lead pricing and packaging decisions, and build the financial rigor that lets these workloads scale.

• Translate product usage, customer behavior, unit economics, and market signals into decisions on what we build, how we launch, how we monetize, and where we invest.
• Help define the growth model for a frontier AI product portfolio while working at the intersection of strategy, finance, and technology.

Requirements

• 8+ years of experience in investment banking, management consulting, strategic finance, product finance, growth finance, or buy-side investing, coupled with operating experience at a fast-paced, scaling technology company.
• Exceptional analytical and financial modeling skills, including building product profit and loss views, operating models, cohort and funnel analyses, pricing models, and unit economics that connect strategy to growth decisions.
• Strong business judgment and product instincts. Ability to evaluate opportunities, tradeoffs, and risks in a fast-moving product environment.
• A working understanding of AI and machine learning infrastructure and economics: model lifecycle, inference vs. training cost structures, AI commercial models.
• The ability to translate complex product, usage, customer, and financial data into clear recommendations for Product teams and senior leadership.
• A high attention to detail and a commitment to accuracy, paired with comfort making decisions when data is imperfect and the business is evolving.
• People management experience. Demonstrated track record of hiring, developing, and retaining strong analytical talent.
• Hands-on experience with AI and machine learning product economics at a high-growth company (foundation model provider, AI infrastructure, AI applications, or a major cloud's AI portfolio).
• Familiarity with consumption-based and usage-based pricing in cloud, data, or AI platforms.
• Experience building business cases and growth models for new product categories where commercial mechanics are not yet standardized.
• Experience with competitive AI pricing analysis and willingness-to-pay research.
• Python proficiency for data analysis.

Qualifications

• Bachelor's degree in Finance, Economics, Computer Science, Engineering, or related discipline. MBA preferred.

Benefits

• Medical, dental, vision, life, and disability insurance.
• 401(k) retirement plan.
• Flexible spending & health savings account.
• At least 12 paid holidays.
• Paid time off.
• Parental leave.
• Employee assistance program.
• Other company benefits.