Strategic Finance (Product, AI/Machine Learning, and Analytics)

Join Snowflake, a leading cloud data platform, as a Senior Strategic Finance Thought Partner. In this role, you will shape the company's AI and Analytics workloads, evaluate growth opportunities, lead pricing and packaging decisions, and build financial rigor for scaling these workloads. You will work closely with Product, Engineering, Marketing, and Sales leadership, translating data into strategic decisions and building business cases for major investments. This is a people manager role, where you will lead a small team of analysts and drive analytical rigor and executive communication.

• Serve as the strategic finance partner to product and engineering leaders, helping shape product strategy, growth priorities, pricing decisions, and investment tradeoffs.
• Own the forecast for AI and Analytics workloads, including revenue, usage, margin, unit economics, leading indicators, and the operating metrics that show where each workload is gaining or losing traction.
• Lead pricing and monetization strategy for AI workloads, setting pricing principles, packaging, metering, and commercial terms across inference, training, embedded models, and AI-native applications.
• Strong business judgment and product instincts. Ability to evaluate opportunities, tradeoffs, and risks in a fast-moving product environment
• Bachelor's degree in Finance, Economics, Computer Science, Engineering, or related discipline. MBA preferred
• 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
• People management experience. Demonstrated track record of hiring, developing, and retaining strong analytical talent
• High attention to detail and a commitment to accuracy, paired with comfort making decisions when data is imperfect and the business is evolving
• SQL fluency. Comfort working directly with product analytics datasets in a cloud data platform
• Working understanding of AI and machine learning infrastructure and economics: model lifecycle, inference vs. training cost structures, AI commercial models. Curiosity about how AI products change the pricing and packaging playbooks
• The ability to translate complex product, usage, customer, and financial data into clear recommendations for Product teams and senior leadership
• 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
• Effective communication. Capable of producing executive-quality narratives that survive Executive Leadership Team and Board review on first submission
• Experience supporting product teams on growth, pricing, packaging, monetization, or product strategy decisions, ideally in product-led growth, growth-stage software-as-a-service, consumption-based, or usage-based business models
• Python proficiency for data analysis
• Experience with competitive AI pricing analysis and willingness-to-pay research
• Experience building business cases and growth models for new product categories where commercial mechanics are not yet standardized
• Familiarity with consumption-based and usage-based pricing in cloud, data, or AI platforms
• 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)