# Strategic Finance

**Company:** [Snowflake](https://hotfix.jobs/companies/snowflake)
**Location:** Menlo Park, CA
**Role:** Revenue Operations
**Salary:** $204k – $255k/yr
**Experience:** 8+ years
**Skills:** SQL, Python, Financial Modeling, Unit Economics, Pricing Strategy, ai/ml economics, Forecasting, business case development, cohort analysis, funnel analysis
**Posted:** 2026-07-14

> Senior people manager partnering with Product, Engineering, and leadership to shape Snowflake's AI/ML and Analytics strategy, pricing, monetization, forecasting, and investments. Requires 8+ years in strategic/product finance or consulting, strong modeling/SQL skills, AI economics knowledge, and prior management experience.

## Job Description

## Responsibilities
- Serve as the strategic finance partner to Cortex, Notebooks, Machine Learning, and Analytics product and engineering leaders. Help 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 operating metrics.
- Lead pricing and monetization strategy for AI workloads. Set pricing principles, packaging, metering, and commercial terms across inference, training, embedded models, and AI-native applications. Incorporate willingness-to-pay research, competitive benchmarks, and unit economics.
- Translate product usage, customer behavior, cohort and funnel dynamics, and financial data into clear recommendations that influence long-term strategy and day-to-day product decisions.
- Build decision-ready business cases for major AI and Analytics product and go-to-market investments, including ROI, sizing, risk framing, and tradeoffs.
- Build forecast methodology, KPI architecture, decision frameworks, executive narratives, and repeatable reporting.
- Manage and develop a small team of analysts. Set the bar for analytical rigor, executive communication, and product judgment.
- Stay current on AI, SaaS, product-led growth, consumption-based pricing, and competitive dynamics to inform investment and business model evolution.
- Prepare and deliver high-quality executive and Board materials connecting business performance, product strategy, risks, and recommendations.

## Requirements
- 8+ years of experience in investment banking, management consulting, strategic finance, product finance, growth finance, or buy-side investing, plus operating experience at a fast-paced, scaling technology company.
- Experience supporting product teams on growth, pricing, packaging, monetization, or product strategy decisions, ideally in product-led growth, growth-stage SaaS, consumption-based, or usage-based models.
- Exceptional analytical and financial modeling skills, including product P&L views, operating models, cohort and funnel analyses, pricing models, and unit economics.
- Strong business judgment and product instincts to evaluate opportunities, tradeoffs, and risks in a fast-moving product environment.
- Working understanding of AI and machine learning infrastructure and economics: model lifecycle, inference vs. training cost structures, AI commercial models. Curiosity about how AI changes pricing and packaging.
- Ability to translate complex product, usage, customer, and financial data into clear recommendations for Product teams and senior leadership.
- High attention to detail and commitment to accuracy, with comfort making decisions in imperfect, evolving data environments.
- People management experience with a track record of hiring, developing, and retaining strong analytical talent.
- SQL fluency and comfort working directly with product analytics datasets in a cloud data platform.
- Effective communication skills for producing executive-quality narratives.
- Bachelor's degree in Finance, Economics, Computer Science, Engineering, or related discipline. MBA preferred.

## Nice-to-Haves
- Hands-on experience with AI and machine learning product economics at a high-growth company (foundation model provider, AI infrastructure, AI applications, or major cloud 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 with non-standardized commercial mechanics.
- Experience with competitive AI pricing analysis and willingness-to-pay research.
- Python proficiency for data analysis.

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