Strategic Finance

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.