Strategic Finance Lead for AI and Analytics Growth

Snowflake

Menlo Park (CA)

On-site

USD 250,000 - 320,000

Full time

14 days+

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Job summary

Snowflake hires a senior strategic finance thought partner to shape AI and Analytics workloads, the company’s fastest‑growing and most strategically complex product surface. You will partner with Product, Engineering, Marketing, and Sales to set strategy, evaluate growth bets, lead pricing and packaging decisions, and build the financial rigor that lets these workloads scale.

You will translate product usage, customer behavior, unit economics, and market signals into decisions on what we build,

Qualifications

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.
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.
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.
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.
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.
SQL fluency. Comfort working directly with product analytics datasets in a cloud data platform.
Effective communication. Capable of producing executive‑quality narratives that survive Executive Leadership Team and Board review on first submission.
Bachelor's degree in Finance, Economics, Computer Science, Engineering, or related discipline. MBA preferred.

Responsibilities

Partner with Product, Engineering, Marketing, and Sales to set AI/Analytics 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.
Build decision‑ready business cases for major AI and Analytics product and go‑to‑market investments; support ROIs, sizing, and risk framing.
Lead pricing and monetization strategy for AI workloads, including packaging, metering, and commercial terms across models and applications.
Translate product usage, customer behavior, cohort and funnel dynamics, and financial data into clear recommendations for long‑term strategy and day‑to‑day product calls.
Build planning and performance systems: forecast methodology, KPI architecture, executive narratives, and repeatable reporting.
Manage and develop a small team of analysts; cultivate a team that acts as a credible thought partner to Product and Engineering.
Stay current on AI, SaaS, consumption‑based pricing, and competitive dynamics to inform investment decisions and business model evolution.
Prepare and deliver executive and Board materials connecting performance, strategy, risks, and recommendations.