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

Remote / Online - Candidates ideally in
Menlo Park, San Mateo County, California, 94029, USA
Listing for: Snowflake
Remote/Work from Home position
Listed on 2026-08-02
Job specializations:
  • Finance & Banking
    Financial Analyst
Salary/Wage Range or Industry Benchmark: 250000 - 360000 USD Yearly USD 250000.00 360000.00 YEAR
Job Description & How to Apply Below
Position: Strategic Finance (Product, AI/Machine Learning, and Analytics)
  • We are hiring a senior strategic finance thought partner to help shape Snowflake’s AI and Analytics workloads, the company’s fastest-growing and most strategically complex product surface
  • You 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
  • You will 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
  • You will help define the growth model for a frontier AI product portfolio while working at the intersection of strategy, finance, and technology
  • This is a people manager role
  • Strategic Finance Thought Partnership. 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
  • Forecast and Performance Ownership. 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
  • Pricing and Monetization Leadership. 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. Bring willingness-to-pay research, competitive benchmarks, and unit economics into pricing decisions. Land emerging AI commercial structures as they graduate from incubation to scaled go-to-market
  • Translate Data Into Decisions. 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 calls
  • Investment Business Cases. Build decision‑ready business cases for major AI and Analytics product and go‑to‑market investments. Return on investment, investment sizing, risk framing, comparative tradeoffs
  • Build Planning and Performance Systems. Build the forecast methodology, key performance indicator architecture, decision frameworks, executive narratives, and repeatable reporting that help the team move faster as the workloads scale
  • People Leadership. Manage and develop a small team of analysts. Set the bar for analytical rigor, executive communication, and product judgment. Cultivate a team that operates as a credible thought partner to Product and Engineering
  • Market Intelligence. Stay current on AI, software‑as‑a‑service, product‑led growth, consumption‑based pricing, and competitive dynamics. Inform where Snowflake should invest in AI workloads and how the business model should evolve as AI changes the playbooks
  • Executive Narratives. Prepare and deliver high‑quality executive and Board materials that connect business performance, product strategy, key risks, and strategic recommendations
Benefits
  • Comprehensive health insurance plans
  • Health savings accounts
  • Robust retirement plans
  • Life and disability insurance
  • Weekly online lunch and learns
  • Virtual workout classes
  • Ergonomic work‑from‑home equipment
  • On‑demand mental health and wellness programs
  • Fertility benefits and family planning resources
  • Generous time‑off and various leave plans
  • Onsite and Remote Work
  • Employee discounts and pre‑tax selections
  • New hire equity + Employee Stock Purchase Plan (ESPP)
  • Quarterly bonus or commission program

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 preferred8+ 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…

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