Product Finance Analyst
The Product Finance Analyst will model product investments, AI and infrastructure economics, pricing, profitability, and long-range plans while partnering with Product, Engineering, GTM, and leadership. The role requires 3–5 years of relevant finance experience, strong modeling and SQL/BigQuery skills, and familiarity with SaaS economics.
About the job
Responsibilities
- Partner with Product and Engineering leaders to evaluate product investments, roadmap prioritization, and resource allocation.
- Build and maintain financial models for new products, AI usage economics, and infrastructure cost forecasting.
- Analyze product-level revenue performance, customer adoption trends, and margin drivers.
- Support pricing, packaging, and monetization analyses across SaaS and AI consumption-based offerings.
- Develop dashboards and KPI reporting for leadership reviews and operating cadences.
- Partner with GTM and Revenue Operations teams on customer profitability and expansion analyses.
- Drive annual planning, forecasting, and long-range strategic planning.
- Build cost-per-query models for LLM and cloud infrastructure spend and surface actionable optimization opportunities.
- Improve financial processes, reporting automation, and decision-making frameworks.
Requirements
- 3–5 years of experience in FP&A, strategic finance, investment banking, consulting, or product finance at a high-growth technology company.
- Strong financial modeling and analytical skills.
- Experience working cross-functionally with Product and Engineering organizations.
- Understanding of SaaS business models and cloud/software infrastructure economics.
- Strong SQL and BigQuery skills; experience with BI tools or financial planning systems is preferred.
- Strong communication and stakeholder management skills.
- Ability to thrive in a fast-paced and ambiguous environment.
- AI-first mindset, including active use of AI tools such as Glean, ChatGPT, or Cursor to automate analyses, draft models, and accelerate research workflows.
Nice to Have
- Familiarity with AI/LLM cost structures, usage-based pricing, or cloud infrastructure economics.
- Experience supporting product-led growth (PLG) or AI-native products.
- Knowledge of consumption-based revenue models and overage mechanics.
- Prior exposure to cloud cost allocation, including GCP, AWS, or Azure, or FinOps practices.
- Exposure to SQL and basic scripting to analyze large datasets and support data-driven decision-making.
- Startup or high-growth SaaS experience with end-to-end financial modeling and limited guidance.
Compensation & Benefits
- Compensation is determined by factors including location, level, job-related knowledge, skills, and experience.
- Certain roles may be eligible for variable compensation, equity, and benefits.
Skills
Financial Modeling, FP&A, SQL, BigQuery, SaaS, Cloud Economics, Ai/Llm Cost Structures, Usage-Based Pricing, Financial Planning, Business Intelligence, GCP, AWS, Azure, Finops, Scripting
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