Sr. Financial Analyst / Manager - R&D Finance
Partners with R&D teams to lead financial planning, forecasting, and analysis of spend including headcount, AWS cloud, and AI investments. Builds models for cloud economics, strategic insights, and board reporting; requires 4+ years finance experience with R&D exposure and AI experimentation.
Responsibilities
- Own R&D financial planning and analysis. Lead forecasting, budgeting, and variance analysis for R&D spend, including headcount, cloud infrastructure (AWS), tooling, and AI-related costs.
- Model and manage cloud & infrastructure economics. Build and maintain models that explain cloud costs, key usage drivers, unit economics, and scaling behavior; partner with technical teams to improve cost visibility and efficiency.
- Analyze and support AI investments. Evaluate and track AI-related spend (internal and vendor-based), assess ROI and trade-offs, and support decision-making as AI usage scales across the product and internal operations.
- Drive strategic insights for R&D leadership. Identify trends, risks, and optimization opportunities across R&D spend, translating complex cost drivers into clear recommendations for leadership.
- Develop scalable, decision-ready models. Build flexible models to support scenario planning, capacity planning, and long-term investment decisions tied to product growth and technical architecture.
- Support executive and board-level reporting. Prepare clear, concise materials that explain R&D performance, cloud and AI cost dynamics, and forward-looking implications for company strategy.
- Improve tools, processes, and data quality. Enhance forecasting accuracy, automate reporting where possible, and improve how R&D, cloud, and AI cost data flows into FP&A systems and decision-making.
Requirements
- 4-6+ years of accounting/finance-specific experience, with 2+ years of working with R&D orgs.
- Experience building bottoms-up and high-level financial models.
- Understanding of modern R&D organizations; ability to translate engineering, product, and infrastructure inputs into financial implications.
- Experience writing SQL is a plus.
- Background in Big 4 Accounting, Investment Banking, or Management Consulting with ownership of operating expense areas (ideally R&D or technical cost structures) is a plus.
- Actively experiment with AI in workflows for financial analysis, forecasting, and decision support.
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