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Salary: USD 120,000 - 145,000 / annual
CommerceIQ is building an AI platform that powers commerce for Fortune 100 brands, shipping AI agents for content, media, and sales into enterprise workflows. The company serves 2,200+ customers including Coca-Cola, Nestlé, Colgate-Palmolive, Mondelez, Samsung, and Kellogg's, with 10 of the top 12 CPG companies as clients. Backed by SoftBank and Insight Partners, the company is pre-IPO and headquartered in Mountain View with teams across the US, India, Canada, and the UK.
As a Financial Analyst, you will be a key partner to business teams, transforming data into actionable insights that guide planning, investment, and growth strategy. You will own recurring financial reporting and forecasting, support budgeting processes, and analyze the numbers driving the business. Your work will directly influence decisions across Sales, Customer Success, Product, and Engineering.
Key responsibilities include:
- Building and maintaining financial models, forecasts, and budgets covering ARR, bookings, revenue, and operating expenses
- Preparing monthly, quarterly, and annual financial reports with variance analysis and executive commentary
- Partnering with department leaders on headcount planning, spend tracking, and budget-to-actual reviews
- Tracking, maintaining, and analyzing KPIs across the organization
- Supporting the month-end close process in collaboration with Accounting
- Creating board and executive materials that clearly communicate performance
- Identifying opportunities to automate reporting and improve data quality across systems
- Conducting ad hoc analysis to support faster decision-making
Requirements:
- Bachelor's degree in finance, accounting, economics, or related field
- 2–4 years of experience in FP&A, corporate finance, investment banking, or similar analytical role, ideally at an AI or technology company
- Advanced Excel and Google Sheets skills with strong financial modeling capabilities
- Solid understanding of three-statement models, budgeting, and forecasting
- Clear communication skills with ability to explain complex financial concepts to non-finance stakeholders
- Strong attention to detail and comfort working with large datasets
- Curiosity and bias toward action in a fast-paced environment
