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SuperAnnotate is a Series B AI data company that helps leading AI teams build responsible, next-generation models using high-quality human data. The company operates a global network of expert specialists, managed operations, and talent matching services, trusted by innovators like Databricks and ServiceNow, and backed by NVIDIA, Dell Technologies Capital, Databricks Ventures, Cox Enterprises, and Lionel Messi's Play Time VC.
You will join the Finance team as a Senior Financial Analyst, partnering closely with Finance leadership and cross-functional teams to build and strengthen the financial operating backbone as the company scales. This is a hands-on, high-impact role at a pivotal growth stage.
Key responsibilities include:
- Manage budgeting and forecasting cadence across the business, partnering with functional leaders to build accurate, transparent plans tied to operational execution
- Deliver actionable financial analysis including variance analysis, performance tracking, and ROI calculations to inform leadership decisions
- Support Commercial teams (Sales, Operations, Marketing) with pipeline forecasting, pricing/margin analysis, and GTM strategy decisions
- Build and maintain metrics dashboards and reporting frameworks that track KPIs and improve accountability
- Streamline financial processes through automation to reduce manual work and increase speed and accuracy
- Support strategic and ad hoc initiatives including scenario planning, board/investor-ready reporting, new product or market evaluations, and operational efficiency projects
The role involves taking existing financial models, processes, and foundations and making them more scalable and robust—sharpening how the company plans, measures performance, and connects financial outcomes to operational execution. You will become a trusted business partner deeply embedded in how SuperAnnotate thinks about growth, efficiency, and commercial strategy.
REQUIREMENTS:
- 3+ years of experience in financial analysis, FP&A, corporate finance, investment banking, consulting, or comparable analytical role
- Strong proficiency in financial modeling, forecasting, budgeting, and variance analysis; ability to build models from scratch and improve existing ones
- Solid accounting fundamentals and understanding of accrual accounting, revenue recognition concepts, and financial statement flows
- Advanced Excel / Google Sheets skills; ability to work efficiently with large, messy datasets and produce clean outputs
- Strong written and verbal communication skills
NICE TO HAVE:
- Experience working in SaaS, marketplace, AI, or data-driven businesses
- Exposure to SQL, Python, or BI tools
- Prior experience in high-growth startup or scale-up environments
