Senior Accountant
About the role
Senior Accountant responsible for day-to-day corporate accounting, month-end close, internal controls, and system/process improvements to support Scale AI’s growth, including collaboration with international entities.
Responsibilities
- Prepare journal entries and day to day corporate accounting activities, support the month end close process, and provide timely and accurate month-end close financials that are U.S. GAAP compliant
- Build or enhance balance sheet account reconciliation workpapers and perform clean-up of historical reconciliations and related balances
- Collaborate within Accounting and Finance teams on metrics, flux analysis, forecast, and projections and support preparation of the monthly reporting package
- Prepare documents supporting internal and external audits and ensure successful completion of those audits
- Support the implementation of new systems, tools, and processes to streamline close and build scalable solutions
- Identify and drive process improvements to gain efficiencies and reduce close timeline
- Develop, maintain and improve internal controls which relate to assigned areas
Qualifications
- Bachelor’s degree in Accounting
- CPA or in progress preferred
- 3+ years of relevant accounting experience (public accounting and industry preferred)
- Strong knowledge of U.S. GAAP
- Experience with general ledger functions and month end/year end close
- Experience with financial audit preparation
- Proficiency in Microsoft Office, highly proficient in Excel
- Excellent written and verbal communication, analytical and organizational skills
- Excellent problem solving skills; project management experience a plus, ability to work in a fast-paced environment
Skills
Benefits
- comprehensive health, dental and vision coverage
- retirement benefits
- learning and development stipend
- generous PTO
- commuter stipend (eligible)
About Scale AI
Data-centric infrastructure to accelerate the development of AI
Scale accelerates the development of AI within organizations of any size to deliver critical business insights and operational efficiency. Its data-centric infrastructure platform leverages RLHF (Reinforced Learning with Human Feedback) to help organizations build the strongest AI models that supercharge their business, with customers across industries including Meta, Microsoft, U.S. Army, DoD’s Defense Innovation Unit, Open AI, General Motors, Toyota Research Institute, Brex, Instacart and Flexport.
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