Nanonets is transforming the way businesses work. Our AI platform takes the manual, messy, time consuming work — that bog down industries like finance, healthcare, supply chain, and more — and turns them into seamless, automated processes. What once took hours of human effort now takes seconds with Nanonets. Our client footprint spans across 34% of Fortune 500 enabling businesses across various industries to unlock the potential of AI in automating their business processes.
More than 10,000 businesses trust Nanonets because we don’t just promise efficiency — we deliver it with unmatched accuracy, seamless integrations.
In 2024, we raised a $29M Series B led by Accel with continued backing from Elevation Capital and YCombinator, fueling our mission to reshape entire industries through intelligent automation. With revenues tripling year over year and a rapidly scaling global team, we’re not just imagining the future of work — we’re building it.
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Roles & Responsibilities
- Ensure timely month-end closure of Books of Accounts.
- Oversee all aspects of accounting, including financial reporting, accounts payable and receivable, and general ledger.
- Drive budgeting and forecasting process, monitor, and analyze financial performance against goals, and provide recommendations for improvement.
- Provide financial insights to help management in decision making.
- Manage treasury, cash flow, and working capital.
- Work with cross-functional teams like Operations, HR, and Sales to manage payroll, process commissions, and ensure accurate and timely payouts to employees.
Qualification
- 2 - 4 years of professional experience with CA qualification.
- Strong knowledge of US GAAP and Indian Accounting Standards.
- Experience working at a top-tier startup - SaaS experience would be a bonus
- Willingness to get your hands dirty
- Ability to work in a fast-paced and ambiguous environment.
- Effective communication and interpersonal skills.
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What We Do
Nanonets enables self-service artificial intelligence by simplifying adoption. Easily build machine learning models with minimal training data or knowledge of machine learning.
At Nanonets, we serve up the most accurate models. Always.
