Nanonets
Artificial Intelligence • SaaS • B2B
Nanonets is an AI-powered document automation and data-extraction platform (SaaS) that converts unstructured documents—invoices, purchase orders, receipts, ID documents, bills of lading, statements, etc. —into structured data and automates downstream workflows such as accounts payable, reconciliation, claims processing, and document approvals. The platform provides no-code workflow builders, learnable decision engines, API integrations with ERPs/CRMs, and enterprise-grade compliance (GDPR, SOC 2, HIPAA), and is positioned mainly for B2B customers and enterprises across finance, insurance, healthcare, logistics, and real estate.
51 - 200 employees
Founded 2017
🤖 Artificial Intelligence
☁️ SaaS
🤝 B2B
💰 $10M Series A on 2022-02
Deep Learning Analyst – Third-Party Payroll
October 23
Nanonets
Artificial Intelligence • SaaS • B2B
Nanonets is an AI-powered document automation and data-extraction platform (SaaS) that converts unstructured documents—invoices, purchase orders, receipts, ID documents, bills of lading, statements, etc. —into structured data and automates downstream workflows such as accounts payable, reconciliation, claims processing, and document approvals. The platform provides no-code workflow builders, learnable decision engines, API integrations with ERPs/CRMs, and enterprise-grade compliance (GDPR, SOC 2, HIPAA), and is positioned mainly for B2B customers and enterprises across finance, insurance, healthcare, logistics, and real estate.
51 - 200 employees
Founded 2017
🤖 Artificial Intelligence
☁️ SaaS
🤝 B2B
💰 $10M Series A on 2022-02
📋 Description
• Engage with customers to deeply understand their use cases, data, and automation goals. • Analyze model performance and identify improvement opportunities to enhance accuracy. • Work iteratively to optimize models and help customers achieve higher levels of automation. • Collaborate closely with the Product and Engineering teams to drive platform-level solutions. • Translate customer feedback into actionable insights and technical enhancements. • Ensure smooth, successful deployment and measurable business impact for every customer.
🎯 Requirements
• 2–4 years of experience as a Software Engineer, Data Engineer, Deep Learning Engineer, Data Scientist • Hands-on Python experience is a MUST have • SQL is a definitive plus • Strong analytical and troubleshooting skills • Curiosity, motivation, and a “figure-it-out” mindset • A B.Tech degree or equivalent technical background
🏖️ Benefits
• Flexible work arrangements • Professional development
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