Full-Time

Talent Acquisition Manager

Talent Acquisition

Posted on 9/22/2025

Nanonets

Nanonets

201-500 employees

AI-driven OCR-based document processing platform

No salary listed

India

Hybrid

Three days on-site per week required.

Category
People & HR (3)
, ,
Required Skills
Data Analysis
Requirements
  • 4–6 years of full-cycle recruiting experience in SaaS, product, other high-growth tech environments, or with reputable recruitment agencies
  • Proven track record hiring across Engineering, Deep Learning, GTM, and Business functions.
  • Strong sourcing abilities with a knack for engaging passive candidates.
  • Excellent communication, stakeholder management, and negotiation skills.
  • Data-driven approach—comfortable analyzing recruiting performance and acting on insights.
  • Experience with Greenhouse ATS is a definite plus.
  • Familiarity with recruitment tools like LinkedIn Recruiter and AI-driven sourcing methods is an advantage.
Responsibilities
  • Run the end-to-end hiring process across technical and non-technical roles, making sure every candidate has a smooth and positive experience.
  • Work closely with hiring managers and leadership to understand team needs and turn them into clear role requirements.
  • Build strong pipelines through creative sourcing and proactive outreach, not just waiting for inbound applicants.
  • Own recruiting operations—coordinate debriefs, manage offers and negotiations, and keep processes moving without bottlenecks.
  • Track key recruiting metrics (time-to-fill, offer acceptance, funnel conversion) and share insights that drive smarter decisions.
  • Continuously improve processes and look for ways to use automation or AI to speed things up and improve quality.
  • Contribute to employer branding efforts and help us tell the Nanonets story to potential candidates.
  • Mentor and support junior recruiters or interns, helping them grow into stronger contributors.

Nanonets provides an AI-driven platform for intelligent document processing that automates data extraction from unstructured documents to produce actionable insights. It uses Optical Character Recognition (OCR) and deep learning to extract information from a wide range of document types, and offers an API to integrate with existing business systems for seamless workflow automation. Compared with others, Nanonets combines high-accuracy AI-based extraction with flexible, usage-based pricing that scales from small businesses to large enterprises across finance, healthcare, and logistics. The company aims to help organizations automate document-heavy processes by turning unstructured data into structured, usable information.

Company Size

201-500

Company Stage

Series B

Total Funding

$40.5M

Headquarters

San Francisco, California

Founded

2017

Simplify Jobs

Simplify's Take

What believers are saying

  • Revenue doubles yearly to $21M, driven by US finance automation like accounts payable.
  • Series B $29M funding from Accel in March 2024 fuels product improvements.
  • Sage Intacct partnership automates financial documents, cutting manual entry.

What critics are saying

  • OpenAI GPT-4o erodes OCR moat with 95% accuracy in-house solutions now.
  • Google Cloud Document AI v2.0 competes directly with Sage integration since Q1 2026.
  • Hyperscience captures 40% finance AP market via superior compliance features.

What makes Nanonets unique

  • Nanonets automates data extraction using OCR and deep learning for unstructured documents.
  • Custom AI models built by uploading samples or pre-trained templates for finance and HR.
  • Multi-format support via drag-and-drop, email, API for flexible workflow integration.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Company Equity

Hybrid Work Options

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-1%

2 year growth

3%
NanoNets
Aug 19th, 2024
Nanonets announces partnership with Sage

By integrating Nanonets' advanced AI capabilities with Sage Intacct's robust financial management platform, businesses will benefit from a seamless, automated solution for managing financial documents, reducing manual data entry, and enhancing overall productivity.

YourStory
Aug 2nd, 2024
Nanonets Secures $29M to Automate Tasks

Nanonets, an AI automation platform, secured $29 million in a Series B funding round led by Accel, with participation from Elevation Capital, Y Combinator, and others. The San Francisco and Bengaluru-based startup, founded by Sarthak Jain and Prathamesh Juvatkar, focuses on automating tedious tasks for finance, legal, and procurement teams. Despite increased competition, Nanonets has been doubling its revenue year-on-year, primarily from the US market, by automating finance processes like accounts payable and reconciliation.

NanoNets
Jun 13th, 2024
Best Reconciliation Software 2024

Nanonets has developed Nanonets Reconciliation AI tool just for you!

NanoNets
May 28th, 2024
Last Look: D365 Business Central vs. D365 Finance and Operations

For example, Nanonets integrates with Microsoft D365 to offer improved AP automation tools that build upon Microsoft's sturdy foundation.

intelligence360
Mar 21st, 2024
Nano Net Technologies Dba Nanonets Has Filed A Notice Of An Exempt Offering Of Securities To Raise $29,279,129.00 In New Equity Investment.

Nano Net Technologies dba Nanonets has filed a notice of an exempt offering of securities to raise $29,279,129.00 in New Equity Investment. Nano Net Technologies dba Nanonets has filed a notice of an exempt offering of securities to raise $29,279,129.00 in New Equity Investment.According to filings with the U.S. Securities and Exchange Commission, Nano Net Technologies dba Nanonets is raising up to $29,279,129.00 in new funding. Sources indicate that as part of senior management Chief Executive Officer, Sarthak Jain played a key role in securing the recent investment.About Nano Net Technologies dba NanonetsNanonets 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

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