Nanonets has a vision to help computers see the world starting with reading and understanding documents. Machine Learning (ML) is no longer a futuristic concept—it's a present-day powerhouse transforming the business landscape. Nanonets is at the forefront of this transformation, offering innovative ML solutions designed to make document related processes faster than ever before.
From automating data extraction processes to enhancing reconciliation, our solutions are designed to revolutionize workflows, optimize operations, and unlock untapped potential for our clients. Our client footprint spans across brands such as Toyota, Boston Scientific, Bill.com and Entergy to name a few enabling businesses across a myriad of industries to unlock the potential of their visual and textual data
We recently announced a series B round of $29 million in funding by Accel and are backed by the likes of existing investors including Elevation Capital & YCombinator. This infusion of capital underscores our commitment to driving innovation and expanding our reach in delivering cutting-edge AI solutions to businesses worldwide.
Read about the release here:
https://techcrunch.com/2024/03/12/nanonets-funding-accel-india/amp/
We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity.
Nanonets is proud to be an equal opportunity workplace dedicated to pursuing, hiring, and retaining a diverse workforce.
We're looking to hire a rockstar Customer Success Manager to delight our customers with their expertise of the product and ability to build deep relationships with them.
What you'll do TLDR - Manage Customer Expectations, Be Customers voice for internal stakeholders
> Primary KPI - Net Revenue Retention - (What is NRR - )
You will thrive in this role if you :
Good to Have:
Work Culture at Nanonets
We follow a hybrid work model, with most teams coming into the office twice a week. It helps us stay collaborative, connected, and aligned — while still giving space for deep, focused work.
Automatic Data Extraction
Salary
$80,000 - $140,000
Location
Remote
Experience
3+ years
Total raised
$10.0M
Last stage
Seed
Investors
Prathamesh Juvatkar
Sarthak Jain
LinkedInNo applications, no recruiter spam. Just the intro.
A few questions to make sure this role is the right shape for you. Two minutes.
I write the intro, send it to the founder, and handle the back-and-forth.
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.