Nanonets is automating document information extraction using AI. We are headquartered in San Francisco. We are backed by prestigious investors from bay area like Y-Combinator, SV Angels, Sound Ventures by Ashton Kutcher. We are currently profitable and growing at a fast pace and looking to expand our team.

We are building a product that lets companies automate extracting key information from documents like invoices, receipts, or any other kind of document and integrate it into their workflows saving manual work. We need to keep building features that will let users automate millions of documents of different kinds every day, feed them to our AI for learning, plug our API to external systems like salesforce, quickbooks, RPA providers etc.

You should check it out at https://app.nanonets.com

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 - https://www.smartkarrot.com/resources/blog/net-revenue-retention/)

• Engage with customers right after the contract is closed and technical integration is completed
• Understand customer requirements, and clearly articulate it to the technical team
• Clearly call out any deviations from the requirements (to the customer and internal teams)
• Write PRDs for internal teams to work on
• Create and implement customer success plans with detailed timelines, KPIs, challenges, and SLAs.
• Travel approximately 15% of the time to develop and nurture customer relationships and gain a deep understanding of their business goals and needs.
• Anticipate at-risk renewals or potential churn, and collaborate with relevant internal teams to develop corrective action plans.
• Serve as the single point of contact (SPOC) for all daily and weekly customer communications.
• Maintain and prioritize the backlog and enhancement requests across multiple customers.
• Relay customer feedback to internal teams and coordinate with them to drive necessary improvements.
• Foster customer advocacy by facilitating testimonials, case studies, and reference programs.

You will thrive in this role if you : 

• Have at least 2 years of stakeholder management experience (Sales / Consulting / Account Management).
• Have strong verbal and written communication skills, along with excellent conflict management and resolution abilities.
• Are highly skilled at building deep relationships with CXOs and leadership teams.
• Can clearly and confidently communicate technical concepts to both customers and internal stakeholders.
• Operate with a high level of ownership and intensity, possess strong problem-solving skills, are comfortable with frequent context switching, can manage multiple projects simultaneously with expansive ownership, and ruthlessly prioritize.

Good to Have: 

• Proven track record of leading projects.
• Exceptional verbal and written communication skills, including the ability to engage both technical and non-technical audiences, and to communicate effectively with individual contributors, management, and executive leadership.
• Strong communication skills with a distinctive ability to empower and influence others, even without formal authority or a direct reporting relationship.

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.

Some of the interesting things our backend team has shipped

• Compile python code into C which could be imported into golang and then shipped as binary for on premise systems
• Autoscale GPU dependent services with kubernetes with a custom metric
• Displaying machine learning metrics in simplified ways to end users so they can act based on those metrics
• Building large number and variety of integrations with relatively generic interface like salesforce, quickbooks, RPA's, external databases
• Process large number of files in highly distributed manner in golang

Some of the interesting things our frontend team has shipped

• Ability for users to annotate documents so AI can learn which fields to extract
• Displaying machine learning metrics in simplified ways to end users so they can act based on those metrics
• Letting users build complex visual workflows around our API in our product.
• Let users visualize complex ML metrics in a very simple and intuitive way

Our stack:

• Databases
  • Cassandra DB
  • Postgres/MySQL
• Backend
  • Golang for API and other microservices
  • Python for Machine learning (Tensorflow, Pytorch)
• Frontend
  • React, Typescript
  • Mobx
• Cloud Providers
  • AWS
  • GCP for ML heavy workload
• Monitoring/Alerting
  • ELK for logging
  • Prometheus for Monitoring
  • Graphana for dashboards
• Orchestration
  • Kubernetes
• DevOps
  • Jenkins for CI/CD