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

About Nanonets

Nanonets has a vision to help computers see the world starting with reading and understanding documents. Our product helps businesses automate document related workflows for enterprise office teams such as invoice data entry for AP teams, KYC automation for banks and insurance etc. Some of the companies we work with include Toyota, Boston Scientific, Bill.com and Entergy to name a few.

Here's a quick 1-minute intro video.

We recently raised a series A round of $10 million. Read the release here: https://venturebeat.com/2022/02/16/nanonets-lands-10-million-to-expedite-document-processing-with-ai/ We're operationally profitable, growing 20% MoM and are very healthy financially.

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.

Nanonets is currently on the lookout out for an AE in India, who'll spearhead expansion and close deals with global inbound leads. They would be our main point of contact for customers and manage relations with key accounts. They will be crucial to the Nanonets growth story.

Roles and Responsibilities:

1. Work with the Sales and Marketing teams on how to expand into markets
2. Be Nanonets voice in and the first person inbound leads talk to
3. Negotiate with and close deals, maintain excellent client relationships, and continually build opportunity pipeline
4. Identify potential customers and set approach strategies
5. Communicate with and manage existing accounts and resolve conflicts
6. Discover our customers' business needs and propose appropriate solutions
7. Track and coordinate all activities occurring for each account
8. Analyze marketing trends and predictions and researching market conditions to develop sales goals and marketing strategies
9. Develop plans to target new customers

Requirements and Skills:

1. 4+ years experience working in the enterprise tech space (fast paced environment + start-up experience is preferred)
2. Lives in the assigned territory
3. Proven experience in building successful pipelines
4. Ability to cold call on target markets (phone, email, events, etc)
5. Ability to articulate corporate message and value prop
6. Ability to close business
7. Able to manage multiple deals simultaneously
8. People skills, ability to connect and network anywhere
9. You know how to identify close steps
10. Previous sales experience in selling enterprise software
11. You can demonstrate previous sales success

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