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. Our product helps businesses automate document related workflows for back-office teams such as invoice data entry for AP teams, KYC automation for banks and insurance etc.

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.

What you'll do :

TLDR - Manage Customer Expectations, Be Customers voice for internal stakeholders

**Primany 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 to get the technical integration done
• 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
• Ensure Hygiene requirements (data availability, final output format etc for Activation)
• Be the SPOC for all daily / weekly communications with the customers
• Plan with internal stakeholders and communicate clear timelines via Gantt Charts / Excel documents / presentations
• Maintain and prioritise the backlog, enhancement requests across multiple customers
• Ensure end to end testing of the workflow and output before releasing it to the customer

Required Qualifications / Need to Have:

• 3 years of Stakeholder Management Experience (Sales / Consulting / Account Management)
• Good Verbal and Written Communication
• Excellent conflict management and resolution skills

Good to Have:

• Ability to Manage relationships
• Proven track record of leading projects
• Exceptional verbal and written communication skills, including the ability to work with technical and non-technical audiences; as well as communicate effectively to individual contributors, management, and executive leadership
• Strong communications skills, with the distinctive ability to empower and influence people without authority or a direct reporting relationship.

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