Klarity (S18)
Automated RevRec & Billing Contract Review for enterprise.

Backend Engineer

San Francisco
Full-time
1+ years
About Klarity

Klarity (YCombinator S18) uses Natural Language Processing to automate contract review for Revenue Recognition. Our customers include multiple Public companies use Klarity to (1) save time and cost, (2) increase compliance through robust controls, and (3) ease the pain of contract review.

We have spent years working on our core NLP platform and recently decided to focus on the Revenue Recognition use case. Since then we’ve experienced extremely strong growth with Enterprise Software companies and have doubled our revenue in just the last 3 months.

About the role

Skills: Python

Klarity (tryklarity.com YC S18) uses Natural Language Processing to automate contract review for Revenue Recognition. Our customers include companies like Coupa, Okta, RingCentral, Optimizely, and Lattice and use Klarity to (1) save time and cost, (2) increase compliance through robust controls, and (3) ease the pain of contract review.

We are looking to add a brilliant Backend Engineer to our team in San Francisco (as engineer #5!).

We have spent years working on our core NLP platform and recently decided to focus on the Revenue Recognition use case. Since then we’ve experienced extremely strong growth and have doubled our revenue in just the last 3 months. We are looking for an incredibly capable, technical individual who can (a) take charge of onboarding new customers and (b) build features to streamline and automated the onboarding process. Your work will be absolutely critical to the company as our #1 blocker is meeting the levels of demand we're receiving. As such, compensation for this role will include a generous equity component.

Responsibilities:

  • Working closely with the CEO & CTO to onboard recently signed customers. This is a highly technical process.
  • Developing tools to automate large parts of the onboarding process for future customers.
  • Connecting our onboarding flow to our core NLP pipeline to bring customers to the point of full automation faster.

You will love this job if you:

  • Love solving open-ended operationally and technically complex problems.
  • Enjoy being in a high paced, customer-facing role.
  • Thrive in small, cross-functional teams. We are a tightly-knit team of lawyers and engineers, collectively speaking 10 languages!
  • Are excited to learn about cutting-edge advancements in NLP/ML.

Requirements:

  • 1-3 years prior Technical experience.
  • Strong engineering background and significant Python experience.
  • Excellent communication, presentation and interpersonal skills.
  • Strong work ethic and ability to operate with high velocity.

Technology

Cool Challenges: Using a mix of statistical and linguistic techniques to perform a high-accuracy information extraction task on "Legalese". Supercharging human lawyers by working closely with lawyers on the team and building useful tools that get deployed immediately. Constructing a robust document processing pipeline that allows for quick onboarding of new contract types and is adaptable to tagset changes.

Stack: Vast majority of the backend codebase is written in python with some internal tools built in javascript. Our Frontend is built in React.js. We use containerized (docker) microservices and host everything on AWS.

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