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

Lead Solutions 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 multiple public companies 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 first Solutions Engineer to our team in San Francisco (as employee #12!). You will be the founding member of the solutions engineering team!

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. We are looking for an incredibly capable and technical individual who can (a) take charge of onboarding new customers and (b) design processes and product optimizations to fuel even higher rates of growth. Your work will be absolutely critical to the company as our #1 blocker is servicing the strong demand we’re receiving.

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.

Responsibilities:.

  • Managing onboarding new customers and the document annotation workflow for existing customers.
  • Developing scripts/tools to automate the onboarding process.
  • Working alongside the LegalOps Team to streamline the document annotation process.

Requirements:

  • 1-3 years prior Technical/Ops 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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