VP Engineering at Klarity (S18)
Automated RevRec & Billing Contract Review for enterprise.
San Francisco
11+ years
About Klarity

Klarity (Y Combinator 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

Who are we and What we do

Join us on our mission to use ML to save humanity from drowning in paperwork. At Klarity (YC S18), we’re already saving thousands of hours for companies like Coupa, MongoDB and Okta that were previously spent on reading documents to extract data. We’re building a future where all documents are seamlessly turned into structured data that are fed into existing systems. In the last 6 months, we’ve more than 3xd our ARR and are on track to 5xing over the next 12 months. 

Having just raised an $18m Series A led by Tola Capital, our #1 focus is building a phenomenal senior leadership team. If you are excited about a future where people don’t have to review documents, we want to hear from you!

About the Job

You will be the VP of engineering and own the development of Klarity’s core RevRec product. You will be responsible for building a phenomenal Engineering team with a culture of customer obsession and engineering excellence.

We are looking for an entrepreneurial Engineering Leader- someone who thrives in a fast-paced, ever evolving environment. You’ll spend your time designing, architecting and building product, mentoring your team, hiring, working with customers and strategically partnering with groups across the organization.

Your expertise will be pivotal in building a cutting-edge and high quality enterprise product that delights our customers. This is a critical position in the company and you’ll be reporting directly to the CTO/Co-founder and work closely with the rest of the leadership team. We are looking for someone with insane ambition who is up for the challenge of building a massive public company. 

Location: Klarity’s HQ in San Francisco


Your Mission:

  • Coaching and mentoring direct reports and the broader engineering team.

  • Building and managing a high quality engineering hiring pipeline.

  • Building a stellar engineering culture of curiosity and continuous improvement. 

  • Rapidly adding new functionality to Klarity’s core RevRec product while maintaining product stability.

  • Providing technical leadership on product design and systems architecture. 

  • Working closely with Senior Leadership and customers in defining the product roadmap.

  • Ensuring our services function seamlessly, have minimal downtime, and recover quickly.

You are: 

  • A passionate coach who is deeply invested in the success of those on your team.

  • A strong product thinker who obsesses about customer experience and works backwards from their needs.

  • Someone who leads by context rather than control to bring out the best in those around you. 

  • Able to thrive in diverse domains (AI, finance & accounting) and take initiative in building new processes from scratch. 

  • Highly self-aware and committed to personal development and learning.

  • An excellent technologist who is able to “Zoom in” and dive into the weeds or “Zoom out” to think big picture systems architecture. 

  • Driven and determined to achieve results, while maintaining a strong sense of integrity.

Your experience

  • 10+ years' experience working in the engineering discipline.

  • 5+ years experience managing people.

  • Extensive experience designing and shipping high quality enterprise SaaS products.

  • Multiple years’ experience building and running Engineering hiring pipelines.

  • Detailed knowledge of public cloud infrastructure (AWS, GCP or Azure) and the scalability, security and availability considerations of SaaS products.

  • Bachelor's degree in Computer Science or a related field, or equivalent experience.

Extra Awesome

  • Experience with information extraction NLP techniques and ML data pipeline

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status.


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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