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.

Klarity (YCombinator S18) uses Natural Language Processing to automate document review for Finance and Accounting teams. Klarity solves the problem of messy and incomplete data in systems like Salesforce and Netsuite. Our customers include companies like Coupa, Okta, RingCentral, Optimizely and Lattice and use Klarity to (1) save time, (2) increase compliance, and (3) ease the pain of contract review. 

We are looking to add a brilliant, entrepreneurial Product Manager. You will be the very first Product Manager at Klarity!

We have spent years working on our core NLP platform and found a product market fit by focusing on the Revenue Recognition use case. We’re experiencing hypergrowth and raised an $18Mn in Dec 2021. We’ve grown our Eng team considerably and are looking for a highly driven Product Manager to accelerate product development. 

Our product straddles multiple domains - Enterprise software systems (CRM, ERP etc), advanced ML/NLP, Finance/Accounting compliance - making for a complex, multi-stakeholder product development lifecycle. If you’re someone who thrives in this kind of complexity and excels at distilling multifaceted problems to their essential elements, then you are just the person for the job!

Location : Onsite (San Francisco Bay Area) Or Remote

Job Type : Full-time

Experience : 4-7 years

Responsibilities:

• Rally cross-functional teams to work together towards a common goal; oversee many moving parts to ensure deliverables are met on time.

• Execute with the founders on the product vision.

• Working with CTO & VP Eng to define product roadmap, project plan, quarterly plan.  

• Write detailed specs, manage project execution, and define product roll-out strategy.

• Conserving engineering focus and productivity by prioritizing emerging requests and driving sprint velocity.

• Driving product alignment throughout the organization through release updates, roadmap, documentation etc. 

• Interfacing with customers to understand product usage and emerging needs; user research and user testing.

• Working with the Exec team and (in future) product marketing function to build customer-facing product narrative.

You will love this job if you:

• Love solving open-ended operationally and technically complex problems.

• Enjoy working closely with many different teams and disciplines.

• Enjoy grappling with ambiguous problem statements and making them precise.

• Are excited to learn about cutting edge advancements in NLP/ML.

• Enjoy being in a high paced, customer-facing role.

Requirements:

• 5-7 years previous B2B Product Management experience, specifically building and scaling enterprise SaaS products. 

• Experience building deeply technical products that require a detailed understanding of the large enterprise business processes

• Excellent technical project management skills to effectively manage multiple projects in parallel

• Strong familiarity with core software development concepts and interfacing closely with engineering.

• Strong organizational skills that allow you to set and stick to timelines on the roadmap.

• Excellent cross functional communication and presentation skills

• Strong work ethic and ability to operate with high velocity.

• Intuition for ML/NLP concepts is a big plus.  

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.