Klarity (YC S18) is building the NLP platform of the future for document review. Scores of employees in every enterprise (Accounting, Deal Desk, Procurement, etc.) constantly review documents. Current solutions to this problem involve complex workflow software yielding only marginal benefits. Our vision is to eliminate human document review by developing a deep understanding of the content of documents. Finance and accounting teams at companies like Okta, Coupa, MongoDB and many others are relying on Klarity to review their revenue docs instead of humans. We’ve more than 3xd our ARR in the last 6 months and are on track to 5x in the next 12 months. We are a tightly-knit, fun-loving team of engineers, accountants and lawyers collectively speaking over 10 languages!We are looking to add a brilliant Senior Frontend Engineer (React.js) to our team. You will be the Engineer #6 and Frontend Engineer #2!Location : Onsite (San Francisco) or RemoteJob Type : Full-timeSkills : React.js, GraphQL, TypeScript, RESTful APIsYou will love this job if you:<ul><li>Thrive in small, cross-functional teams.</li><li>Enjoy building independently from scratch and owning a huge chunk of the codebase.</li><li>Have a strong passion for user experience and product design.</li><li>Enjoy owning the full feature lifecycle - customer calls, planning, design, building, testing and deployment.</li><li>Are excited to learn about cutting edge advancements in NLP/ML.</li></ul>Responsibilities will include:<ul><li>Leading the development of major new features in the Klarity Web App. For example advanced document visualization, automated user workflows.</li><li>Developing and testing new “power-user” features with our ops before deploying to customers. </li><li>Working with the CEO &amp; CTO to rapidly prototype new product ideas.</li></ul>Requirements:<ul><li>Strong experience developing modern web applications using React (with functional components) and TypeScript.</li><li>Experience working closely with designers and design tools (Figma, Zeplin etc).</li><li>An obsession with User Experience.</li><li>RESTful API design experience. The Klarity backend is built in Python.</li></ul>Nice-to-haves :<ul><li>Backend/Full-Stack Experience</li><li>Experience with testing, profiling and debugging frameworks.</li></ul>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.

Senior Frontend Engineer

Klarity (YCombinator 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, (2) increase compliance, and (3) ease the pain of contract review.We are looking to add a brilliant Solutions Engineer. You will be a 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. We’ve more than 3xd our ARR in the last 6 months and are on track to 5x in the next 12 months. We are looking for an incredibly capable, technical individual who can (a) take charge of onboarding new customers and (b) build internal and customer-facing product to automate onboarding flows. Your work will be absolutely critical to the company as our #1 blocker is servicing the strong demand we’re receiving.Klarity Tech Stack:Backend: PythonML Stack: GPT-3, BERT, PyTorch, AllenNLP, Spacy, AWS TextractFrontend: ReactArchitecture: Microservice (Docker)Datastore: MongoDB, S3CI/CD: Bitbucket -&gt; Jenkins -&gt; ECRDeployment: AWS ECS Fargate, EC2Job Type: Full-timeExperience: 1-3 yearsResponsibilities:Working closely with new customers throughout the onboarding process.Collaborating on product development to automate parts of the onboarding process.Coordinate with engineering, legal, and customer success teams and come up with solutions to handle incoming requests from customers.Designing and implementing integrations with customer 3rd party systems (Salesforce, Netsuite etc).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.Love working across the stack and owning a large part of the codebase.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:Passion for a world-class customer experienceStrong engineering background with 1-3 years prior technical experience.Significant Python backend experience.Excellent communication, presentation and interpersonal skills.Strong work ethic and ability to operate with high velocity.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.

Solutions Engineer

Klarity (YCombinator 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, (2) increase compliance, 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. We’ve more than 3xd our ARR in the last 6 months and are on track to 5x in the next 12 months. We are looking for a highly motivated individual who is passionate about our mission and can join our team to make significant contributions to our Machine Learning product. Automating our customer's contracts is absolutely critical to the company as our #1 focus is delivering high-quality machine learning extractions quickly!Backend: PythonML Stack: GPT-3, BERT, PyTorch, AllenNLP, Spacy, AWS TextractFrontend: ReactArchitecture: Microservice (Docker)Datastore: MongoDB, S3CI/CD: Bitbucket -&gt; Jenkins -&gt; ECRDeployment: AWS ECS Fargate, EC2Location: Onsite (San Francisco) Or RemoteJob Type: Full-timeExperience: 1-3 yearsResponsibilities:Work with a small team of ML engineers to build machine learning solutions to challenging real world problems such as:Finding relevant clauses for our customers in their legal documentsInformation Retrieval from documents with natural languageEntity Extraction (for example: effective date, duration, payment terms, parties etc.) from legal contractsVisual Document Information Extraction: Object Detection, Field Extraction from Documents with Variable StructureDocument Classification and ClusteringAccelerating high-quality Labeled Data Gathering.General ML Ops and Pipeline managementYou will love this job if you:Love solving open-ended operationally and technically complex problems.Love working across the stack and owning a large part of the codebase.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:Experience using deep learning frameworks such as PyTorch (or its derivatives such as HuggingFace or AllenNLP) or TensorFlow.Experience using common NLP libraries (NLTK, spaCy, Gensim).Strong engineering background with 1-3 years prior machine learning experience.Significant Python backend experience.Excellent communication, presentation and interpersonal skills.Strong work ethic and ability to operate with high velocity.Nice to haves:Interest in LinguisticsExperience working in LegalTechGeneral ML OpsWe 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.

ML Engineer

Klarity (YC S18) is building the NLP platform of the future for document review. Scores of employees in every enterprise (Accounting, Deal Desk, Procurement, etc.) constantly review documents. Current solutions to this problem involve complex workflow software yielding only marginal benefits. Our vision is to eliminate human document review by developing a deep understanding of the content of documents.Finance and accounting teams at companies like Okta, Coupa, MongoDB and many others are relying on Klarity to review their revenue docs instead of humans. We’ve more than 3xd our ARR in the last 6 months and are on track to 5x in the next 12 months. We are a tightly-knit, fun-loving team of engineers, accountants and lawyers collectively speaking over 10 languages!Security and Availability are incredibly important given the highly sensitive nature of the data we handle. We are looking to add a brilliant DevOps Engineer to our team. You will be the Engineer #6 and the first dedicated member of the DevOps team.Klarity Tech Stack:Backend: PythonML Stack: GPT-3, BERT, PyTorch, AllenNLP, Spacy, AWS TextractFrontend: ReactArchitecture: Microservice (Docker)Datastore: MongoDB, S3CI/CD: Bitbucket -&gt; Jenkins -&gt; ECRDeployment: AWS ECS Fargate, EC2Job Type: Full-timeSkills: Dev Ops, Sec Ops, AWS, CI/CDYou will love this job if you:Thrive in small, cross-functional teams.Enjoy building from scratch and want to own a huge chunk of the codebase.Are excited to learn about cutting edge advancements in NLP/ML.Are passionate about DevOps and Security.Responsibilities will include:Taking ownership of application infrastructure in AWS - EC2, ECS, S3, ELB etc. Preparing the application for massive scale.Taking ownership of the CI/CD and automated testing pipeline (Bitbucket, Jenkins, ECR, ECS).Creating automated processes to enforce Klarity’s InfoSec policies.A continuous focus on increasing developer velocity.Requirements:Strong prior experience working with AWS.Excellent understanding of CI/CD pipelines.Experience with infrastructure provisioning tools (Terraform, Ansible etc).Containerization and container deployment experience.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.

DevOps Engineer

Klarity (tryklarity.com YC S18) uses Natural Language Processing to automate document review. Our customers include companies like Coupa, Okta, RingCentral, Optimizely, and Lattice and use Klarity to (1) save time and cost, (2) reduce compliance risk, and (3) ease the pain of contract review.We are looking to add a brilliant Senior Backend Engineer to our team in San Francisco (as engineer #6!).We have spent years working on our core NLP platform and recently decided to focus on the Revenue Recognition use case. We’ve more than 3xd our ARR in the last 6 months and are on track to 5x in the next 12 months. We are looking for an incredibly capable, technical individual who can take broad ownership of existing and new backend functionality. Your work will be absolutely critical to the company as you will be building document and workflow features critical to sustaining our growth. As such, compensation for this role will include a generous equity component.Klarity Tech Stack:Backend: PythonML Stack: GPT-3, BERT, PyTorch, AllenNLP, Spacy, AWS TextractFrontend: ReactArchitecture: Microservice (Docker)Datastore: MongoDB, S3CI/CD: Bitbucket -&gt; Jenkins -&gt; ECRDeployment: AWS ECS Fargate, EC2Job Type: Full-timeExperience: 2-5 yearsResponsibilities:Working closely with the CTO to design and build and deploy new features.Managing the core API layer and database (MongoDB)System Architecture and Product Features (esp complex features like granular RBAC, Checklist Versioning, Automated Document Workflows)Application Performance and Monitoring: Latency Issues, Query Optimization etc.You will love this job if you:Love developing and owning a huge chunk of the codebase.Enjoy being in a high-paced, non-repetitive 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:3-5 years prior Backend experience.Significant Python experience.Prior experience with MongoDB and NoSQL database architecture concepts.Familiarity with AWS (ECS, EC2), Docker, and the basics of CI/CD.Excellent work ethic and ability to operate with high velocity.

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