Eng - Senior Staff Engineer In Office (San Francisco, CA) - S27a

Staff Software Engineer

Experience: 8-12 years

Location: San-Francisco/Bay-Area (relocation bonus available)

Job Type: Full-time

About Klarity

Klarity (YC S18) automates Unstructured-Document workflows using GenAI. Our vision is a future of Exponential Organizations - companies that can hyper-scale without vast operational teams of humans reading documents.

Our customers include companies like Cloudflare, CrowdStrike, DoorDash, and Zoom. They use Klarity to 1) save time and money, 2) reduce compliance risk, and 3) speed up manual contract review.

We found strong Product Market Fit in 2020 and just raised a$70m Series B in June 2024. We are looking to add a brilliant, entrepreneurial AI Staff Software Engineer to the team!

Our Gen AI journey:

Founded in 2017, we shipped multiple NLP/ML product iterations pre-chatGPT. In 2023 we rebuilt our core AI platform using GenAI.

We have more than 15 unique LLM use-cases in production with 10+ LLMs under the hood. We have shipped multiple first-of-its-kind customer experiences including video workflow analysis, natural language analytics, complex table parsing, and table-matching. To date, we have processed 600,000+ documents through our GenAI platform.

You will enjoy this role if:

1. You tinker: you embrace AI mindset and constantly seek AI technologies to solve different problems.
2. You are obsessed with AI and frequently spend your free-time thinking about how AI will change the world.
3. Growth mindset: You will seek out uncomfortable experiences in service of your own growth.
4. You’re seeking a culture of breakneck iteration and constant change.
5. You thrive in finding creative solutions to ambiguous problem statements.
6. You’re not indexing on work-life balance; You prefer an environment of like-minded, ultra-committed AI people.
7. You enjoy close collaboration, care about people and want to build strong bonding with your teammates.

In this role, you will:

• Design, develop, and deploy robust, scalable full-stack software systems to solve complex business problems.
• Work closely with product, design, and other engineering teams to uncover requirements and deliver high-quality features.
• Write, review, and maintain clean, maintainable Python code, ensuring best practices and coding standards are followed.
• Continuously monitor and improve the performance, reliability, and scalability of cloud-native software systems.
• Keep up to date with the latest advancements in software engineering tools and methodologies, particularly as relates to AI and LLMs.
• Provide technical leadership and mentorship to junior engineers, fostering a culture of learning and growth.

Qualifications:

• Demonstrated expertise in developing production-grade Python applications and building scalable, enterprise-grade software systems.
• Proven track record of delivering complex full-stack features, from backend services to responsive user interfaces.
• Experience mentoring engineers and raising the bar for technical excellence.
• Ability to hold strong opinions but remain humble and flexible, always open to learning and adapting.
• Strong analytical and problem-solving skills, with the ability to navigate through complex technical challenges.
• Excellent communication and interpersonal skills, with a collaborative approach to working with cross-functional teams.
• A passion for building innovative software solutions that drive business impact.

Benefits:

• Equity in addition to cash compensation.
• Medical, Dental, and Vision insurance.
• 401k.
• $100 Monthly Wellness budget.
• Annual Learning budget.
• SF/Bay-Area Relocation bonus (where applicable).

Join Klarity and be part of a team that is pushing the boundaries of AI and transforming how companies handle unstructured documents.

Klarity is an equal opportunity employer. Klarity provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status.