Klarity AI
Staff AI Frontend Engineer
San Francisco (Klarity HQ) · Staff+
Sponsorship not specifiedDetected 105 days ago
TypeScriptPythonReactNext.jsTailwind CSSGitNLPAccessibilityProblem Solving
About the role
- You will be responsible for defining and implementing the "look and feel" of AI-native workflows, ensuring that our complex enterprise tools feel as intuitive as the best consumer apps.
- We care about your portfolio, your GitHub (or equivalent), and your track record of shipping.
Responsibilities
- Own and ship the primary user-facing features
- Build the core interfaces users interact with daily. You'll write the React components, integrate with backend APIs, and polish every detail to production quality.
- Partner with product and backend engineers to understand what's possible, then create interfaces that expose powerful functionality while hiding technical complexity.
- Use AI tools to rapidly prototype design concepts in code and bridge gaps between teams with working demos instead of static mocks, turning ambiguous ideas into tangible experiences that drive better decisions.
- Architect scalable front-end systems - Design reusable component libraries, establish patterns for state management and API integration, optimize bundle sizes, and ensure the platform performs beautifully at scale.
- Own and ship the primary user-facing features - Build the core interfaces users interact with daily. You'll write the React components, integrate with backend APIs, and polish every detail to production quality.
- Bridge AI capabilities with elegant user experiences - Partner with product and backend engineers to understand what's possible, then create interfaces that expose powerful functionality while hiding technical complexity.
- Relocation support to San Francisco Bay Area (where applicable)
- Design reusable component libraries, establish patterns for state management and API integration, optimize bundle sizes, and ensure the platform performs beautifully at scale.
Requirements
- You can discuss the tradeoffs of Server Components versus Client Components just as fluently as you can critique spacing and visual hierarchy.
Compensation
- Equity in addition to competitive cash compensation
Benefits
- Equity in addition to competitive cash compensation
- 100% Employer-Paid Medical, Dental & Vision options! https://app.rippling.com/benefits/preview/4zb9x0k4q4bxr1lm
- Paid Parental Leave
- $500 Annual Learning Fund
- $100 Monthly Wellness Fund
- Office-related Perks:
- You'll work across the full spectrum from responsive layouts to micro-interactions, with bonus points for diving into Python backends when needed.
- Onsite Gym Access: A state-of-the-art fitness center right downstairs, and it's free!
Company info
- Series B, $91M raised, 7x growth last year.
- Digital Transformation gave rise to a $600B consulting Industry.
- AI Transformation will be 10x bigger and will be delivered through agents.
- We built that.
- Our AI discovers how work actually happens across every team and application, Structures it into a living Context Graph, and Improves it continuously.
- ServiceNow mapped 900+ processes in 9 days.
- DoorDash captured 3,800+ finance operations in 14 weeks.
- That's not a project.
- That's compounding intelligence.
- OpenAI, Google, DoorDash, and Stripe use Klarity to transform how they transform.
- We shipped GPT-4 document chat within 12 hours of OpenAI's API launch.
- We move fast, reward agency, and care deeply about our customers, our team, and our mission.
- We are looking for an AI Front-end Engineer who sits at the intersection of product design and frontend engineering.
Equal opportunity
- Commute in and safely store your bike.
- 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.
- equal opportunity employer.
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This listing is sourced directly from Klarity AI's careers page and normalized into a canonical job model.