
Empowering businesses with AI-driven analytics solutions
Clarify is a Miami-based tech company specializing in AI-driven analytics solutions that empower businesses to make data-informed decisions. With a focus on enhancing operational efficiency, Clarify serves a diverse clientele, including companies in the fintech and healthcare sectors. The company ha...
Employees at Clarify enjoy competitive salaries, equity options, flexible remote work policies, and generous PTO to promote work-life balance....
Clarify fosters a culture of data-driven decision-making and innovation, encouraging employees to leverage analytics to drive results and improve clie...

Clarify • Seattle / San Francisco
You'll join Clarify as a founding Frontend Engineer, building the interfaces that bring AI to life for sales teams. You'll craft how users interact with LLM-powered features—conversational search, data enrichment, insights, and workflow automation. You'll work directly with founders to shape how AI surfaces in the product and set the foundation for our frontend architecture.
Create interfaces that build user trust in AI.
Architect frontend systems enabling team velocity and quality.
Define API contracts and data patterns across teams.
Establish performance standards for data-heavy AI interfaces.
Build component library and patterns teams adopt.
Create frontend infrastructure: tooling, testing, deployment pipelines.
Set architectural direction: state management, data fetching, routing.
Mentor engineers, establish best practices, unblock teams.
5+ years building production web applications professionally.
Expert in React, TypeScript, and Next.js stack.
Experience building AI-powered or real-time user interfaces.
Strong frontend architecture: state management, performance, and data.
Comfortable with complex data structures and APIs.
Pragmatic: balance speed with quality when shipping.
Ship features: concept to production, testing, and monitoring.
Strong collaboration with designers, engineers, product stakeholders.
Startup experience: comfortable with ambiguity, changing priorities.
Bonus: Data visualization, tables, or command palettes.
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