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Profound

AI answer-engine visibility analytics for brands

Frontend Engineer - Frontend

Frontend EngineeringConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • At least 4 years of experience and deep expertise in React, Next.js, and TypeScript, with strong knowledge of state management and performance optimization.
  • Experience architecting and scaling complex Next.js applications, including App Router, server-side rendering, static site generation, and incremental static regeneration.
  • Strong command of Tailwind CSS, SASS, or SCSS, with the ability to deliver polished, pixel-perfect user interfaces.
  • Experience with data-fetching libraries such as React Query or similar.
  • Skill in building smooth, engaging interfaces using advanced CSS animations, transitions, and layout techniques.
  • Strong understanding of caching strategies and content delivery network integrations for global performance at scale.
  • Experience with React Server Components in production environments.
  • Familiarity with internationalization and localization strategies in Next.js applications.
  • Comfort operating in a fast-paced startup environment with rapid iteration cycles.
  • A strong design eye and a portfolio demonstrating high-quality frontend work.

Responsibilities

  • Build and refine high-quality user interfaces from low-fidelity wireframes.
  • Implement CSS to create polished, pixel-perfect user experiences.
  • Optimize frontend performance to ensure seamless interactions.
  • Work with design and engineering teams to bring ideas to life with precision and speed.
  • Contribute to the product's core architecture and frontend best practices.

Desired Qualifications

  • Experience with GSAP for advanced animations.
  • Experience with Three.js, React Three Fiber, or immersive 3D experiences.

About the Company

Profound

AI answer-engine visibility analytics for brands

Profound helps brands understand and improve how they appear in AI answer engines like ChatGPT, Perplexity, and Google AI Overviews. Its product started as an analytics layer for AI search visibility and now includes research and marketing workflows to track competitors, shape content plans, and measure how AI systems recommend products. The platform analyzes AI-generated results and provides workflows that teams use to plan content and assess impact, rather than just traditional SEO tools. Its goal is to help large enterprises own and improve visibility in AI-generated answers, differentiating itself with a focused AEO/GEO approach and a large, growing customer base.

Company size
201-500
Company stage
Series D
Total funding
$334.5M
Headquarters
New York City, New York
Founded
2024

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