Profound

Software Engineer, Frontend

New York, New York, United StatesFull time$140,000 - $230,000 / yearPosted 12 days ago
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Profound is the marketing platform for the AI era. As people increasingly turn to ChatGPT, Perplexity, and Gemini to decide what to buy, we give brands the intelligence to see how AI represents them and the Agents to act on it. Today, ~13% of the Fortune 500, plus companies like Ramp, Figma, Chime, Calendly, and DocuSign, use Profound to turn AI Search from a black box into a measurable growth channel.

Backed by Lightspeed, Sequoia, Kleiner Perkins, and Khosla Ventures at a $1B valuation, we're a lean, fast-moving team across NYC, SF, Buenos Aires, and London, shipping at a relentless pace and defining a new category at the biggest shift in marketing in 25 years. If you want to do the best work of your career at the frontier of AI, come build it with us.

As a Frontend Engineer, you will play a key role in shaping high-performance, visually stunning React applications that power the future of AI-driven marketing experiences.

WHAT YOU’LL DO

- Build and refine sleek, high-quality user interfaces from low-fidelity wireframes

- Implement god-like CSS to create exceptional, pixel-perfect experiences

- Optimize front-end performance to ensure seamless interactions

- Work closely with design and engineering to bring ideas to life with precision and speed

- Contribute to our product’s core architecture and front-end best practices

WHO YOU ARE

- Deep expertise in React, Next.js, and TypeScript, with strong knowledge of state management and performance optimization

- Proven experience architecting and scaling complex Next.js applications (App Router, SSR, SSG, ISR)

- Strong command of Tailwind CSS, SASS, or SCSS, delivering polished, pixel-perfect UIs
Experience with data-fetching libraries like React Query (or similar)

- Skilled in building smooth, engaging interfaces with advanced CSS animations, transitions, and layout techniques

- Strong understanding of caching strategies and CDN integrations for global performance at scale

- Experien...