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Product (Front-End) Engineer – Fully Remote (US) – Competitive Salary + Equity + Opportunity to work with an Ambitious, Rapidly-Growing Start-Up

Orbis Group

full-remoteseniorpermanentfrontendproduct-management United States 135 days ago via LinkedIn

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Tags

ReactTypeScriptTailwind CSSCSSState ManagementWebSocketsSSEReal-time ApplicationsProduct DiscoveryUI/UX

About the role

Role Overview

As a Product (Front-End) Engineer (fully remote in the US), you’ll join a small core team and help drive a 0–1 product experience. You will build the front-end interface that enables AI-powered automation for businesses, working closely with founders to define the core product experience.

Responsibilities

  • Own the 0–1 front-end product experience and contribute to product definition with founders
  • Build visual interfaces for authoring agents, workflows, actions, and human tasks
  • Blend design, code, and AI to create high-quality, user-facing experiences
  • Develop complex, interactive UI with effective state management
  • Support real-time application experiences using WebSockets/SSE or similar technologies

Requirements

  • Several years of full-stack engineering experience with strong front-end expertise
  • Strong proficiency in React and TypeScript
  • Experience building complex interactive user interfaces with state management
  • Modern CSS skills (with Tailwind preferred), including responsive design and component libraries
  • Experience with real-time applications using WebSockets, SSE, or similar
  • Strong attention to craft: building beautiful, functional, visual interfaces
  • Product-minded approach focused on user experience and business impact

Nice-to-haves / Additional Signals

  • Founding/small start-up experience (implied as a good fit)
  • Interest in defining an AI-native product and brand at the foundation stage

About Orbis Group

Orbis Group is an ambitious, rapidly growing start-up building cutting-edge AI platforms. The company is focused on reinventing back-office and finance operations using agentic AI, tackling complex legacy systems for large enterprise clients.

Scraped 5/12/2026