Replit
Product Engineer, New Products
About this role
Join Replit as a Product Engineer to build AI-powered creative tools that democratize software development. You'll own full-stack product experiences—from concept through launch—creating intuitive interfaces for AI-generated presentations, data applications, and visual artifacts that empower creators to turn ideas into polished, shareable products.
What you'll do
- Own product experiences end-to-end: concept, design, implementation, launch, measurement, and iteration
- Build intuitive interfaces for generating, editing, and collaborating on AI-created presentations and data applications
- Deliver high-quality frontend experiences with strong interaction design, performance, accessibility, and error handling
- Partner with users, Product, Design, and AI engineers to understand workflows and incorporate feedback rapidly
- Create reusable editing, visualization, and collaboration primitives for future products
- Work in lean, autonomous teams shipping every three-week sprint with emphasis on user feedback
What they're looking for
- TypeScript, React, HTML, and CSS
- Browser performance optimization and responsive design
- Full-stack development: Node.js, APIs, Postgres, data models
- Product judgment and visual design sensibility
- Agentic software development concepts
- Accessibility and application state management
- Production debugging and real-time collaboration patterns
- AI/ML product design (streaming, tool calls, workflows)
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Replit
Replit builds a software creation platform that enables developers to write and deploy applications efficiently. The company is hiring Product Engineers, Security Engineers, Software Engineers, and Field Engineers to enhance its core systems, strengthen security practices, expand enterprise capabilities, and improve the developer experience.
- Website
- replit.com
Likely interview questions
- Describe a complex, user-facing product you shipped from concept to launch and how you made key trade-offs between polish, speed, and maintainability.
- How have you designed interfaces that help users understand and trust AI-generated content or agent-driven workflows?