Product Engineer – UI-Focused

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🕒 June 3

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Prefect

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

Artificial Intelligence • SaaS • Enterprise

Prefect is a platform that provides modern workflow orchestration for data and machine learning engineers. It allows users to easily and efficiently orchestrate any Python workflow using dynamic, right-sized infrastructure. Prefect focuses on orchestration and observability of code, providing features like scheduling, automatic retries, visibility into workflows, and the ability to configure execution environments. The platform supports pure Python code, allowing the flexibility to write code without boilerplate or strict Directed Acyclic Graphs (DAGs), and aims to offer prompt recovery from failures with custom retry behaviors and caching. It offers both cloud and open source solutions, assisting developers in building and deploying data pipelines with ease and full visibility.

📋 Description

• Own end-to-end UI and product features in Horizon — from user problem to information architecture to shipped, polished experience. You define what "done" looks like. • Set the bar for how users interact with Horizon — the web app experience, the flows, and how complex governance concepts are made legible. • Bring deep front-end craft — TypeScript, React, and the underlying web technologies — and the judgment to *direct* AI development tools rather than depend on them. • Be a thought partner to the team — collaborate closely so product and UX direction is a shared conversation, not a solo burden. • Translate enterprise signal into product — partner with GTM and customers to turn the "enterprise-legible" story (gateway plugins, PII filtering, audit logs, SCIM) into experiences buyers immediately understand. • Write maintainable, performant full-stack code — your center of gravity is the product surface, and you're capable across the stack when the feature demands it. • Develop deep product knowledge of the MCP ecosystem and AI/LLM tooling space. • Participate in on-call / incident response and help maintain production reliability standards.

🎯 Requirements

• 5+ years of full-stack engineering experience with a front-end focus, and demonstrated success shipping user-facing products people find intuitive. • Track record of shipping in high-ambiguity, early-stage environments without a dedicated PM or design team. Senior enough to pull context from across the org and push back on the team — including on UX. • Deep front-end craft: strong proficiency in TypeScript, React, and modern UI libraries (e.g. TanStack), plus real understanding of the underlying web technologies — enough to guide AI tools, not lean on them for technical direction. • Strong product and UX judgment. You think in user flows, information architecture, and how a product is actually used, and you have opinions and the craft to back them up. (This is UI in the broad sense — UX thinking *plus* front-end engineering — not styling/CSS specialism or pure user research.) • Comfortable across the full stack, with your energy on the product surface. • Experience building with, or genuine interest in, the Model Context Protocol (MCP) and AI/LLM tooling. You follow the landscape closely. • Self-directed with strong judgment and clear communication. • Real fluency with AI development tools. You've shipped meaningful work with Claude Code, Codex, or their equivalents. You stay accountable for what they produce: you direct them with specs legible to humans and machines; and use them to create a high trust production environment for users. You can make them force multipliers and clearly say when they get in the way. • A formal design background is not required.

🏖️ Benefits

• Offers Equity