Job Overview
Location
Remote
Job Type
Full-time
Category
Software Engineering
Date Posted
June 4, 2026
Full Job Description
📋 Description
- • Own end-to-end UI and product features in Horizon, defining what "done" looks like from user problem to shipped, polished experience.
- • Set the bar for how users interact with Horizon by shaping web app experience, user flows, and information architecture to make complex governance concepts legible and intuitive.
- • Apply deep front-end craft using TypeScript, React, and modern UI libraries (e.g., TanStack), with strong understanding of underlying web technologies to guide AI tools rather than rely on them for technical direction.
- • Collaborate as a thought partner with the Horizon engineering team to co-own product and UX direction, ensuring shared accountability and high standards for the product surface.
- • Translate enterprise customer signals — including gateway plugins, PII filtering, audit logs, and SCIM — into intuitive product experiences that resonate with security-minded and platform-minded buyers.
- • Write maintainable, performant full-stack code with primary focus on the product surface, capable of delivering across the stack when required by feature needs.
- • Develop deep product knowledge of the Model Context Protocol (MCP) ecosystem and AI/LLM tooling landscape, staying current with industry evolution.
- • Participate in on-call and incident response to maintain production reliability standards for Horizon, an enterprise-grade MCP gateway used for mission-critical workloads.
- • Partner directly with CEO, Go-To-Market teams, and early customers to rapidly turn field feedback into working software.
- • Ship features in high-ambiguity, early-stage environments without a dedicated product manager or design team, pulling context from across the organization and pushing back when necessary.
- • Use AI development tools (e.g., Claude Code, Codex) as force multipliers by providing human- and machine-legible specs, holding accountability for their outputs, and knowing when they hinder progress.
- • Contribute to a remote-first culture focused on high performance, autonomy, and authentic belonging, where every team member directly advances the company’s vision and mission.
🎯 Requirements
- • 5+ years of full-stack engineering experience with a front-end focus and demonstrated success shipping intuitive, user-facing products.
- • Strong proficiency in TypeScript, React, and modern UI libraries (e.g., TanStack), with deep understanding of underlying web technologies to guide AI tools rather than depend on them.
- • Proven track record of shipping products in early-stage environments without dedicated PM or design teams, with senior-level judgment to pull context and push back on UX.
- • Strong product and UX judgment focused on user flows, information architecture, and real-world product usage — not styling or pure user research.
- • Experience building with or genuine interest in the Model Context Protocol (MCP) and AI/LLM tooling ecosystem.
- • Real fluency with AI development tools (e.g., Claude Code, Codex), including the ability to direct them with clear specs and maintain accountability for their outputs.
🏖️ Benefits
- • Remote-first work environment with global team collaboration.
- • Opportunity to shape the product surface of an enterprise-grade MCP gateway used by Fortune 500 companies and fast-growing startups.
- • Direct partnership with CEO, GTM teams, and early customers to turn field signal into product quickly.
- • Culture focused on autonomy, high performance, and authentic belongingness where team members contribute as their most authentic selves.
Skills & Technologies
About Prefect Technologies, Inc.
Prefect Technologies provides an open-source workflow orchestration platform for data engineers and scientists to build, schedule, and monitor data pipelines. The software replaces fragile cron jobs and ad-hoc scripts with Python-native APIs, automatic retries, rich observability, and cloud-native deployment options. Users define tasks and flows in familiar Python code, then deploy locally, on Kubernetes, or via Prefect Cloud for managed execution, logging, and alerting. The company maintains the Prefect Core open-source project and offers commercial Prefect Cloud services, serving organizations that need reliable, scalable data processing and ETL workflows without heavy infrastructure management.
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