Product Engineer – UI-Focused

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Prefect

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51 - 200 Mitarbeiter

🤖 Künstliche Intelligenz

☁️ SaaS

🏢 Unternehmen

Artificial Intelligence • SaaS • Enterprise

Prefect ist eine Plattform, die moderne Workflow-Orchestrierung für Daten- und Machine-Learning-Ingenieure bereitstellt. Sie ermöglicht es den Nutzern, Python-Workflows mit dynamischer, passender Infrastruktur einfach und effizient zu orchestrieren. Prefect konzentriert sich auf die Orchestrierung und Überwachung von Code und bietet Funktionen wie Planung, automatische Wiederholungen, Einblick in Workflows und die Option zur Konfiguration von Ausführungsumgebungen. Die Plattform unterstützt reinen Python-Code, was die Flexibilität bietet, Code ohne Boilerplate oder starre gerichtete azyklische Graphen (DAGs) zu schreiben, und strebt eine schnelle Wiederherstellung von Fehlern mit benutzerdefinierten Wiederholungsstrategien und Caching an. Es bietet sowohl Cloud- als auch Open-Source-Lösungen und unterstützt Entwickler beim einfachen Aufbau und Deployment von Datenpipelines mit vollständiger Transparenz.

Beschreibung

• 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.

🎯 Anforderungen

• 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.

🏖️ Vorteile

• Offers Equity