Staff Product Engineer

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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 product slices of Horizon—from customer problem to wireframe to production service, including the user-facing UI/UX. You define what "done" means and you're accountable for it. • Partner directly with the CEO, VP of Product, and early customers to turn field signal into working software at pace. • Shape technical direction and architectural decisions for Horizon. Mentor product engineers on your team on systems thinking, reliability patterns, and shipping discipline. • Develop deep product knowledge of the AI/LLM tooling space, MCP ecosystem, and how Horizon fits into emerging patterns. Stay sharp on market trends and help us position ourselves accordingly. • Establish and refine our approach to operational excellence: sustainable on-call practices, incident response patterns, observability standards that scale. • Participate in on-call/incident response and set the standard for how we handle production issues.

🎯 Anforderungen

• 8+ years of full-stack engineering experience, with demonstrated success shipping early-stage products from 0 to 1.0 and scaling them beyond. • Deep proficiency in TypeScript across the full stack. Comfortable owning UI/UX implementation—not just backend services. Python experience is a bonus. • Track record of owning user-facing features end-to-end—from the interface users interact with to the infrastructure that powers it—rather than primarily platform or backend systems work. • 5+ years working with Postgres, Redis, and at least one major cloud platform (AWS strongly preferred). You understand distributed systems tradeoffs. • Strong design and architectural thinking—you have opinions about how systems should be built, including user-facing interfaces, and can articulate the tradeoffs in your choices. Has taste for UI/UX. • Proven experience with production observability (Datadog, Grafana, or equivalent). You've debugged complex issues in production systems. • Experience building with the Model Context Protocol (MCP). You understand the ecosystem and have shipped with it. • Genuine interest in AI, LLM tooling, and where this space is heading. You follow the landscape closely, have formed opinions, and are excited about building in this domain. • Track record of mentoring engineers and raising technical standards on teams you've joined. • Self-directed with strong judgment: you identify problems before they're obvious, propose solutions confidently, ship with incomplete information, and keep the team aligned through clear communication. • Comfortable with AI-powered development tools (Cursor, Claude Code, GitHub Copilot, etc.) as force multipliers for your work.

🏖️ Vorteile

• Remote-first team with flexible-first culture • Equity Stock Options • 401(k) with 5% company match (vests immediately!) • Unlimited PTO • Medical, Dental and Vision insurance • Generous Parental Leave • Life Insurance and Disability benefits • $800 remote work stipend for whatever you need to work (food, wellness, equipment etc.)