Backend Software Engineer

🕒 vor 2 Monaten

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Reacher

WebsiteLinkedInAlle Stellen

1 - 10 Mitarbeiter

Gegründet 2024

🤖 Künstliche Intelligenz

☁️ SaaS

🛍️ eCommerce

🔥 Finanzierung im letzten Jahr

💰 €500.000 Pre seed im 2025-10

Artificial Intelligence • SaaS • eCommerce

Reacher ist eine KI-gestützte SaaS-Plattform, die die Beziehungen zu Erstellern und Affiliates für Verkäufer im TikTok Shop automatisiert und skaliert. Sie bietet Entdeckung von Erstellern, automatisierte personalisierte Kontaktaufnahme, Kampagnen- und Community-Management, kreative Analyse und Nachverfolgung der Beziehung zu Erstellern, um Marken dabei zu helfen, Umsatz und durch Ersteller generierte Inhalte in großem Maßstab zu steigern. Reacher ist ein offizieller TikTok Shop-Partner und wird von Y Combinator unterstützt, wobei Marken in mehreren globalen Märkten bedient werden.

Beschreibung

• Own and lead product features end-to-end: research, design, implement, test, and ship • Lead and shape engineering architecture - set standards for code quality, testing, and development practices across the stack • Mentor and guide other engineers in adopting AI-native workflows, establishing best practices and patterns • Talk directly to customers and translate vague requirements into polished user experiences • Design scalable backend systems (Python, FastAPI, PostgreSQL, GCP) • Write clean, maintainable, and testable code with minimal oversight • Drive architectural decisions and engineering processes that maximize AI-assisted development velocity • Ship fast and learn fast - high urgency environment

🎯 Anforderungen

• 2–6 years of professional full-stack experience at a product-first company or FAANG-level environment (Senior SDE ownership expected) • Comfortable building features across the entire backend stack • Care deeply about product, design, and user experience—not just code • Have owned something meaningful end-to-end (a product module, infrastructure refactor, major feature launch) • Can set standards for engineering quality and architectural decisions in an AI-native environment • Resourceful and thrive in ambiguous environments—you figure things out independently • Have strong product intuition and can push back on requirements when needed to improve outcomes • AI coding experience is your most important and necessary skill - you have deep understanding of modern coding tools, specifically Claude Code, and are proficient with its various modes (Interactive, Plan, Headless, Agent Teams, Delegate) • You're "AI-pilled" when it comes to problem-solving - you tackle any new problem, skill, or architectural challenge by leveraging AI tools and an AI-driven workflow. This is your default approach, not an experiment • Strong systems thinking and architectural awareness - you direct AI to build while you architect, review, and verify. You know when AI output is correct and when it needs correction • Can demonstrate recent AI-native work - you've shipped meaningful projects in the last 90 days where AI coding tools were your primary development environment.

🏖️ Vorteile

• Strong engineering-first culture that embraces cutting-edge AI tools • High autonomy and visibility—no boring tickets • Your code reaches users within days, not months