Backend Software Engineer

🕒 il y a 2 mois

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Reacher

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1 - 10 employés

Fondée en 2024

🤖 Intelligence artificielle

☁️ SaaS

🛍️ eCommerce

🔥 Financement dans la dernière année

💰 €500 000 Pre seed en 2025-10

Artificial Intelligence • SaaS • eCommerce

Reacher est une plateforme SaaS alimentée par l'IA qui automatise et développe les relations avec les créateurs et les affiliés pour les vendeurs de la boutique TikTok. Elle propose la découverte de créateurs, une approche personnalisée automatisée, la gestion des campagnes et des communautés, l'analyse créative et le suivi des relations avec les créateurs pour aider les marques à accroître leurs ventes et le contenu généré par les créateurs à grande échelle. Reacher est un partenaire officiel de la boutique TikTok et est soutenu par Y Combinator, servant des marques sur plusieurs marchés mondiaux.

Description

• 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

🎯 Exigences

• 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.

🏖️ Avantages

• 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