Full Stack Software Engineer

🕒 March 18

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Reacher

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2024

🤖 Artificial Intelligence

☁️ SaaS

🛍️ eCommerce

🔥 Funding within the last year

💰 $500k Pre seed on 2025-10

Artificial Intelligence • SaaS • eCommerce

Reacher is an AI-powered SaaS platform that automates and scales creator and affiliate relationships for TikTok Shop sellers. It offers creator discovery, automated personalized outreach, campaign and community management, creative analysis, and creator relationship tracking to help brands grow sales and creator-generated content at scale. Reacher is an official TikTok Shop partner and Y Combinator-backed, serving brands across multiple global markets.

📋 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) • Build responsive, delightful UIs (React, TypeScript, Tailwind, shadcn/ui) • 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

🎯 Requirements

• 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 stack—from schema design and backend APIs to pixel-perfect, accessible frontend • 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

🏖️ Benefits

• Post-revenue company solving real problems for real customers • Be a technical leader—define our engineering culture and standards as we scale • High autonomy and visibility—no boring tickets • Your code reaches users within days, not months • Strong engineering-first culture that embraces cutting-edge AI tools • Shape both the product and the company