🚀 We’re hiring: Visionary Fullstack Developer (with ML expertise) — future CTO track
At ModaResa, we’re on a mission to revolutionize scheduling, sourcing, and sustainable planning in the €500B fashion and sportswear industry. Our goal? To dramatically reduce the carbon footprint of buying-related travel while empowering brands and retailers with AI-driven intelligence.
We’re in search of a really smart, really hungry Fullstack Developer who thrives on solving complex problems — from scheduling & optimization challenges to big data & machine learning applications. You’re not just a coder: you’re a strategic thinker who sees the business impact of tech decisions and wants to grow into a CTO role within the next 24 months.
You’ll have the chance to:
Architect, lead, and build our ecosystem around advanced scheduling and optimization problems.
Shape our next-level, data-driven platform, leveraging machine learning to predict sourcing and buying trends.
Drive real-world impact by tackling complex problems like the traveling salesman problem, big data analysis, and demand prediction.
Be part of a small but powerful team where your decisions directly shape the company’s future.
Fullstack mastery: React, TypeScript, NodeJS, NestJS, PostgreSQL.
Machine Learning know-how: whether hands-on or working closely with data scientists, you understand ML models, prediction pipelines, and the role of AI in real-world business.
Strategic & hungry mindset: you’re obsessed with learning, questioning, and leading. You want to grow fast and take ownership.
Leadership drive: you’re excited to mentor, build a team, and set the tone for an engineering culture of excellence and curiosity.
Data-driven thinker: you love using analytics, optimization, and ML to find elegant solutions to messy, high-impact problems.
Develop & communicate a compelling tech/product vision aligned with business goals.
Build and scale ModaResa’s core platform while prototyping new products (like ModaCruising).
Manage the full product lifecycle: ideation → prioritization → launch.
Balance strategic vision with hands-on execution, pushing both code and culture forward.
Lead a small, high-performing team (3–4 in Data, Engineering, Product).
Anticipate future hires and build the backbone of our tech org.
Drive nearly 100% test coverage, continuous improvement, and tech debt management.
Foster a culture of collegiality, hunger, and curiosity, where smart people grow even smarter.
Frontend: React, TypeScript
Backend: NodeJS, NestJS, Python, REST API
Database: PostgreSQL (CleverCloud)
Infra & Tools: CleverCloud, Cloudflare, Firebase Auth, S3 Storage, Sentry, Postmark
CI & Code Hosting: GitHub, GitHub Actions
Smart: You connect the dots fast, think in systems, and thrive on complexity.
Hungry: You’re ambitious, resilient, and ready to leave your mark on an industry ripe for innovation.
Machine Learning-minded: You know how to harness AI to solve business-critical challenges.
Future leader: You’re not just building features; you’re building the company’s future.
If you’re ready to lead, learn, and disrupt, and if you want your work to have a global, lasting impact, we want to hear from you.
👉 Apply now. Let’s build the future of sustainable fashion sourcing together.
Minimum 2 years of professional experience in Fullstack software development in Node.JS/React/TS and AI oriented in forms of internships or side projects. We don’t look at years of experience, but rather track record of curiosity and productivity. We’re looking for hungry ambitious team mates who want to go the extra mile to build something great.
Ideally pro-efficient knowledge of Python or past experiences with linear programming, with some focus on solving TSP optimization problems or complex scheduling problems.
Advanced degree (e.g., Master’s or PhD) in Computer Science, Engineering, or a related field is preferred.
Proven track record of leadership in any form is a Bonus
We asses your motivation letter along with your CV. If we see there is a potential mutual match, we’ll call you for a quick 15 minutes first short introductory culture over phone.
First 1 hour deep dive interview (1H) with Chief of Staff or Founder in person if possible.
Live technical test (2 Hours) with our Technical Lead.
Last interview with Founder (1H) in person or online, depending if step 2 is in person.
Reference checks.
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