Founding Software Engineer (+ Equity) at Made
Jack & Jill · California, United States · 5 days ago
On-siteEngineeringFull-time
Job Description
- Join Made as a founding engineer to transform a proven prototype into a scalable MVP.
- You’ll build the technical foundation for a platform that connects generative AI design with a distributed micro-factory network.
- This role offers high autonomy to solve structural failures in fashion while working directly alongside experienced founders.
Why this role is remarkable
- Opportunity to solve a $1.7T global industry problem by replacing slow, wasteful supply chains with a real-time, AI-driven manufacturing alternative.
- Founding team access and high ownership with 0.5–1.5% equity in a pre-seed startup founded by veterans in fashion, climate tech, and sustainable manufacturing.
- Unique technical challenge bridging the digital and physical worlds, working with generative AI, computational design, and a distributed micro-factory network.
What You Will Do
- Architect and develop full-stack features for the "Made OS" platform, taking the existing working demo to a production-ready MVP.
- Implement and optimize generative AI workflows and modular product engineering tools to enable instant, custom garment design for creators and brands.
- Collaborate directly with the founding team to define the technical roadmap, prioritize features, and establish the company's engineering culture and standards.
Requirements
- 2–6 years of full-stack engineering experience with a strong background in building production systems, modern APIs, and distributed cloud architectures.
- Demonstrated interest or experience in generative AI, computational geometry, or 3D creative tooling such as WebGL, WebGPU, or CAD systems.
- High autonomy and a builder’s mindset, comfortable moving fast in an ambiguous startup environment to own features from conception through to deployment.
Qualifications
- Strong problem-solving skills and a passion for tackling complex challenges.
- Experience with relevant technologies such as Python, JavaScript, React, Node.js, Docker, Kubernetes, and AWS.
- Understanding of machine learning and deep learning concepts, especially in the context of fashion and sustainability.
- Experience with distributed systems and microservices architecture.
Skills
- Full-stack development skills including front-end and back-end.
- Experience with generative AI and computational design tools.
- Knowledge of cloud platforms and distributed computing.
- Ability to work independently and manage multiple projects simultaneously.
Benefits
- Equity in a pre-seed startup founded by veterans in fashion, climate tech, and sustainable manufacturing.
- Opportunity to work with a dynamic and innovative founding team.
- Flexible work arrangements to balance work and personal life.
Pay
Not Disclosed
Schedule
Remote
Company Description
Made is a pre-seed fashion-tech startup building an AI-powered operating system to replace the $1.7T apparel industry's broken supply chain with on-demand, zero-waste manufacturing.
About the role
Join Made as a founding engineer to transform a proven prototype into a scalable MVP. You’ll build the technical foundation for a platform that connects generative AI design with a distributed micro-factory network. This role offers high autonomy to solve structural failures in fashion while working directly alongside experienced founders.
Responsibilities
- Architect and develop full-stack features for the "Made OS" platform, taking the existing working demo to a production-ready MVP.
- Implement and optimize generative AI workflows and modular product engineering tools to enable instant, custom garment design for creators and brands.
- Collaborate directly with the founding team to define the technical roadmap, prioritize features, and establish the company's engineering culture and standards.
Requirements
- 2–6 years of full-stack engineering experience with a strong background in building production systems, modern APIs, and distributed cloud architectures.
- Demonstrated interest or experience in generative AI, computational geometry, or 3D creative tooling such as WebGL, WebGPU, or CAD systems.
- High autonomy and a builder’s mindset, comfortable moving fast in an ambiguous startup environment to own features from conception through to deployment.
Qualifications
- Strong problem-solving skills and a passion for tackling complex challenges.
- Experience with relevant technologies such as Python, JavaScript, React, Node.js, Docker, Kubernetes, and AWS.
- Understanding of machine learning and deep learning concepts, especially in the context of fashion and sustainability.
- Experience with distributed systems and microservices architecture.
Skills
- Full-stack development skills including front-end and back-end.
- Experience with generative AI and computational design tools.
- Knowledge of cloud platforms and distributed computing.
- Ability to work independently and manage multiple projects simultaneously.
Benefits
- Equity in a pre-seed startup founded by veterans in fashion, climate tech, and sustainable manufacturing.
- Opportunity to work with a dynamic and innovative founding team.
- Flexible work arrangements to balance work and personal life.
Pay
Not Disclosed
Schedule
Remote
Company Description
Made is a pre-seed fashion-tech startup building an AI-powered operating system to replace the $1.7T apparel industry's broken supply chain with on-demand, zero-waste manufacturing.
About the role
Join Made as a founding engineer to transform a proven prototype into a scalable MVP. You’ll build the technical foundation for a platform that connects generative AI design with a distributed micro-factory network. This role offers high autonomy to solve structural failures in fashion while working directly alongside experienced founders.
Responsibilities
- Architect and develop full-stack features for the "Made OS" platform, taking the existing working demo to a production-ready MVP.
- Implement and optimize generative AI workflows and modular product engineering tools to enable instant, custom garment design for creators and brands.
- Collaborate directly with the founding team to define the technical roadmap, prioritize features, and establish the company's engineering culture and standards.
Requirements
- 2–6 years of full-stack engineering experience with a strong background in building production systems, modern APIs, and distributed cloud architectures.
- Demonstrated interest or experience in generative AI, computational geometry, or 3D creative tooling such as WebGL, WebGPU, or CAD systems.
- High autonomy and a builder’s mindset, comfortable moving fast in an ambiguous startup environment to own features from conception through to deployment.
Qualifications
- Strong problem-solving skills and a passion for tackling complex challenges.
- Experience with relevant technologies such as Python, JavaScript, React, Node.js, Docker, Kubernetes, and AWS.
- Understanding of machine learning and deep learning concepts, especially in the context of fashion and sustainability.
- Experience with distributed systems and microservices architecture.
Skills
- Full-stack development skills including front-end and back-end.
- Experience with generative AI and computational design tools.
- Knowledge of cloud platforms and distributed computing.
- Ability to work independently and manage multiple projects simultaneously.
Benefits
- Equity in a pre-seed startup founded by veterans in fashion, climate tech, and sustainable manufacturing.
- Opportunity to work with a dynamic and innovative founding team.
- Flexible work arrangements to balance work and personal life.
Pay
Not Disclosed
Schedule
Remote
Company Description
Made is a pre-seed fashion-tech startup building an AI-powered operating system to replace the $1.7T apparel industry's broken supply chain with on-demand, zero-waste manufacturing.
About the role
Join Made as a founding engineer to transform a proven prototype into a scalable MVP. You’ll build the technical foundation for a platform that connects generative AI design with a distributed micro-factory network. This role offers high autonomy to solve structural failures in fashion while working directly alongside experienced founders.
Responsibilities
- Architect and develop full-stack features for the "Made OS" platform, taking the existing working demo to a production-ready MVP.
- Implement and optimize generative AI workflows and modular product engineering tools to enable instant, custom garment design for creators and brands.
- Collaborate directly with the founding team to define the technical roadmap, prioritize features, and establish the company's engineering culture and standards.
Requirements
- 2–6 years of full-stack engineering experience with a strong background in building production systems, modern APIs, and distributed cloud architectures.
- Demonstrated interest or experience in generative AI, computational geometry, or 3D creative tooling such as WebGL, WebGPU, or CAD systems.
- High autonomy and a builder’s mindset, comfortable moving fast in an ambiguous startup environment to own features from conception through to deployment.
Qualifications
- Strong problem-solving skills and a passion for tackling complex challenges.
- Experience with relevant technologies such as Python, JavaScript, React, Node.js, Docker, Kubernetes, and AWS.
- Understanding of machine learning and deep learning concepts, especially in the context of fashion and sustainability.
- Experience with distributed systems and microservices architecture.
Skills
- Full-stack development skills including front-end and back-end.
- Experience with generative AI and computational design tools.
- Knowledge of cloud platforms and distributed computing.
- Ability to work independently and manage multiple projects simultaneously.
Benefits
- Equity in a pre-seed startup founded by veterans in fashion, climate tech, and sustainable manufacturing.
- Opportunity to work with a dynamic and innovative founding team.
- Flexible work arrangements to balance work and personal life.
Pay
Not Disclosed
Schedule
Remote
Company Description
Made is a pre-se