Omnifold trains custom AI models that help planners forecast the future. At the application layer, our users interact with those models - creating forecasts, understanding why predictions shifted, and feeding context back into the system.
What makes this job interesting:
You will build interfaces that are both data-dense and elegant
You will design thoughtful human-LLM interaction patterns for real-world problems
You will constantly be making real product and architecture decisions.
What we're looking for:
5+ years full-stack experience, weighted toward frontend
Must have a strong Computer Science background (CS Degree, or developed a product with core computer science fundamentals e.g. compilers, search)
Experience with data-dense interfaces: dashboards, analytics products, planning tools
TypeScript, React 18+, Tailwind, Python
Experience with end-to-end feature development (requirements -> concept -> mocks -> technical design -> implementation -> documentation)
The ability to amplify your good taste + judgement using modern AI tools
Useful but not required:
Experience building:
features involving LLM or ML interactions
Enterprise SaaS
Application security and other systems design experience
Location: San Francisco (in-person, 5 days per week)
Omnifold’s Mission
Every bad forecast has a physical consequence. Unnecessary goods are manufactured, shipped, and stored. Emergency air freight is needed for misallocated products. Poor production planning means workers show up with nothing to do, or work frantic overtime. Inefficiency is everywhere.
Our mission is to eliminate waste and accelerate growth for every company with physical products.
Skills Required
- 5+ years of full-stack software development experience, with a frontend emphasis
- Strong computer science background through a CS degree or equivalent experience applying core computer science fundamentals
- Experience building data-dense interfaces such as dashboards, analytics products, or planning tools
- Experience with TypeScript
- Experience with React 18 or later
- Experience with Tailwind
- Experience with Python
- Experience developing features end to end, from requirements through documentation
- Ability to use modern AI tools effectively
- Experience building LLM or machine learning interaction features
- Experience with Enterprise SaaS
- Application security and systems design experience
What We Do
Omnifold develops AI-powered planning software for complex supply chains and commercial operations. Its platform combines internal, external, and customer-specific data to model procurement, manufacturing, distribution, marketing, and sales dynamics, then uses prediction, optimization, language, and reasoning to improve forecasting. The system adapts to market changes and discovers growth strategies, helping businesses improve margins, cash flow, and operational decisions across complex enterprises.
