Member of Technical Staff, Applications
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.