MTS - Applications
San Francisco, CAFull-timePosted 6mo agoStill listed 3 days ago
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Requirements
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Job overview
Omnifold is hiring a MTS - Applications. Omnifold is seeking a Member of Technical Staff for Applications to build interfaces for custom AI models that help planners forecast the future. This role involves designing thoughtful human-LLM interaction patterns, making product and architecture decisions, and creating data-dense yet elegant interfaces.
Key focus areas include Build interfaces that are both data-dense and elegant, Design thoughtful human-LLM interaction patterns for real-world problems, and Make real product and architecture decisions.
Successful candidates bring 5+ Years Full-Stack Experience, Bachelor's Degree In Computer Science, and Experience With Data-Dense Interfaces. Important skills include TypeScript, React 18+, Tailwind CSS, Python, End-to-End Feature Development, and AI Tools. Preferred (not required): Human-LLM Interaction Patterns, LLM Interactions, ML Interactions, and Enterprise SaaS.
Skills & qualifications
Skills
Qualifications
Full job description
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:
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You will build interfaces that are both data-dense and elegant
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You will design thoughtful human-LLM interaction patterns for real-world problems
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You will constantly be making real product and architecture decisions.
What we're looking for:
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5+ years full-stack experience, weighted toward frontend
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Must have a strong Computer Science background (CS Degree, or developed a product with core computer science fundamentals e.g. compilers, search)
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Experience with data-dense interfaces: dashboards, analytics products, planning tools
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TypeScript, React 18+, Tailwind, Python
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Experience with end-to-end feature development (requirements -> concept -> mocks -> technical design -> implementation -> documentation)
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The ability to amplify your good taste + judgement using modern AI tools
Useful but not required:
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Experience building:
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features involving LLM or ML interactions
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Enterprise SaaS
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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.
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