Omnifold
AI & Machine LearningDirect Ashby career site

MTS - Applications

Location
San Francisco, CA · On-site
Job type
Full-time
Level
Senior
Experience
5+ years
Listed
23 days ago

Skills & highlights for this role

  • TypeScript
  • React
  • Tailwind
  • Python
  • data-dense interface design

Also useful

  • LLM application interaction design
  • Enterprise SaaS
  • application security

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.

Read the original posting

From Omnifold's careers page, first listed on Rolev.ai on October 17, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

Rolev.ai is a job search and application tool for US job seekers. For this MTS - Applications role at Omnifold, it shows how your resume fits, tailors your resume to the posting, and prepares the application for you to review.

  • See how you fit

    Openings from employer career sites are ranked against your whole resume—and searchable inside Claude, ChatGPT, and Cursor via Rolev.ai MCP.

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    Every change to your resume is checked against your original. New experience goes in only with your yes—zero fabricated claims.

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  • 1-Click Extension Autofill

    The Chrome extension fills the employer's Greenhouse, Workday, Lever, or Ashby form in 1 click. You review it and press Submit.

Common questions

Where is the MTS - Applications job at Omnifold located?

This MTS - Applications position at Omnifold is located in San Francisco, CA (On-site). Always check Omnifold's application page for specific state eligibility or relocation policies.

What qualifications are required for MTS - Applications at Omnifold?

For the MTS - Applications role, Omnifold highlights 5+ years of relevant experience; experience with TypeScript, React, Tailwind, Python, data-dense interface design. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the MTS - Applications position at Omnifold?

This listing links directly to Omnifold's Ashby application page. You can apply directly on Omnifold's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.