MTS - Applications
Company websiteomnifold.ai (Omnifold, opens in new tab)
Base salary $150K to $300K
Employer-published annual base salary, USD. Advertised base range in San Francisco, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Francisco, CA
- WorkplaceOn-site
- Status at last checkSource accepting applications when checked
- Last checked (1 h ago) · observed since
About this job
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.
Compensation: $150K to $300K base | Equity | Health, dental, vision | 401(k)
Source: Omnifold on Ashby · View original posting (opens in new tab)
This listingMTS - Applications$150K to $300K
MTS - Infrastructure$150K to $300K
MTS - ML Research Scientist$150K to $300K
Applied AI$150K to $300K
Director of Applied AI$200K to $300K
Chart as a table
| Role | Published base |
|---|---|
| MTS - Applications (this listing) | $150K - $300K |
| MTS - Infrastructure | $150K - $300K |
| MTS - ML Research Scientist | $150K - $300K |
| Applied AI | $150K - $300K |
| Director of Applied AI | $200K - $300K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-03-11
Where this pay comes from
Location as the employer wrote it: San Francisco HQ
Compensation: $150K to $300K base | Equity | Health, dental, vision | 401(k)
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.