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MTS - Applications

Join Omnifold as a Senior Fullstack Engineer to build elegant, data-dense interfaces for AI-driven forecasting tools.

Location
San Francisco HQ
Compensation
Not disclosed
Level
senior
Type
full time · On-site

Posted by employer 6 months ago

First seen on Joblaze 1 week ago

Last verified on the company career page 1 day ago

Apply at Omnifold → Save job Scanned from omnifold.ai

AI in the day-to-day

The ability to amplify your good taste + judgement using modern AI tools.

Requirements

Experience
5+ years
Education
Bachelor's degree

Not disclosed in this posting: compensation, visa sponsorship.

Joblaze summary

In the role of Member of Technical Staff for Applications at Omnifold, the individual will focus on developing user interfaces that facilitate interaction with AI-driven forecasting models, ensuring both functionality and aesthetic appeal. The position requires extensive full-stack experience, particularly in frontend technologies like TypeScript and React, alongside a solid foundation in computer science principles. This role is ideal for seasoned professionals with a background in building data-rich applications, particularly those who can leverage modern AI tools to enhance user experience. Omnifold emphasizes a collaborative environment where impactful product and architectural decisions

Joblaze insights

Quick facts

Is the MTS - Applications role remote?
No — this is an on-site role in San Francisco HQ.
How much experience is required?
At least 5 years of relevant experience for this MTS - Applications role.
Where is the role based?
Omnifold is hiring for this position in San Francisco HQ.
What's the tech stack?
Joblaze extracted these technologies from the posting: Python, React, Tailwind, TypeScript.
What seniority level is this role?
Omnifold targets senior candidates for this position.
Is this full-time or contract?
Full-time for this MTS - Applications role at Omnifold.

From the original posting

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.

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