Applied AI

Omnifold · San Francisco HQ

Company
Omnifold
Work style
Onsite
Employment
Full Time
Location
San Francisco HQ
Published
2026-07-07
Source checked
2026-10-28
Listing source
Ashby Job Postings API

About this role

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. What You’ll Do - Engage directly with real customer problems to deeply understand data and operational challenges - Frame customer problems clearly - Lead technical and value-oriented demos that resonate with both technical and non-technical stakeholders - Work hands-on with data using Python and SQL - Build custom demos and prototypes to support GTM activities - Act as a trusted technical partner during evaluations, pilots, and implementations - Support active customer deployments to ensure full value of platform is realized What We’re Looking For - 2+ years of experience as a Data Scientist or Applied AI Scientist - Prior experience as a data scientist or selling a product which required a foundational understanding of machine learning - Excellent project management skills and attention to detail - Experience using technologies such as Python and SQL to answer complex questions and solve business problems - Strong business intuition paired with technical rigor - Hands-on, builder mindset; willingness to dive into new technologies / topics as the situation requires - Confident engaging with business and technical stakeholders alike How We Assess This Role - Technical assessment: Core data analysis and machine learning skills - Business impact presentation: In-depth walkthrough of an example where you have solved a business problem using AI, machine learning, or optimization - Demo: Create a demo in our application and showcase it in front of our team Compensation: $150K to $300K base | Equity | Health, dental, vision | 401(k)

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