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Role description

MTS - Infrastructure

Omnifold logoOmnifold
AI-native
TypeFull-time
WorkplaceOn-site
Salary$150,000–$300,000
LocationSan Francisco, CA
Posted3/11/2026
Engineering

Infrastructure Team

Omnifold trains custom AI models that help planners forecast the future. We are hiring for our Infrastructure Team, who own the systems that make everything else possible.

What makes this job interesting:

  • We train a unique model for each customer, which means model training and inference work differently here than at any other company. You’ll never get more reps building model training infrastructure!

  • Our team has very fast iteration speed but needs robust monitoring to pick up signal on user patterns. This is especially important as our application interface for AI-driven forecasting is unique on the market.

What you’ll own

  • Deployment: Reliable processes for getting models and services into production

  • Security: Data isolation between customers, product security, infrastructure hardening (SOC2 compliance and beyond)

  • Cloud resource management: GPU allocation, instance sizing, cost optimization

  • Monitoring and logging: Visibility into what's running, what's failing, and why

  • Data and ML ops: ETL pipelines from varied customer data sources, model versioning and lifecycle management

  • Automated testing: Building the test infrastructure that lets us ship with confidence

What we’re looking for

  • Experience with cloud computing (especially GPU workloads), CI/CD infrastructure-as-code. We run on AWS

  • Familiarity with or interest in ML workflows

  • Security fundamentals: encryption, access controls, compliance basics

  • Python proficiency

  • Must have a strong Computer Science background

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)

Relevant archetypes

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Company info

Omnifold logo

Omnifold

Exceptionally accurate forecasts for your supply chain which anticipate and adapt to change.

Omnifold precisely models the underlying mechanics of your supply chain and commercial operations, to deliver an intelligent, self-improving forecasting algorithm specific to the complexities of your business. Our technology is designed by Stanford, MIT, and Google researchers, and is based on advances in deep learning, reinforcement learning, and optimization. We are funded by Lightspeed and Kleiner Perkins, along with industry leaders including John Thompson (ex-Chairman of Microsoft), Girish Rishi (ex-CEO of Blue Yonder), and Yannis Skoufalos (ex-Chief Supply Chain Officer of P&G). Omnifold’s platform is deployed with multi-billion dollar corporations and high growth businesses with substantial improvements over AI / ML planning systems.

Private companySeries BAI-product
HQSan Francisco, United States
Unlock human wisdom
ThesisTermsPrivacy
Size
2-10 employees
IndustrySoftware Development
Funding
  • Series B · $30M · Jun 26, 2026
Investors
Kleiner PerkinsLightspeedK2 VenturesBloomberg BetaMangusta

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