About the role
Omnifold designs a purpose-built model for each customer's supply chain. The research team owns the core of that: a generalized model architecture combining quantitative modeling with language and reasoning models, then fine-tuned per customer on their own data. The team is three people today with a fourth joining shortly, and research capacity is what gates how fast new customers come on.
You will feel at home here if you want to run your own research end to end and see it hit a production system inside weeks.
What You'll Do.
- Own the research cycle. Take a hypothesis through to a production model, with direct visibility into the physical outcome it changes.
- Design forecasting and optimization models. Work across multi-variable environments where the objectives shift as business conditions do.
- Build proprietary data assets. Curate data that carries signal about real physical and commercial systems.
- Fold in LLM reasoning. Combine language model knowledge with purpose-built quantitative models to lift accuracy and adaptability.
- Keep models current. Retune as consumer sentiment, product launches, and geopolitical conditions move.
About Omnifold
Omnifold is building purpose-built AI systems to optimize how physical products are manufactured, stored, and distributed throughout the world. The company precisely models the underlying mechanics of supply chain and commercial operations to deliver intelligent, self-improving forecasting algorithms specific to the complexities of each customer's business.
Founded by a team with backgrounds at MIT, Stanford, Google, Palantir, and Snowflake — including a CEO with a prior nine-figure exit to Snowflake and a CTO with deep research experience — Omnifold treats supply chain forecasting as a fundamental computer science problem rather than an application layer problem. The company trains custom AI models for each customer, leveraging advances in deep learning, reinforcement learning, and optimization.
Mission: Every bad forecast has a physical consequence — unnecessary goods manufactured, emergency air freight for misallocated products, workers with nothing to do or working frantic overtime. Omnifold's mission is to eliminate waste and accelerate growth for every company with physical products.
What makes Omnifold unique:
- Not a wrapper around GPT: Omnifold competes in a space where incumbents are not using frontier AI models. The company builds its own proprietary models and conducts its own research.
- Capital efficient: Series B funded ($60M raised) with only 17 people. The company lands six-figure enterprise deals without premature scaling.
- Real customers, real revenue: Deployed with multi-billion dollar corporations and high-growth businesses, each paying six-figure annual contracts.
Backed by Lightspeed Venture Partners 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).
Required skills
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Job details
Salary
$200,000 - $300,000
Location
San Francisco, United States
Experience
5+ years
Company
Funding
Total raised
$28M
Last stage
Series A
Investors
Founders
Ishaan Nerurkar
Co-Founder & CEO
What happens next.
No applications, no recruiter spam. Just the intro.
Confirm the fit
A few questions to make sure this role is the right shape for you. Two minutes.
I pitch you to the company
I write the intro, send it to the founder, and handle the back-and-forth.
A meeting lands on your calendar
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.