Founding Business Generalist
NeoSigma
Founding Business Generalist
NeoSigma
Autonomous ML engineer automating ML workflows
About Us
NeoSigma is a product-driven research lab building the intelligence layer that helps close the feedback loop between your customers, products, and AI systems.
We are a small, intensely technical team of researchers and engineers who have trained frontier-scale models and widely used AI products and agents at MIT, Parallel Web, Essential AI, Apple, and Amazon.
The Role
We are looking for a Founding Business Generalist to help build NeoSigma alongside the founders. You will work across customers, product, GTM, strategy, and business operations, with a strong bias toward execution.
We're looking for someone who understands technology deeply but is most energized operating at the intersection of business, product, and customers. You'll help shape the company from the ground up, tackling high-impact, ambiguous challenges across a broad scope in a fast moving environment.
What you'll do
What we look for
Our Core Values
Benefits and perks
As a founding member, you’ll help define the technical foundation of NeoSigma. Your scope will grow with the company, from owning core systems end-to-end to shaping architecture, hiring, and engineering culture. This role has a natural path toward technical leadership or engineering management as the team scales.
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NeoSigma builds an AI product lab behind an intelligent automation layer called NEO. NEO acts as an autonomous ML engineer that handles the full machine learning workflow: data science tasks, model training, fine-tuning large language models, building retrieval-augmented generation pipelines, running evaluations, and deploying production-ready AI systems. It works by using multiple agents in parallel inside a GPU sandbox to run hundreds of experiments, measure their performance against targets, and pick the best models. Users can interact with NEO via a chat interface to guide exploration and provide context. NeoSigma can fix training pipelines, add new AI features to existing projects, and check for data leakage in pipelines. The goal is to connect customers, products, and AI systems by delivering automated, end-to-end ML development that speeds up building and deploying AI-powered products.
Explore more opportunities at NeoSigma