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NeoSigma

Autonomous ML engineer automating ML workflows

Founding Business Generalist

Business OperationsConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USAIn-person

About the Job

Requirements

  • Strong technical fluency and the ability to understand complex technology and operate at the interface of product, customers, and the market.
  • Sharp commercial and product instincts, including the ability to translate technical capabilities into clear customer value.
  • Research, writing, and communication skills, with judgment to turn ambiguous information into action.
  • Comfort moving between strategy and hands-on execution, including preparing customer proposals, researching pricing, coordinating contracts, and shaping product decisions.

Responsibilities

  • Own high-priority workflows across sales, pricing, contracts, growth, and company operations.
  • Move customer opportunities from initial research and discovery through proposals, pilots, procurement, and close.
  • Turn customer conversations into sharper product, positioning, pricing, and company strategy.
  • Research unfamiliar markets and business problems, develop clear recommendations, and drive them through execution.
  • Run rapid experiments across outbound, content, partnerships, pricing, and new markets.
  • Build lightweight systems, automations, and operating processes that create leverage for the founders and the broader team.

Desired Qualifications

  • Experience as a founder, early-stage operator, or investor.

About the Company

NeoSigma

Autonomous ML engineer automating ML workflows

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.

Company size
1-10
Company stage
Not listed
Total funding
Not listed
Headquarters
San Francisco, CA
Founded
2025

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