Full-Time
Member of Technical Staff
AI Product
Eigen
11-50 employees
AI-powered no-code intelligent document processing platform
No salary listed
San Francisco, CA, USA
In Person
 Software Engineering (1) |
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- Experience designing large yet maintainable artificial intelligence systems.
- Experience with TypeScript, Python, and building agentic systems.
- Invent the technological paradigms that will govern the next generation of products in the age of consumer artificial intelligence.
- Advance the frontier of artificial intelligence in emotional intelligence and relational reasoning.
- Own the product experience end-to-end across the stack, including context engineering, agent harnesses, memory systems, and tooling, while considering the impact on user experience.
- Excitement to solve difficult and ambiguous product problems with a high degree of autonomy.
- Strong confidence in intuition, product sense, and judgment.
- Ability to think in terms of product experience and determine how to build it.
- Ability to scale across the entire stack.
- Interest in learning and reading about psychology, sociology, and similar fields.
- Founder mentality with attention to detail and care for the complete product.
- Strong communication skills with high confidence and low ego.
- Frequent use of Claude Code and Codex tokens.
Eigen Technologies builds a no-code AI platform for intelligent document processing that helps enterprises extract and classify data from complex documents such as contracts, reports, and policies. It uses natural language processing and machine learning to transform unstructured data into structured data, and can train models with only a small sample of documents. The platform integrates with large language models like GPT-4 and Llama 2, offering generative insights, table extraction, and auditable, risk-managed AI workflows for business users without technical backgrounds. Eigen serves industries with heavy document workflows (financial services, insurance, law) and has notable clients such as Goldman Sachs, ING, Citi, Deloitte, and many G-SIB banks. The company’s goal is to reduce manual processing, accelerate decision-making, and manage risk by turning qualitative data into actionable data. Eigen was founded in 2014 and acquired by Sirion in June 2024.
Company Size
11-50
Company Stage
Seed
Total Funding
$15M
Headquarters
San Francisco, California
Founded
2025
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See people who can refer or advise you
Simplify's Take
What believers are saying
- Sirion says Eigen creates the world’s largest labeled commercial-contract dataset.
- Sirion opened AI research centers in London and New York after the acquisition.
- Eigen’s no-code extraction and review hub shorten deployment for loan, invoice, and contract teams.
What critics are saying
- Workday’s Evisort and DocuSign CLM squeeze Sirion on contract intelligence and workflow.
- Sirion now owns Eigen; independent Eigen sales vanish, forcing roadmap priorities through CLM.
- If Sirion underinvests Eigen’s model governance, banks like Citi and BNP Paribas churn by 2027.
What makes Eigen unique
- Eigen’s extraction engine powers Sirion’s AI Studio after the June 2024 acquisition.
- Lewis Liu became Sirion’s Chief AI Officer, anchoring document AI expertise inside enterprise CLM.
- Sirion markets Eigen for regulated industries, leveraging Goldman Sachs and ING credibility.
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