Enigma Corporation
Provides data and intelligence on small business financial health.
Company facts
- Founded
- 2011
- Employees
- 145
- Headquarters
- United States
- CEO
- Hicham Oudghiri
- Type
- Private
- Funding
- Series D · $50M · 2023
- Subsidiaries
- Enigma Labs
About
We provide comprehensive data about the identity and financial health of millions of small and medium businesses. Companies use Enigma’s data to power sales & marketing, onboarding, and risk monitoring. By engineering better data from hundreds of public and third-party sources, Enigma tells the complete story of every business, so that companies of every size can access the financial services they need to grow and thrive. Our data is powered by next wave data science and proprietary machine learning, Enigma transforms hundreds of online and offline sources into accurate, reliable data about the identity, activity, and risk profile of every small business.
Open positions
Staff/Senior Machine Learning Engineer, Match Team
Enigma is hiring a Senior/Staff ML Engineer for its Match Team to improve the relevance, latency, and scalability of its customer-facing business data products. Day to day, you'll work on ranking, semantic search, and query understanding while building low-latency, high-throughput retrieval systems with Python, Typesense, and AWS.
Senior Software Engineer, Match Team
Senior Software Engineer builds and optimizes low-latency search and retrieval systems for Enigma's business data products using Python, Typesense, and AWS.
Senior Software Engineer, Growth & KYB Team
Senior Software Engineer at Enigma building data products for small business sales and marketing solutions, focusing on scalable cloud systems and customer impact using Python and related data tools.
Senior Software Engineer, API and Data Delivery
Senior engineer on Enigma's API & Data Delivery team, architecting, building, and running scalable, high-throughput cloud systems that distill and deliver large small-business datasets to clients. Day-to-day spans hands-on implementation, architecture decisions, and mentorship using Docker, AWS, and Terraform.