Norm Ai embeds law into AI agents, powering critical legal and compliance workflows, and governing AI agents operating in regulated environments. Backed by Khosla.
About the role
Lead technical implementation and integration efforts with enterprise clients, ensuring our AI compliance solutions are effectively deployed at the source of business activities inside large enterprises. Work closely with client technical teams to understand their infrastructure, security requirements, and compliance needs.
What they're looking for
- Bachelors or Masters in computer science or an equivalent field, or equivalent practical experience
- 4+ years experience writing Python or similar for production use
- 1+ years of experience working with enterprise customers in a technical client-facing role (Sales Engineer, Solutions Engineer, Forward Deployed Engineer, etc.)
- Experience writing ETL data pipelines and working with key customer SMEs to map ambiguous customer data into a coherent data model
- Experience writing APIs, including working with libraries such as FastAPI
- Experience working with a Postgres database or similar
More about this role
About Norm Ai
Norm Ai, the agentic law company, has a client base with a combined $30 trillion in assets under management.
Norm Ai pioneered Legal Engineering, the process that empowers lawyers to build and supervise domain-specific AI agents with Norm’s proprietary suite of no-code software tools. Norm Ai technology is deployed inside many of the largest and most consequential institutions in the world.
Norm Ai is also the technology behind Norm Law, LLP, a separate but affiliated AI-native law firm built for the era of agentic AI. Norm Law’s attorneys advise leading institutions across private funds, private equity, venture capital, real estate, registered funds, and financial regulation, using the same legal intelligence platform that powers Norm Ai’s products.
Norm Ai expects all team members to be fluent in AI. Successful candidates actively use AI in their day-to-day work to support thinking, creation, and problem-solving. They use it to improve the quality and speed of their work and to continuously refine how work gets done end-to-end.
Candidates should be prepared to demonstrate and discuss their AI usage throughout the interview process, including concrete examples of...
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