Eudia

United States
75 Total Employees
Year Founded: 2023

Jobs at Eudia

Let Your Resume Do The Work
Upload your resume to be matched with jobs you're a great fit for.

Recently posted jobs

3 Days AgoSaved
In-Office
Palo Alto, CA, USA
Artificial Intelligence • Legal Tech
The AI Engineer will develop AI/ML solutions for Fortune 500 clients, ensuring integration and optimization, while collaborating with various stakeholders.
3 Days AgoSaved
In-Office
Palo Alto, CA, USA
Artificial Intelligence • Legal Tech
Lead AI transformation initiatives for Fortune 500 legal departments, ensuring successful platform delivery, adoption, and value realization while building executive relationships.
4 Days AgoSaved
In-Office
Palo Alto, CA, USA
Artificial Intelligence • Legal Tech
The role involves driving Eudia's AI platform evolution, managing integrations, and working with engineers to enhance AI products for legal workflows.
4 Days AgoSaved
In-Office
Palo Alto, CA, USA
Artificial Intelligence • Legal Tech
The Partnerships Lead will strategize and execute the partnerships framework, focusing on technology integrations and building relationships with key partners to drive growth.
15 Days AgoSaved
In-Office
Palo Alto, CA, USA
Artificial Intelligence • Legal Tech
Lead product strategy for Eudia's AI application, focusing on user experience, workflow design, trust, and enterprise adoption in legal environments.
21 Days AgoSaved
In-Office
Palo Alto, CA, USA
Artificial Intelligence • Legal Tech
As a Frontend Engineer, you'll build AI-powered legal platforms, enhance user experiences, optimize performance, and collaborate with cross-functional teams.
22 Days AgoSaved
In-Office
Palo Alto, CA, USA
Artificial Intelligence • Legal Tech
As a Forward Deployed Engineer, you will develop and deploy AI-powered solutions, collaborate with technical teams, and engage with customers to enhance product capabilities and satisfaction.
22 Days AgoSaved
In-Office
Palo Alto, CA, USA
Artificial Intelligence • Legal Tech
The Lead AI Engineer will develop and deploy scalable AI solutions, collaborate with teams, manage data pipelines, and mentor AI Engineers.