Caden

Caden

New York, NY
31 Total Employees
31 Local Employees
Year Founded: 2021
Jobs at Caden

Search the 5 jobs at Caden

Recently posted jobs

AdTech • Big Data • Consumer Web • Enterprise Web • Marketing Tech
Seeking a Senior Machine Learning Engineer to lead a team in building, scaling, and launching AI and Data products. Responsibilities include strategic planning, developing ML/AI products, implementing innovative ML algorithms, and ensuring data privacy compliance. Must have a Master's or PhD in relevant field, 5+ years of ML model deployment experience, and 3+ years of people management experience.
AdTech • Big Data • Consumer Web • Enterprise Web • Marketing Tech
Seeking a Technical Product Manager to contribute to building, maintaining, and scaling consumer products. Responsibilities include managing development teams, collaborating with design and engineering teams, creating technical roadmaps, and coordinating communication across stakeholders.
AdTech • Big Data • Consumer Web • Enterprise Web • Marketing Tech
Seeking a Platform Operations (DevOps) Systems Engineer to contribute to building and scaling Caden's platform. Responsibilities include designing infrastructure, deploying updates, monitoring system health, and ensuring high availability and security.
AdTech • Big Data • Consumer Web • Enterprise Web • Marketing Tech
Lead Front End Engineer responsible for driving the development of a SaaS platform, leading development teams, and ensuring high-quality software solutions. Collaborate with cross-functional teams, provide technical leadership, and optimize front-end performance. Bachelor's degree in Computer Science with 5-7+ years of full stack web development experience required.
21 Days Ago
NYC
Hybrid
AdTech • Big Data • Consumer Web • Enterprise Web • Marketing Tech
Lead a team of data scientists, data engineers, and machine learning engineers to develop and deploy AI and Data products for multiple client use cases. Stay updated on the latest ML and AI advancements, design and implement innovative algorithms, ensure DataOps and MLOps practices, and comply with data privacy regulations.