| Name | Title | Contact Details |
|---|---|---|
Josh Larsen |
Director of Cloud Product | Profile |
Brad Geesaman |
Director of Cloud Security | Profile |
Brad Geesaman |
Director of Cloud Security | Profile |
Paul Calatayud |
Chief Information Security Officer | Profile |
Innovative brands know that customer data is at the heart of delivering exceptional customer experiences. The 3 keys to success are breaking up customer data silos, breaking free from legacy customer data management systems, and breaking through barriers with a better understanding of customers to win in the experience economy. Data innovators trust Reltio Connected Customer 360 Profiles to drive hyper-personalization, reimagine customer-centric business processes, simplify compliance with privacy laws, such as GDPR and CCPA, and manage consent and communication preferences at a global level. If you are a Data Innovator and want to position your company to win in the experience economy, let`s talk! We are hiring! We have the highest growth rate in our market category and a strong customer renewal and expansion rate. Our cultural values focus on living a customer-first approach, driving innovation, delivering business value, and creating an environment where everyone can learn, grow and have fun! As a matter of fact, we`ve been rated the #1 Best Small Workplace to work in America by Fortune Magazine and we`ve been featured on the Deloitte 2019 Technology Fast 500™ List for 2 years in a row.
Makeover Solutions is a New York, NY-based company in the Software and Internet sector.
Stay compliant with a quality management system (eQMS) designed to streamline your process, easily be used by your team, and priced differently to make controlling quality together possible, whether you are a small startup or multi-site team.
Joule is a New York, NY-based company in the Software and Internet sector.
Katonic MLOps Platform combines the creative scientific process of data scientists with the professional software engineering process to build and deploy Machine Learning Models into production safely, quickly, and in a sustainable way.