EliseAI

HQ
New York, New York, USA
Total Offices: 2
165 Total Employees
50 Product + Tech Employees
Year Founded: 2017

Offices at EliseAI

EliseAI is headquartered in New York, New York, USA and has 2 office locations.

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

We are a fully in-office company with a beautiful new office located at E 33rd Street and Park Ave. Our employees work in person 4-5 days per week.

Typical time on-site: 5 days a week

U.S. Office Locations

HQ
New York, New York, USA

EliseAI is based in Midtown, a block away from the Empire State Building. There is plenty going on in this area, with many bars and restaurants, as well as a number of iconic buildings and landmarks. The office is served by lots of subway lines, making getting in and out of the office a breeze.

San Francisco, California, USA

San Francisco, California , United States

Search the 45 jobs at EliseAI

Recently posted jobs

Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Real Estate
The Senior Revenue Operations Manager will develop and implement sales processes, manage Salesforce, maintain dashboards, and support sales teams. They will work cross-functionally to align on company goals, ensuring data integrity across various systems and tools.
11 Hours Ago
New York, NY, USA
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Real Estate
As a Staff Software Engineer at EliseAI, you'll lead the development of a core software platform that automates leasing processes, propose architecture improvements, and drive engineering best practices while collaborating with a talented team. Your role will focus on enhancing operational efficiencies for clients in housing and healthcare industries.
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Real Estate
The Senior Technical Customer Success Manager is responsible for managing customer relationships, ensuring successful adoption of products, and bridging communication between customers and internal teams. Key responsibilities include providing support, analyzing data for optimization, and documenting customer feedback for product improvement.