Companies EliseAI

EliseAI

New York

Total Offices: 5

550 Total Employees

Year Founded: 2017

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Sales 7 Customer Success & Experience 2 Engineering 1 Product Management 1

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EliseAI Offices

EliseAI is headquartered in New York and has 5 office locations.

OnSite Workplace

Employees work from physical offices.

We are a fully in-office company with a beautiful new office located on 5th Ave in NYC, as well as in SF, Chicago, Boston, Dallas and Toronto. 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 Austin Boston Chicago San Francisco

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.

Austin, United States

501 Boylston St, 9th floor, Boston, Massachusetts , United States, 02116

330 N Wabash Ave, Chicago, Illinois, United States, 60611 3514

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425 California St, San Francisco, California, United States, 94104 2102

Recently posted jobs

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EliseAI

Solutions Engineer, Implementation & Delivery | Housing

One Month AgoSaved

In-Office

Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Real Estate

The Solutions Engineer will manage technical implementations for enterprise clients, collaborating with various teams to ensure customer success and satisfaction across both housing and healthcare sectors.

EliseAI

AI Engagement Manager | Housing

One Month AgoSaved

In-Office

Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Real Estate

The AI Engagement Manager will lead strategic relationships with clients to implement AI solutions, driving business transformation and optimizing operations in the housing sector.

EliseAI

Customer Education Specialist | Housing

One Month AgoSaved

In-Office

Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Real Estate

The Customer Education Specialist will manage onboarding processes, deliver training sessions, gather feedback, and enhance client experience with products.

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