Companies EliseAI

EliseAI

New York

Total Offices: 5

550 Total Employees

Year Founded: 2017

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Sales 5 Customer Success & Experience 4 Product Management 3

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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 Boston Chicago Dallas 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.

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

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

Dallas, United States

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

Recently posted jobs

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EliseAI

Customer Training Specialist | Housing

10 Hours AgoSaved

In-Office

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

The Customer Training Specialist will ensure smooth client onboarding and transition, conduct trainings, gather feedback, and enhance user experiences with products.

EliseAI

Partner Development Manager | Housing

YesterdaySaved

In-Office

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

Own revenue generation from existing GTM partners by building executive relationships, driving partner-sourced pipeline and co-selling motions, enabling partner reps with field-ready materials, and reporting partner performance and QBRs in Salesforce.

EliseAI

GTM Enablement Manager | Housing

16 Days AgoSaved

In-Office

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

Responsible for designing and implementing training programs for Sales and Customer Success teams, improving performance through metrics, and collaborating with departments for training needs.

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