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

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

Austin

Austin, United States

Boston

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

Chicago

Chicago

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

San Francisco

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

Recently posted jobs

One Month AgoSaved
In-Office
3 Locations
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Real Estate
Lead end-to-end customer deployments for an early-stage AI platform: scope, run discovery, manage multi-threaded projects, coordinate product/engineering, drive configuration/migration, support change management, inform product, build repeatable playbooks, and support sales and expansion while ensuring stakeholder alignment and successful adoption.
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Real Estate
Leads identification, development, and launch of new products and market opportunities in housing technology. Owns market research, competitive analysis, product strategy, go-to-market planning, pricing, positioning, and launch execution. Coordinates Product, Engineering, GTM, Marketing, Sales, and Customer Success teams, manages strategic project plans, tracks outcomes, and advises senior leadership using market intelligence and data-driven analysis.
One Month AgoSaved
In-Office
2 Locations
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Real Estate
Own customer deployments of AI products from discovery through launch. Analyze complex customer data, identify discrepancies, resolve blockers, coordinate with customer and internal teams, and partner with Product and Engineering on issue resolution and product improvements. Establish repeatable deployment processes, documentation, and communication practices while managing risks, decisions, and progress across stakeholders.