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

Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Real Estate
Supports customer deployments of AI-powered finance products by reconciling financial data, investigating discrepancies, validating product workflows, and resolving launch issues. Works with customer accounting teams and internal Product and Engineering partners, tracks blockers, documents processes, and identifies opportunities for automation. Requires audit or assurance experience, strong accounting and spreadsheet skills, client communication, attention to detail, and willingness to work in person four to five days weekly.
23 Hours AgoSaved
In-Office
New York City, NY, USA
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Real Estate
The Lead Economist will build EliseAI’s housing economics research and market insights function. Responsibilities include analyzing proprietary data, creating housing benchmarks and reports, developing compelling narratives, presenting findings to executives, clients, and media, and partnering with marketing, product, and data teams. The role will also expand research through media and academic partnerships and strengthen the company’s employer brand. Candidates need strong quantitative storytelling, modern data-stack skills, housing interest, and willingness to work in-office four to five days weekly.
23 Hours AgoSaved
In-Office
New York City, NY, USA
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Real Estate
Supports and scales revenue operations across Sales, Marketing, Finance, Legal, and Customer Operations. Responsibilities include improving workflows, maintaining GTM systems and data integrations, supporting deal desk and quote-to-cash processes, managing sales requests, building dashboards, identifying process gaps, and translating business needs into technical solutions. The role requires strong analytical execution, SQL proficiency, cross-functional communication, and comfort working in a fast-paced, fully in-office environment.