Offices at Dandy

Dandy is headquartered in New York, New York, USA and has 10 office locations.

Remote Workplace

Employees work remotely.

We flex-first, which means trusting you to own your day and deliver, working where and how you want. We empower everyone to balance work and life in the way that works best for them. Due to the nature of the work, some roles need to be on-site.

Typical time on-site: None

U.S. Office Locations

Global Office Locations

HQ
New York, New York, USA

Situated at the intersection of FiDi and Tribeca, our NYC office is a perfect mix of convenience and location. We're steps away from the city's most iconic landmarks, including City Hall, South Street Seaport, and Wall Street, as well as a diverse array of restaurants and all major transit lines.

Carrollton, Texas, USA

3000 Kellway Dr, Suite 130, Carrollton, TX, United States, 75006

Costa Rica
Lehi, Utah, USA

Nestled between Salt Lake City and Provo, our Utah office sits in the center of the rapidly growing Silicon Slopes. Surrounded by innovation, it offers a perfect blend of business and lifestyle opportunities, with scenic mountain views, local eateries, and a thriving tech community.

Singapore
South Africa
United Kingdom

Recently posted jobs

YesterdaySaved
In-Office
Lehi, UT, USA
Computer Vision • Healthtech • Information Technology • Logistics • Machine Learning • Software • Manufacturing
The Business Development Representative will generate leads, utilize various outreach methods, track sales activity, engage prospects, and collaborate with sales leadership.
YesterdaySaved
Remote
USA
Computer Vision • Healthtech • Information Technology • Logistics • Machine Learning • Software • Manufacturing
The Operations Manager will design and implement systems for optimizing manufacturing operations, ensuring on-time delivery and allocation of resources.
Computer Vision • Healthtech • Information Technology • Logistics • Machine Learning • Software • Manufacturing
Lead MLOps team to build scalable infrastructure for 3D deep learning, drive ML roadmap execution, and collaborate cross-functionally to enhance ML pipelines.