Offices at Dandy

Dandy is headquartered in New York, New York, USA and has 3 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

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

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.

Recently posted jobs

Computer Vision • Healthtech • Information Technology • Logistics • Machine Learning • Software • Manufacturing
As a Senior Software Engineer at Dandy, you will develop features for the supply chain stack, collaborate with product teams, optimize manufacturing processes, and ensure high-quality delivery of software solutions. You'll thrive in a remote-first culture and drive projects from concept to production.
Computer Vision • Healthtech • Information Technology • Logistics • Machine Learning • Software • Manufacturing
The Senior Software Engineer will develop and implement algorithms for 3D geometry for dental restorations, creating tools for CAD systems that interact with manufacturing machines and integrating AI solutions.
Computer Vision • Healthtech • Information Technology • Logistics • Machine Learning • Software • Manufacturing
The role involves enhancing a 3D dental platform using computer vision and machine learning, guiding teams, and implementing rendering strategies.