black Hinge "H" on white background

Hinge

New York, New York, USA
305 Total Employees
230 Product + Tech Employees
Year Founded: 2011

Offices at Hinge

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

Hinge believes in the power of in-person connection. We have adopted a hybrid model that allows our people to stay connected to each other in-person.

Typical time on-site: 2.5 days a week

U.S. Office Locations

New York, New York, USA

Our office is located in the beautiful Meatpacking district. We're steps away from the Whitney Museum of American Art and the High Line and near Chelsea Market. You'll not only fall in love with us, but with our office.

Recently posted jobs

2 Days Ago
Easy Apply
Hybrid
New York, NY, USA
Easy Apply
Artificial Intelligence • Machine Learning • Mobile • Other • Social Impact • Software • App development
As a Senior Data Engineer at Hinge, you will design and optimize data pipelines, collaborate with teams to enhance product services through data-driven solutions, and ensure system reliability. You will advocate for best practices in Data Engineering and mentor junior engineers, directly impacting the user experience for millions.
2 Days Ago
Easy Apply
Hybrid
New York, NY, USA
Easy Apply
Artificial Intelligence • Machine Learning • Mobile • Other • Social Impact • Software • App development
The Lead Product Manager for Monetization at Hinge will lead initiatives to optimize revenue streams while enhancing user value. Responsibilities include product strategy, roadmap planning, communication with stakeholders, feature development, and data analysis to drive growth.
3 Days Ago
Easy Apply
Hybrid
New York, NY, USA
Easy Apply
Artificial Intelligence • Machine Learning • Mobile • Other • Social Impact • Software • App development
The Director of Data Engineering at Hinge will lead and advance the data engineering discipline, ensuring high-quality data pipelines and products for analytics and machine learning. Responsibilities include shaping data strategy, collaborating with cross-functional teams, mentoring engineers, and driving data-driven innovation while maintaining system reliability and scalability.