Hinge Offices

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: 3 days a week

U.S. Office Locations

New York

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

11 Days AgoSaved
Hybrid
New York, NY, USA
Artificial Intelligence • Machine Learning • Mobile • Social Impact • Software • App development
Leads enterprise talent acquisition strategy, team development, workforce planning, recruiting operations, forecasting, executive reporting, technology direction, employer branding, and change management. Advises executives on hiring strategy, talent markets, organizational design, internal mobility, compensation governance, and recruiting performance while building scalable, compliant, and data-driven TA operations.
11 Days AgoSaved
Hybrid
New York, NY, USA
Artificial Intelligence • Machine Learning • Mobile • Social Impact • Software • App development
Partners with senior leaders to develop talent strategies, lead full-cycle recruiting for critical roles, improve hiring processes, conduct talent mapping, and build competitive sourcing pipelines. Uses recruiting analytics, structured interviewing, AI-enabled tools, and market intelligence to improve hiring outcomes. Advises on offer strategy, stakeholder alignment, inclusive hiring, employer branding, and candidate experience across Product and Business functions.
26 Days AgoSaved
Hybrid
New York, NY, USA
Artificial Intelligence • Machine Learning • Mobile • Social Impact • Software • App development
Designs, builds, and maintains data infrastructure, ETL pipelines, data models, and analytics data warehouses. Ensures accurate data flow from creation through presentation layers and supports reporting, analytics, and machine learning initiatives. Collaborates with stakeholders to deliver data products, improves engineering tooling and pipelines, participates in on-call support, and uses cloud, containerization, orchestration, streaming, and CI/CD technologies.