Offices at Cash App

Hybrid Workplace

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

Cash App has always been a distributed team working across timezones and continents. Today, we're remote-first by default, but encourage you to choose how you want to work: from home, one of our offices, or a mix of both.

Typical time on-site: Flexible

U.S. Office Locations

Global Office Locations

Atlanta, Georgia, USA

Located at The Mill in what was once an epic music venue, our Atlanta office is in the Old Fourth Ward neighborhood just steps away from Ponce City Market. It features a workshop and an indoor/outdoor playground (yes, there is a slide).

Charlotte, North Carolina, USA

The Charlotte office is one of our newer locations. It's home to our Taxes team, which is focused on building free, fast, and simple tax filing experiences for customers. The team is growing fast and will be expanding to a new office soon.

Kitchener, Ontario, CAN

Where engineers roam free. One of the world's foremost engineering hubs. Kitchener-Waterloo is home to our very first Engineering team. Also skating, curling, and some notorious barbecues.

Melbourne, Victoria, AUS

Coffee, cricket, and code. Melbourne's home to our second biggest engineering team. It's also known for killer coffee and its labyrinth of laneways, covered with street art and packed with exceptional food and drinks.

New York, New York, USA

A stately structure in SoHo. HQ for many designers and engineers. Cobblestones below, roof deck on top.

Portland, Oregon, USA

Right smack in the middle of downtown Portland. Home of Cash Customer Operations. Be prepared for food trucks, snow-capped volcanoes, and tons of bridges.

Salt Lake City, Utah, USA

Our SLC office is home to our Banking team. This is a perfect city for people who enjoy being close to nature and far from sea level.

San Francisco, California, USA

The original Cash App office, home to more teams than any other. Right in the heart of the Mission District. Mezzanine library, floor to ceiling terrariums, and Karl the Frog.

Seattle, Washington, USA

Seattle, WA, United States

St Louis, Missouri, USA

HQ of the Customer Operations team, STL is like the Pentagon of helping people get the most out of Cash App. Beautiful atrium, soft seating, and yeah, you can see the big arch from the office.

Sydney, New South Wales, AUS

Our Sydney office is small and mighty. Like a habanero. Sydney is famous for its golden beaches, world-class restaurants, and Cash App engineers.

Toronto, Ontario, CAN

The Big Smoke. The Six. Home of Drake. The Toronto space is a hub for Machine Learning and Engineering, a sponsor of community events, and a community of plant lovers.

Search the 93 jobs at Cash App

Recently posted jobs

9 Hours Ago
8 Locations
Remote
Hybrid
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
As Product Counsel, you will provide legal guidance on product and feature development within the Cash App Banking team, ensuring regulatory compliance while developing new offerings and maintaining current ones. Responsibilities include drafting legal terms, collaborating with various teams, and advising on legal aspects of product launches.
23 Hours Ago
8 Locations
Remote
Hybrid
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
The Staff Machine Learning Engineer will shape the technical vision for credit and underwriting platforms, providing architectural direction while actively coding to solve complex challenges. Responsibilities include mentoring engineers, refining distributed systems, and collaborating with cross-functional teams to enhance feature delivery and engineering excellence.
2 Days Ago
San Francisco, CA, USA
Remote
Hybrid
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
The Senior Machine Learning Engineer will develop and enhance machine learning pipelines and infrastructure to secure Cash App's identity verification processes. This role involves building scalable solutions used to detect and manage inauthentic identities while collaborating with a team to drive effective machine learning practices.