Offices at Snap Inc.

Snap Inc. is headquartered in Santa Monica, California, USA and has 12 office locations.

Hybrid Workplace

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

Our “default together” approach is an 80/20 model where we are asking team members to spend 80% of the time, on average, in the office, with the remaining 20% of the time spent remote.

Typical time on-site: 4 days a week

U.S. Office Locations

HQ
Santa Monica, California, USA

Snap LA is located in the Santa Monica Business Park. We're across the street from a ton of great restaurants, coffee shops, Clover Park, and more!

Austin, Texas, USA

Austin, TX, United States

Bellevue, Washington, USA

Bellevue, WA, United States, 98004

Boulder, Colorado, USA

Boulder, CO, United States

Chandler, Arizona, USA

Chandler, AZ, United States

Chicago, Illinois, USA

Chicago, IL, United States

Dallas, Texas, USA

Dallas, TX, United States, 75219

New York, New York, USA

Snap NYC is in the heart of Times Square in the former New York Times office building!

Palo Alto, California, USA

Palo Alto, CA, United States

San Francisco, California, USA

Snap SF is nestled in SoMa, steps from the Moscone Center and a quick walk from Powell Street BART station.

Seattle, Washington, USA

Our Seattle office is just steps away from Pike Place Market and has epic views of Seattle landmarks like the Space Needle, The Great Wheel, and more!

Washington, District of Columbia, USA

Washington, DC, United States, 20005

Recently posted jobs

Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Design and build causal machine learning models and evaluate A/B tests to optimize decision-making, while collaborating with product teams and maintaining infrastructure.
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Manage a team of data scientists to drive analytics for advertiser success, deepen advertiser understanding, and support sales initiatives.
An Hour Ago
Hybrid
2 Locations
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
The Data Engineer will build scalable ETL pipelines, manage data warehousing solutions, ensure data quality, and support data risk management practices.