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Liftoff

HQ
Redwood, California, USA
Total Offices: 3
645 Total Employees
235 Product + Tech Employees
Year Founded: 2012

Offices at Liftoff

Liftoff is headquartered in Redwood, California, USA and has 3 office locations.

Remote Workplace

Employees work remotely.

We are a remote first company with Hubs located around the world. These Hubs are a place for employees and teams to gather for purposeful, collaborative and productive work and to host events throughout the year.

Typical time on-site: None

U.S. Office Locations

HQ
Redwood, California, USA

Our US Headquarters is located in vibrant downtown Redwood City, conveniently located within walking distance from the CalTrain station & a wide variety of retail & dining options.

Los Angeles, California, USA

Our LA Hub is located in the vibrate neighborhood of Westwood near UCLA.

New York, New York, USA

Our New York Hub is located in the NoMad district of NYC.

Recently posted jobs

Yesterday
Remote
United States
AdTech • Big Data • Machine Learning • Marketing Tech • Mobile • Software
As a backend engineer at Liftoff, you will build and manage core engines for data processing and distributed systems, improve tools for frequent deployments, and partner with product teams to strategize. You will also contribute to a culture of engineering excellence and lead changes across teams to enhance systems.
2 Days Ago
Remote
United States
AdTech • Big Data • Machine Learning • Marketing Tech • Mobile • Software
As a Full Stack Software Engineer at Liftoff, you'll develop ad formats within mobile SDKs, ensure cross-platform compatibility, enhance system efficiency, and mentor junior engineers. You'll collaborate with product and engineering teams to build features that maximize engagement and performance while maintaining high standards of code quality through code reviews and automated testing.
2 Days Ago
Remote
United States
AdTech • Big Data • Machine Learning • Marketing Tech • Mobile • Software
The Senior Machine Learning Engineer will develop and maintain machine learning models, optimizing pipelines, and monitoring model performance. They will collaborate with a team to bring innovative ideas and effectively communicate complex concepts to diverse audiences.