Liftoff Offices

Liftoff is headquartered in Redwood and has 3 office locations.

Hybrid Workplace

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

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: Not Specified

U.S. Office Locations

HQ

Redwood

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

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

New York

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

Recently posted jobs

2 Days AgoSaved
Easy Apply
Remote
United States
Easy Apply
AdTech • Artificial Intelligence • Big Data • Machine Learning • Marketing Tech • Mobile • Software
Lead product marketing for Liftoff's adtech portfolio: define positioning, create sales enablement and campaigns, lead GTM launches, drive market intelligence, and translate technical features into compelling content while partnering cross-functionally across regions.
2 Days AgoSaved
Easy Apply
Remote
United States
Easy Apply
AdTech • Artificial Intelligence • Big Data • Machine Learning • Marketing Tech • Mobile • Software
Design, prototype, and productionize GenAI systems that generate end-to-end ad creatives (including interactive playables). Build robust pipelines, guardrails, and evaluation infrastructure (human-in-the-loop, A/B testing). Partner with creative and product teams, research new model capabilities, and mentor engineers to raise engineering and AI standards.
2 Days AgoSaved
Easy Apply
Remote
United States
Easy Apply
AdTech • Artificial Intelligence • Big Data • Machine Learning • Marketing Tech • Mobile • Software
Lead the Creative Serving engineering team to define strategy, roadmap, and execution. Translate business goals into technical deliverables, collaborate with ML and product stakeholders, ensure high-uptime integrations with partner exchanges, provide technical guidance and feedback, enforce engineering best practices, balance short- and long-term priorities, and mentor engineers into future leaders.