Open jobs in United States: on-site, hybrid and remote.
10 jobs found · United States
Remote, United StatesNorth America
As a Journey Architect on GitLab's Digital Customer Outcomes team, you'll design journeys that turn meaningful customer actions into retention, consumption and revenue…
Remote, United StatesNorth America
As a Lead/Principal Journey Architect on GitLab's Digital Customer Outcomes team, you'll connect programs into customer journeys that drive meaningful actions…
Remote, Canada; Remote, United StatesNorth America
As an Intermediate Fullstack Engineer on GitLab's Subscription Lifecycle team within Monetization, you'll build the frontend experiences and backend services customers…
New York, New York, United StatesNorth America
You are the client's day-to-day executive counterpart, the leader of a pod of Forward Deployed Engineers (FDEs), and the owner of the engagement's scope, timeline…
We are seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training.
New York, New York, United StatesNorth America
The Engagement Manager owns that outcome: from signed SOW through production deployment, adoption, and renewal. You are the client's day-to-day executive counterpart…
New York, New York, United States; San Francisco, California, United States; Seattle, Washington, United StatesNorth America
You will own the production system behind Turing’s software-engineering data programs, turning complex research requirements into predictable delivery across quality…
We are seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training.
We are seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training.
We are seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training.