Open jobs in United States: on-site, hybrid and remote.
10 jobs found · United States
Remote · San FranciscoNorth America
We’re looking for a Data Scientist, Analytics Enablement to turn complex financial and business questions into reliable data products, clear analyses, and actionable…
As a Data Center Controls Engineer, you will program, configure, integrate, and commission the controls systems that support high-density AI data centers. We are seeking…
New York, New York, United StatesNorth America
You will not manage existing anchor accounts or own renewals and account management. Full-cycle enterprise selling: Experience leading enterprise sales from initial…
Palo Alto, California, United States; San Francisco, California, United StatesNorth America
Commercial accountability: You will be expected to manage a qualified pipeline and consistently deliver against assigned commercial targets. Complex stakeholder…
Remote, United StatesNorth America
As a Data Scientist at GitLab on the Enterprise Analytics team, you’ll be a trusted analytical partner to Sales, Revenue Operations, and Finance, helping define how we…
Remote, United StatesNorth America
As Senior Manager, Data Science, you'll lead Product Data Science: a team of 6 Data Scientists within GitLab's data organization, reporting to the Director of Data…
Palo Alto, California, United States; San Francisco, California, United StatesNorth America
The Marketplace Operations Lead takes on the hardest of those requests: US-based roles, role types we've never hired for before, and large, urgent hiring pushes where a…
Director, Partnerships Turing Intelligence United States (New York City preferred) Full-time We run as a startup inside Turing, and our forward-deployed engineers work…
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.