Open jobs in United States: on-site, hybrid and remote.
248 jobs found · United States
Remote · Seattle, WashingtonNorth America
As a Senior Engineer, you will get the chance to design, build, and maintain significant portions of our backend functionality for highly scalable, multi-tenant Nexus…
You will build and own the infrastructure foundation of our reinforcement learning framework, enabling RL-driven gameplay systems that can scale across current and…
Zeta Global Corp. seeks a Lead Analyst, Programmatic Analytics and Strategy in NYC to Serve as the client-facing lead responsible for communicating campaign strategy…
Remote · New York, NYNorth America
The work runs from video pipelines and serving infrastructure through mobile and web clients to rights systems, so engineers get real depth and range. Product, design…
San Francisco, CANorth America
As Revenue Operations Manager for Enterprise GTM, you will own the measurement layer of our go-to-market engine.
Remote - Fort Lauderdale, FL; Remote - United StatesNorth America
The Programmatic Analytics and Strategy team at Zeta Global provides actionable insights to both external customers and internal teams. As Manager, you will oversee a…
San Francisco, CANorth America
Bachelor’s degree in Computer Science, Computer or Software Engineering or Information Systems plus 5 years of experience in the job offered or in a related occupation.
Remote · United States (Remote)North America
Temporal is looking for a Software Engineer II to join the Open Source Server team.
Remote · United States (Remote)North America
We’re hiring a Staff Software Engineer to join the Replication Foundations team within Temporal’s Cloud Global Services (CGS) organization.
San Francisco, CANorth America
This is a hybrid role based out of either our San Mateo, CA or San Francisco, CA office.
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.