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As a Senior/Staff Software Engineer, you will design and maintain enterprise features for the Snorkel AI platform, enhance security and observability, collaborate with enterprise customers, lead junior engineers, and participate in on-call responsibilities in a hybrid work environment.

The Product Manager will drive product activities from vision to launch for Snorkel Flow, focusing on enterprise AI. Responsibilities include understanding customer needs, executing product strategy, collaborating with cross-functional teams, and delivering solutions. The role demands strong communication skills and the ability to connect business problems to machine learning solutions.

As a Senior Frontend Engineer, you will design and develop key user interfaces for Snorkel Flow, manage deployments, analyze data, and visualize metrics. You’ll advocate for UI standards, mentor team members, and collaborate with various teams while improving product iteration.

As a Senior/Staff Software Engineer in Backend, you will own the architecture and operations of large-scale distributed systems, develop scalable backend services for ML workflows, and collaborate closely in a customer-focused environment. You'll ensure CI/CD pipelines are maintained and provide on-call support for production systems.

As a Senior Full Stack Engineer at Snorkel, you will develop features for the Snorkel Flow platform, focusing on machine learning development workflows. Responsibilities include designing interfaces, maintaining scalable services, and collaborating with cross-functional teams to enhance user experience.

The Regional Vice President will lead and develop a team of enterprise account executives, driving revenue growth and managing complex sales processes in an enterprise environment. Responsibilities include team recruitment, pipeline generation, sales strategy implementation, and collaboration with cross-functional teams.

The Data Annotator role involves labeling and curating data to train AI models, including tasks such as identifying objects in images, tagging text, and generating educational content like multiple-choice questions. This position requires attention to detail and expertise in STEM fields, with a focus on ensuring high-quality data for accurate AI model performance.