Snorkel AI

Producer

• Collaborate with Technical Delivery Managers to meet project timelines, deliverables, and quality standards
• Engage with Expert Contributors to ensure high-quality datasets are delivered to customers
• Conduct quality reviews to maintain data annotation accuracy and consistency
• Monitor pipeline health and implement proactive solutions to prevent bottlenecks
• Track project progress and performance through data analysis and reporting
• Develop documentation for labeling guidelines and operational processes
• Partner with stakeholders across teams to resolve blockers and sustain production efficiency
• Provide regular updates to stakeholders on progress and key insights

Production Manager

Technical Project Manager

• Lead data development projects from start to finish, owning every phase of the project lifecycle
• Coordinate cross-functional teams and provide spirited encouragement to drive cross-functional ownership
• Manage risks: maintain a risk management plan and apply mitigation strategies as needed
• Keep initiatives on track and on budget; manage project finances by tracking expenses and aligning resources
• Break tasks down, track progress, and keep stakeholders informed about changes, risks, or blockers (Make Work Visible)
• Convert abstract requirements into clear project plans (Bridge Concept and Execution)
• Oversee data ingestion, transformation, and storage across multiple systems, leveraging SQL, JSON, and query management (Manage Data Flows)
• Collaborate with the Client Success team to structure project details for external or client-facing materials
• Present updates and forecasts using data-driven insights for diverse audiences (Communicate with Data)