Production Manager

Summary

Join Snorkel AI as a Production Manager and manage and optimize processes to ensure high-quality outcomes and seamless delivery. Collaborate with Technical Delivery Managers, engage with Expert Contributors, conduct quality reviews, monitor pipeline health, track project progress, develop documentation, partner with stakeholders, and provide regular updates. This role requires proficiency with Google Workspace tools, strong data analysis skills, a proactive mindset, adaptability, excellent communication skills, and experience with technical and non-technical stakeholders. Bonus points are given for familiarity with data annotation pipelines, experience with SQL, strong analytical and process improvement capabilities, and a degree in an analytics-focused field. This is a full-time, 6-month fixed-term position with the potential for conversion to a permanent position. The salary range is $80,000-$120,000.

Requirements

• Proficiency with Google Workspace tools and strong data analysis skills
• A proactive, results-driven mindset with creative problem-solving abilities
• Adaptability to excel in a fast-paced, dynamic environment
• Excellent written and verbal communication skills in English
• Experience working with technical and non-technical stakeholders
• The ability to work independently and collaboratively in a remote setting

Responsibilities

• 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

Preferred Qualifications

• Familiarity with data annotation pipelines and machine learning workflows
• Experience with SQL or other database languages
• Strong analytical and process improvement capabilities
• A degree in an analytics-focused field (e.g., Engineering, Economics, Business) or an interest in Computer Science, Statistics, or Data Analytics

Benefits

• Comprehensive medical, dental, and vision plans for Snorkelers and their families
• A yearly wellness stipend
• 401k program
• Parental leave program lets new parents take up to 20 weeks of paid time off
• Workstation setup allowance