Head of Data Quality

About the role

The Head of Data Quality at Snorkel AI will build and own the quality system at the heart of our Data-as-a-Service (DaaS) business. Our DaaS business operates a digital data factory where expert human contributors produce customer-specific datasets at scale, akin to a high-mix, engineered-to-order manufacturing line. The role involves designing the end-to-end quality architecture, ensuring quality is measured, scaled, and continuously improved, and partnering across various teams to operationalize and scale quality.

Requirements

• 8+ years of experience in quality, operations, program management, or a related field, with a track record of building or significantly redesigning quality systems in complex, human-in-the-loop environments.
• Experience defining quality standards, measurement frameworks, and operating processes that drive consistent outcomes at scale.
• Strong analytical and problem-solving skills, including experience using data to measure performance, identify risks, and drive continuous improvement.
• Demonstrated ability to lead through influence and drive cross-functional initiatives across Product, Engineering, Operations, and business teams.
• Excellent communication and stakeholder management skills, with the ability to operate effectively from executive discussions through day-to-day execution.
• Comfortable operating in ambiguity, establishing structure where none exists, and building systems, processes, and teams from the ground up.
• Experience may come from AI data and evaluation organizations, or from other industries that operate complex quality systems at scale, including manufacturing, life sciences, localization, aerospace, or other highly customized production environments.
• Bonus points for experience building or scaling quality programs for AI data, model evaluation, or other human-in-the-loop AI workflows.
• Familiarity with AI-assisted quality methods, including LLM-as-judge, automated review systems, or other model-assisted approaches.
• Experience operating in environments with evolving requirements, complex task types, or rapidly changing definitions of quality.
• Master's degree in a relevant field, or an MBA with an operations or quality focus.

Qualifications

• Experience in AI data and evaluation organizations, or from other industries that operate complex quality systems at scale, including manufacturing, life sciences, localization, aerospace, or other highly customized production environments.
• Comfortable operating in ambiguity, establishing structure where none exists, and building systems, processes, and teams from the ground up.
• Experience in consulting, engineering, operations, or other roles that demonstrate strong first-principles thinking and problem solving.
• Master's degree in a relevant field, or an MBA with an operations or quality focus.

Skills

• Strong analytical and problem-solving skills.
• Experience using data to measure performance, identify risks, and drive continuous improvement.
• Ability to lead through influence and drive cross-functional initiatives across Product, Engineering, Operations, and business teams.
• Excellent communication and stakeholder management skills.
• Comfortable operating in ambiguity, establishing structure where none exists, and building systems, processes, and teams from the ground up.
• Experience in AI data and evaluation organizations, or from other industries that operate complex quality systems at scale, including manufacturing, life sciences, localization, aerospace, or other highly customized production environments.
• Master's degree in a relevant field, or an MBA with an operations or quality focus.

Benefits

Depending on your work location, the target annual salary base for this position can range from $280,000 to $350,000. All offers include equity compensation in the form of employee stock options.

Pay

Depending on your work location, the target annual salary base for this position can range from $280,000 to $350,000. All offers include equity compensation in the form of employee stock options.

Schedule

Full-time.