Program Manager, ML Data Operations

📋 Description

• Own operational quality within the data team
• Establish and maintain a single source of truth on quality metrics for all stakeholders
• Design and maintain annotation and QC frameworks, including failure categories and review processes
• Establish a real-world performance measurement, balancing accuracy and resources
• Monitor and document the performance of external suppliers and contractors
• Create and evolve operational playbooks and SOPs to make sure processes are efficient and effective

🎯 Requirements

• 5+ years of experience in a quality role on production-grade deployment
• Strong analytical and statistical thinking
• Proven experience designing and improving end-to-end workflows and SOPs
• Hands-on, detail-oriented working style and willingness to dive into concrete data, images, and human annotations
• Excellent written and verbal communication skills, including explaining quality concepts to non-experts
• Proven track record of influencing without formal authority in cross-functional, multi-stakeholder environments

Nice to have

• Experience working with annotation vendors, BPOs, or freelance workforces
• Familiarity with computer vision or ML data pipelines

The good stuff

• We are certified as a “Great Place to Work” in 7 countries!
• Smart, people-first culture
• Flexible, office, hybrid or home working
• Innovation hackathons
• Global team outings
• Learning and development opportunities