Senior Manager - AI Data Operations

You will lead an organization of internal domain experts, building scalable annotation programs that balance accuracy and speed while maintaining quality standards. You will partner closely with Engineering, Data Science, and Programs to translate evolving system requirements into robust audit pipelines, tooling strategies, and measurable performance lift. Minimum Qualifications MS in Computer Science, Statistics, Applied Math or a related field 8+ years of people management of data scientists, statisticians, or other analysis-related teams. 10-12 Years in AI data operations or ML program leadership. Demonstrated experience leading large-scale annotation or data operations teams. Skilled at attracting new talent, as well as developing talent within the team and planning for succession. Builds a culture where values guide decisions, people are put first, and innovation drives quality results. Communicates with humility and curiosity, creating an environment where people feel safe to share feedback openly. Strong understanding of ML lifecycle, model evaluation metrics, and feedback loops. Proven track record building scalable quality systems in high-growth environments. Ability to influence cross-functional technical leaders and executives. Deep analytical mindset with comfort in ambiguity and rapid iteration environments. Preferred Qualifications Experience designing RLHF or structured human feedback programs. Background in large language model evaluation and red-teaming. Familiarity with synthetic data strategies. Exposure to the software development lifecycle or internal tooling investments. Prior experience managing a data operations team.