Representing the team to executive leadership across AIML and SWE, including Senior Vice Presidents.10+ years of experience in data science and machine learning evaluation, including 6+ years leading large technical teams Advanced degree in a quantitative field such as Statistics, Computer Science, Machine Learning, or similar Demonstrated track record of running organizations of 50+ data scientists and/or machine learning engineers Deep experience in human evaluation methodology, logging, and AB testing for consumer-facing products at scale Hands-on experience building and deploying LLM-based autograders and rubrics, and using them to drive proactive improvements in models and agentic features Strong written and verbal communication skills, able to communicate effectively with engineers and senior leaders, including Senior Vice PresidentsExperience evaluating large consumer AI products such as conversational assistants, search systems, or agentic features Experience with logging infrastructure and instrumentation for AI product quality measurement Track record of growing senior leaders from within your organization and where needed recruiting senior data science and machine learning talent in competitive hiring markets Familiarity with evaluation frameworks for agentic systems and tool-use Strong written and verbal communication skills, able to communicate effectively with engineers and senior leaders, including Senior Vice Presidents. Successful candidates will have deep experience in traditional human evaluation methodology, logging, and A/B testing, in addition to hands-on experience building and deploying LLM-based autograders and rubrics, and using these tools to proactively drive improvements in models and agentic features.