Create, document, and maintain policies and guidelines governing AI interactions, content handling, and tool workflows. Document edge cases, decision rationales, and recommendations with clear, concise written communication. Design, review, and refine prompts and instructions for AI systems interacting with tools, APIs, and external services. Collaborate with product, engineering, and safety teams to iterate on prompts, policies, and workflows. Evaluate AI responses for critical reasoning quality, correctness of parameters, and adherence to policies. Spin the data flywheel to extract insights from extensive language datasets to uncover issues and opportunities to improve model response quality. Support multilingual use cases by validating prompts and responses across multiple locales, with attention to nuance and clarity. Bachelor's Degree AND 8+ years experience in product/service/program management or software development. OR equivalent experience. 1+ year(s) people management experience. 8+ years of experience in AI quality, content review, trust and safety program or operation roles. Proven ability to lead high performing teams with measurable impact. Proven policy interpretation skills: drafting, interpreting, and applying guidelines or policies in an operational setting. Hands-on experience with prompt design, context window management, and model evaluation. Proven ability to translate complex data engineering and analytics concepts into annotation frameworks, quality standards, and training materials. Demonstrated experience with prompt engineering or writing clear, structured instructions for AI or automation systems. Solid attention to detail, particularly in checking parameters, arguments, and compliance with specified schemas or policies. Solid communication skills, with the ability to write clear, concise rationales and explanations; comfort working with multilingual contexts across many locales. Excellent critical reasoning and judgment, especially when evaluating ambiguous or complex cases. Bachelor's Degree in Computer Science, Philosophy, Linguistics, Psychology, Literature, or related discipline AND 2+ years experience in language or context engineering.
