AIML - Senior Operations Program Manager - Responsible AI and Safety

Description

Minimum Qualifications

• Bachelor's degree in a related field
• 5+ years of experience in vendor/partner management, data operations, or program management, ideally supporting ML/AI evaluation, annotation, or data labeling programs
• Demonstrated experience managing external vendor relationships and/or internal annotation operations partnerships at scale, including statements of work, budget, and performance management
• Experience scaling human-labeled data pipelines, including dataset creation, quality calibration, storage, and governance
• Experience standing up or scaling operations across multiple international markets, including working with multilingual and multicultural vendor workforces
• Experience coordinating across functionally distinct but interdependent teams to close feedback loops and keep shared priorities aligned
• Experience owning documentation and translating operational needs into tooling or infrastructure roadmaps, partnering with engineering to scope and prioritize build work
• Strong ability to think strategically about operational tradeoffs while managing multiple concurrent initiatives in a fast-paced, evolving environment
• Proven track record managing budgets and vendor relationships at scale
• Proficiency with data tools (e.g., SQL, spreadsheets/BI tools) sufficient to track vendor performance, cost, and data quality metrics
• Excellent written and verbal communication skills, with demonstrated ability to translate operational risk and status for both technical and non-technical stakeholders

Preferred Qualifications

• Experience managing vendor or annotation partnerships specifically for AI safety evaluation, red-teaming, or Responsible AI programs
• Familiarity with goldset design, labeling guidelines, or LLM-judge/evaluation workflows sufficient to partner effectively with technical teams
• Experience building internationalization or localization operations for data labeling or evaluation programs
• Familiarity with regulatory frameworks relevant to AI safety and content risk across international markets
• Demonstrated success building operations or vendor programs from the ground up, including establishing new processes or partner relationships
• Executive presence and experience presenting operational risk assessments and scaling plans to senior leadership