Music Content Operations AIML Program Lead

What you'll do

• Develop and execute strategies to scale music curation through AI models, agents, and automation.
• Translate complex operational challenges into technical requirements for engineering and data science teams.
• Build infrastructure to integrate agentic systems into existing content curation workflows.
• Define the operating model for human-in-the-loop systems to manage high-risk or quality-critical decisions.
• Create evaluation frameworks, including golden sets and quality metrics, to judge if AI solutions are production-ready.
• Design tools that surface model outputs and confidence scores for human reviewers to validate.
• Conduct ROI and impact analyses to prioritize long-term structural automation over short-term wins.
• Create executive-level narratives and presentations to communicate progress and trade-offs to leadership.

What we're looking for

• Minimum of 5 years of experience in operations, program management, or technical product roles with exposure to AI/ML workflows.
• Experience translating operational problems into ML requirements and working with data scientists and engineers through development cycles.
• Exposure to LLM-based workflows, prompt evaluation, or agentic automation for content moderation or classification.
• Experience evaluating model outputs by designing eval sets, quality metrics, error analysis, and human feedback loops.
• Experience designing or specifying review/annotation tooling that surfaces AI inputs to human reviewers.
• Conceptual understanding of core analytics principles including sampling, hypothesis testing, and statistical measurement.
• Ability to produce executive-ready written narratives and presentations for senior leadership.
• Bachelor's degree in Engineering, Business, Economics, or equivalent experience.